Visual Artifacts Research Articles

Ecological decoding of visual aesthetic preference with oscillatory electroencephalogram features-A mini-review.

In today's digital information age, human exposure to visual artifacts has reached an unprecedented quasi-omnipresence. Some of these cultural artifacts are elevated to the status of artworks which indicates a special appreciation of these objects. For many persons, the perception of such artworks coincides with aesthetic experiences (AE) that can positively affect health and wellbeing. AEs are composed of complex cognitive and affective mental and physiological states. More profound scientific understanding of the neural dynamics behind AEs would allow the development of passive Brain-Computer-Interfaces (BCI) that offer personalized art presentation to improve AE without the necessity of explicit user feedback. However, previous empirical research in visual neuroaesthetics predominantly investigated functional Magnetic Resonance Imaging and Event-Related-Potentials correlates of AE in unnaturalistic laboratory conditions which might not be the best features for practical neuroaesthetic BCIs. Furthermore, AE has, until recently, largely been framed as the experience of beauty or pleasantness. Yet, these concepts do not encompass all types of AE. Thus, the scope of these concepts is too narrow to allow personalized and optimal art experience across individuals and cultures. This narrative mini-review summarizes the state-of-the-art in oscillatory Electroencephalography (EEG) based visual neuroaesthetics and paints a road map toward the development of ecologically valid neuroaesthetic passive BCI systems that could optimize AEs, as well as their beneficial consequences. We detail reported oscillatory EEG correlates of AEs, as well as machine learning approaches to classify AE. We also highlight current limitations in neuroaesthetics and suggest future directions to improve EEG decoding of AE.

Correction of uneven illumination in microscopic image through robust brightness distribution estimation and deviation rectification

For diagnostic purposes, the automatic microscopic scanning system can scan and stitch multiple slide images together to produce a Whole Slide Image. This process provides a clear, high-resolution picture of the slide sample under the high-power objective lens of the microscope, enabling accurate diagnosis and analysis. However, uneven illumination affects every image acquired by a microscope, resulting in the existence of artifacts. In this paper, a novel retrospective approach based on robust brightness distribution estimation and deviation rectification is proposed. Least squares estimation and Cauchy estimation with a smooth regularization term are used to obtain the accurate estimation of background illumination distribution. Then the deviation map is given based on the deviation function of the two directions for illumination correction. This method leverages the statistical properties of image sequences to enhance stability and robustness against biological image artifacts. Through experimental validation, this approach successfully eliminates visible edge artifacts that commonly appear between neighboring tiles and exhibits superior performance when compared to other methods.

The Volga Germans’ Confirmation as the Christians’ Lifestyle Evidence

The present paper deals with the confirmation evidence of the Volga Germans in the form of the visual communication artifacts, in which religious meaning has been depicted. The semiotic analysis has identified the structure of the confirmation documents in the symbolic space. The structure contains a number of similar grounds or markers and indicates the formation of the Volga Germans’ confessional culture. The religious ceremonies’ transmission and the traditional forms’ reconstruction by the Lutheran community in «the alien environment» were based on the existential nature, contributed to the preservation of the Russian Germans’ ethno cultural image, to the ethnic identity functioning and to the national consciousness determination. Having resettled to the vast Russian expanses and to the Volga region in particular and being isolated from their homeland, the Germans built their mode of life in accordance with the traditional religious way of life. Lutherans did their best in perpetuating every stage of the Christians’ lifestyle, the Lutheran confirmation texts detecting it easily. The preserved extant examples of the confirmation evidence maintained personal data of each believer. The quotations from the Bible, the Psalms, the lines from the pastor’s sermon, the verses of the anthems and chants, the Biblical stories paintings have been found in the symbolic space under research. Thus, he confirmation evidence has been proved to comprise Lutheran confessional culture markers on the verbal, artistic, musical levels in the symbolic space of the visual communication.

FaceSigns: Semi-Fragile Watermarks for Media Authentication

Manipulated media is becoming a prominent threat due to the recent advances in realistic image and video synthesis techniques. There have been several attempts at detecting synthetically tampered media using machine learning classifiers. However, such classifiers do not generalize well to black-box image synthesis techniques and have been shown to be vulnerable to adversarial examples. To address these challenges, we introduce FaceSigns — a deep learning based semi-fragile watermarking technique that allows media authentication by verifying an invisible secret message embedded in the image pixels. Instead of identifying and detecting manipulated media using visual artifacts, we propose to proactively embed a semi-fragile watermark into a real image or video so that we can prove its authenticity when needed. FaceSigns is designed to be fragile to malicious manipulations or tampering while being robust to benign operations such as image/video compression, scaling, saturation, contrast adjustments etc. This allows images and videos shared over the internet to retain the verifiable watermark as long as a malicious modification technique is not applied. We demonstrate that our framework can embed a 128 bit secret as an imperceptible image watermark that can be recovered with a high bit recovery accuracy at several compression levels, while being non-recoverable when unseen malicious manipulations are applied. For a set of unseen benign and malicious manipulations studied in our work, our framework can reliably detect manipulated content with an AUC score of 0.996 which is significantly higher than prior image watermarking and steganography techniques.

Transforming practices of co-creating values in a contemporary art exhibition

PurposeThis study aims to investigate how art events can enrich novice visitors by transforming their practices.Design/methodology/approachThis research uses an interpretive case study of the art exhibition “1/1/1/1/1” in the Oppenheim gallery in Wroclaw. It draws on multiple sources of evidence, namely, novice visitors’ interviews, observation including photo studies and content analysis of art-makers’ mediation sources. This study is an example of contextual theorizing from case studies and participatory action research with researchers as change agents.FindingsThe evidence highlights that aesthetic values and experiences are contextual to practices and are transformable into other values. The findings illustrate the role of practice theory in studying how art-makers inspire the transformation of practices, including values driving the latter.Research limitations/implicationsThe findings provide implications for transformations of co-creating contextual values in contemporary visual art consumption and customer experience management.Practical implicationsPractical implications to arts organizations are also provided regarding cultural mediation conducted by art-makers. Exhibition makers should explain the meanings of the particularly visible artefacts to allow visitors to develop a congruent understanding of the meanings. The explanations should not provide ready answers or solutions to the problem art-makers suggest to rethink.Social implicationsThe social implication of our findings is that stakeholders in artistic ventures may undertake adequate, qualified and convergent actions to maintain or transform the defined interactive practices between them in co-creating contextual aesthetic values.Originality/valueThe study provides new insights into co-creating values in practices in the domain of contemporary art exhibitions by bringing the practice theory together with an audience enrichment category, thus illustrating how novice visitors get enriched by transforming their practices led by contextual values of “liking” and “understanding”.

Subjective and Objective Quality Assessment of Rendered Human Avatar Videos in Virtual Reality.

We study the visual quality judgments of human subjects on digital human avatars (sometimes referred to as "holograms" in the parlance of virtual reality [VR] and augmented reality [AR] systems) that have been subjected to distortions. We also study the ability of video quality models to predict human judgments. As streaming human avatar videos in VR or AR become increasingly common, the need for more advanced human avatar video compression protocols will be required to address the tradeoffs between faithfully transmitting high-quality visual representations while adjusting to changeable bandwidth scenarios. During transmission over the internet, the perceived quality of compressed human avatar videos can be severely impaired by visual artifacts. To optimize trade-offs between perceptual quality and data volume in practical workflows, video quality assessment (VQA) models are essential tools. However, there are very few VQA algorithms developed specifically to analyze human body avatar videos, due, at least in part, to the dearth of appropriate and comprehensive datasets of adequate size. Towards filling this gap, we introduce the LIVE-Meta Rendered Human Avatar VQA Database, which contains 720 human avatar videos processed using 20 different combinations of encoding parameters, labeled by corresponding human perceptual quality judgments that were collected in six degrees of freedom VR headsets. To demonstrate the usefulness of this new and unique video resource, we use it to study and compare the performances of a variety of state-of-the-art Full Reference and No Reference video quality prediction models, including a new model called HoloQA. As a service to the research community, we publicly releases the metadata of the new database at https://live.ece.utexas.edu/research/LIVE-Meta-rendered-human-avatar/index.html.

Co-creating art with generative artificial intelligence: Implications for artworks and artists

Synthetic visual art is becoming a commodity due to generative artificial intelligence (AI). The trend of using AI for co-creation will not spare artists’ creative processes, and it is important to understand how the use of generative AI at different stages of the creative process affects both the evaluation of the artist and the result of the human-machine collaboration (i.e., the visual artifact). In three experiments (N = 560), this research explores how the evaluation of artworks is transformed by the revelation that the artist collaborated with AI at different stages of the creative process. The results show that co-created art is less liked and recognized, especially when AI was used in the implementation stage. While co-created art is perceived as more novel, it lacks creative authenticity, which exerts a dominant influence. The results also show that artists’ perceptions suffer from the co-creation process, and that artists who co-create are less admired because they are perceived as less authentic. Two boundary conditions are identified. The negative effect can be mitigated by disclosing the level of artist involvement in co-creation with AI (e.g., by training the algorithm on a curated set of images vs. simply prompting an off-the-shelf AI image generator). In the context of art that is perceived as commercially motivated (e.g., stock images), the effect is also diminished. This research has important implications for the literature on human-AI-collaboration, research on authenticity, and the ongoing policy debate regarding the transparency of algorithmic presence.

Attitudinal Effects of Data Visualizations and Illustrations in Data Stories.

Journalism has become more data-driven and inherently visual in recent years. Photographs, illustrations, infographics, data visualizations, and general images help convey complex topics to a wide audience. The way that visual artifacts influence how readers form an opinion beyond the text is an important issue to research, but there are few works about this topic. In this context, we research the persuasive, emotional and memorable dimensions of data visualizations and illustrations in journalistic storytelling for long-form articles. We conducted a user study and compared the effects which data visualizations and illustrations have on changing attitude towards a presented topic. While visual representations are usually studied along one dimension, in this experimental study, we explore the effects on readers' attitudes along three: persuasion, emotion, and information retention. By comparing different versions of the same article, we observe how attitudes differ based on the visual stimuli present, and how they are perceived when combined. Results indicate that the narrative using only data visualization elicits a stronger emotional impact than illustration-only visual support, as well as a significant change in the initial attitude about the topic. Our findings contribute to a growing body of literature on how visual artifacts may be used to inform and influence public opinion and debate. We present ideas for future work to generalize the results beyond the domain studied, the water crisis.

Improving Shape Transformations for RGB Cameras Using Photometric Stereo

The emergence of low-cost red, green, and blue (RGB) cameras has significantly impacted various computer vision tasks. However, these cameras often produce depth maps with limited object details, noise, and missing information. These limitations can adversely affect the quality of 3D reconstruction and the accuracy of camera trajectory estimation. Additionally, existing depth refinement methods struggle to distinguish shape from complex albedo, leading to visible artifacts in the refined depth maps. In this paper, we address these challenges by proposing two novel methods based on the theory of photometric stereo. The first method, the RGB ratio model, tackles the nonlinearity problem present in previous approaches and provides a closed-form solution. The second method, the robust multi-light model, overcomes the limitations of existing depth refinement methods by accurately estimating shape from imperfect depth data without relying on regularization. Furthermore, we demonstrate the effectiveness of combining these methods with image super-resolution to obtain high-quality, high-resolution depth maps. Through quantitative and qualitative experiments, we validate the robustness and effectiveness of our techniques in improving shape transformations for RGB cameras.

Martyrdom in the Age of Mechanical Reproduction

A tradition of martyr photography flourished during Mexico’s religiously motivated Cristero War (1926–29). Graphic photographic prints and postcards depicting executed Catholic activists and priests circulated widely during the conflict as a form of antigovernment propaganda, justifying comparisons of the Cristeros to the earliest persecuted Christians. Taking into account the iconographic and material features of these photographs as well as the medium’s particular ontological qualities, I explore how Cristero martyr images fulfilled comparable functions to early martyr narratives and relics by providing a compelling visual testimony and material trace of the martyr’s sacrifice. In these photographic images, the testimonial value and heightened verisimilitude of the early martyr text finds a parallel in a graphic documentary visual language that emerged with the increased mediatization of violence during the Revolution (1910–17). At the same time, these visual mementos sought to appeal to viewers on an affective level by drawing from long-standing iconographic vocabularies and material modes of devotional experience, most notably the tactile intimacy of the portable relic. Approaching the Cristero conflict from the analytical perspectives of visual culture and material religion, my research sheds new light on how Catholic activists conceptualized and justified violent sacrifice in their struggle for religious freedom while also making novel contributions to the history of Mexican photography. These complex visual artifacts reveal how Cristero propagandists utilized familiar religious images and concepts to provide a meaningful religious framework for their activism while also adapting strategies of martyr memorialization to the age of mechanical reproduction.

Актуальные методические подходы к разработке онлайн-курсов по искусствоведению

In an article on the topic of art history discipline, the forms and directions of including digital tools in the educational process. For the art historical disciplinary, the emphasis is on working with visual and verbal texts, focusing on the development of skills, analysis of various sources, professional writing and mastery of rhetoric, professional reading skills, critical assessment of sources, understanding the context of the creation of both one’s own art and their critical accompaniment. This needs to be considered when incorporating online learning elements into higher education courses using digital platforms. The introduction of slot machine forms and the importance of communication with the original source, skills in understanding the visual artifact, combined with the use of digital copies and working with originals. The use of digital tools to create exercises may include elements of gamification, but should be didactically justified, and their development should not contain restrictions. Also, students and teachers of humanities often require additional training courses on working with software, technical support and supervisor support. This also applies to the use of digital information tools, which are gradually shaping the individualization of learning (platforms, social networks, chat bots). The 20th Century Fashion: Art and Industry course examines the prospects and features of reverse instructional design in online continuing education courses.

Implementation of the method of encoding series lengths to provide procedures steganographic image insertion

The purpose of this article is to introduce the principle of encoding series lengths to provide inter-block data multiplexing of a hybrid steganoalgorithm. As part of the modeling, it is made the assumption that the attacker has successfully determined one of the two parameters of content processing: the size of the basic blocks (BB) and the implemented principle of series scanning. The modeling was performed on the example of one test halftone image of the «city» type. Samples of the attacked test image obtained for a short sample stack (length in 4 series) are presented. An analysis of the results of attack content when using different ways of smoothing the source images is carried out. The implementation of different smoothing ways allows to improve in the combinatorics of multiplexing series and the number of formed BB. It is emphasized that with an increased dimensionality of the BB, the combinatorics of the multiplex of series parameters is limited. The dimension of the BB and the way of organizing the series scanning are elements of the composite key of the data extractor. The use of the principle of encoding series lengths significantly reduces the computational complexity of the algorithm and creates conditions for the implementation of inter-block multiplexing procedures. It is concluded that the use of the parameter of series lengths destroys the correlation relations of the source data more than in the case of using only BB. The main elements at the stage of inter-block content processing are BB and their parameters of series lengths. The modeling results confirm the key role of the «series length» parameter in the procedure of legitimizing content extraction. The variability of the sampling order of the used parameters of the BB series significantly enhances the resistance of the content to unauthorized extraction attempts. Attention is drawn to the fact that the principle of encoding series lengths is limited in the background areas of images, which makes it possible to preserve highly informative image areas and determine the structure of visual artifacts. According to the modeling results, it is concluded that the use of the method of encoding series lengths in inter-block multiplexing procedures additionally strengthens the protection and complicates the work of the steganoanalyst and determines the further course of the attack.

The impact of personal care products on the image quality of Magnetic Resonance Imaging

BackgroundMagnetic Resonance Imaging (MRI) is a crucial diagnostic imaging tool as it has a high contrast resolution for soft tissues. In MRI, the artifact is an unwanted appearance in the image which degrades the image quality and hence hampers the accurate diagnosis of disease. The presence of metallic compounds in several personal care products (PCPs) causes artifacts in MR images. ObjectivesThis study aimed to find the relationship between hair and body (healthcare) products and MRI artifacts. MethodsA total of 22 PCPs (hairs, body, and a few makeup products) were tested utilizing a 1.5 T MRI scanner. The products were filled in a small plastic bag taped to the performance phantom. The phantom was placed in a brain RF coil and scanned using T1-weighted and T2-weighted images. ResultsA total of 16 out of 22 PCPs showed artifacts in the clinical and quantitative analysis, with effects ranging from mild to severe artifacts. ConclusionBased on the quantitative and clinical analysis of personal care products, it can be reported that some hair and body products, as well as cosmetics, can generate visual artifacts. If the artifact is located in the same area of interest as the image, it may degrade the image quality and lead to a medical misdiagnosis.

Interview with Giuliana Bruno

Giuliana Bruno is Emmet Blakeney Gleason Professor of Visual and Environmental Studies at Harvard University, situated in the Carpenter Center for Visual Arts. For over three decades, her critical thinking has been characterized by sophistication, rigor and originality, placing her among the leading world academics exploring intersections between visual arts, art history, architecture, film, and visual culture studies. Bruno's interdisciplinary approach has fostered connections between these fields, enriching our understanding of visual culture. Her work anticipated the field of ‘media archaeology’, uncovering and analyzing historical layers and traces embedded in visual artifacts for deeper contextual insights. She has also contributed significantly to spatial theory, particularly in relation to the intersection of architecture, art, and film, exploring how spaces and places shape our experiences and perceptions. In anticipation of her visit to São Paulo in December 2023, Significação: Revista de Cultura Audiovisual conducted a two-hour online interview with Bruno, focusing on Atmospheres of Projection and her other groundbreaking contributions.

Replication of the bSTAR sequence and open-source implementation.

The reproducibility of scientific reports is crucial to advancing human knowledge. This paper is a summary of our experience in replicating a balanced SSFP half-radial dual-echo imaging technique (bSTAR) using open-source frameworks as a response to the 2023 ISMRM "repeat it with me" Challenge. We replicated the bSTAR technique for thoracic imaging at 0.55T. The bSTAR pulse sequence is implemented in Pulseq, a vendor neutral open-source rapid sequence prototyping environment. Image reconstruction is performed with the open-source Berkeley Advanced Reconstruction Toolbox (BART). The replication of bSTAR, termed open-source bSTAR, is tested by replicating several figures from the published literature. Original bSTAR, using the pulse sequence and image reconstruction developed by the original authors, and open-source bSTAR, with pulse sequence and image reconstruction developed in this work, were performed in healthy volunteers. Both echo images obtained from open-source bSTAR contain no visible artifacts and show identical spatial resolution and image quality to those in the published literature. A direct head-to-head comparison between open-source bSTAR and original bSTAR on a healthy volunteer indicates that open-source bSTAR provides adequate SNR, spatial resolution, level of artifacts, and conspicuity of pulmonary vessels comparable to original bSTAR. We have successfully replicated bSTAR lung imaging at 0.55T using two open-source frameworks. Full replication of a research method solely relying on information on a research paper is unfortunately rare in research, but our success gives greater confidence that a research methodology can be indeed replicated as described.

Structure-aware multi-view image inpainting using dual consistency attention

Image inpainting based on deep learning has made remarkable progress and is widely used in image editing, cultural relic preservation, etc. However, most image inpainting methods are implemented based on single-view images. This does not fully utilize the known information and leads to unsatisfactory inpainting results. Moreover, these methods usually ignore the importance of image consistency and the surrounding regions, leading to irrelevant contents and visual artifacts in the inpainting results. To solve these problems, a structure-aware multi-view image inpainting method using dual consistency attention (SM-DCA) is proposed in this paper. It consists of two parts. The first part is the structure-aware multi-view image inpainting. This part constructs structure views as additional views to assist image inpainting. It is implemented by two networks: a structure inpainting network with strong constraints (SSC) and an image inpainting network with dual consistency attention (IDCA). SSC is used to repair structure views and make them closely resemble the ground truth through strong constraints. IDCA improves the consistency between the generated content and the whole image, making the repaired image more reasonable. The second part is image refinement, implemented by an image local refinement network (ILR). It can focus on the surrounding regions, eliminating boundary artifacts and obtaining finer local details. In Paris StreetView, SM-DCA achieves 22.0194, 0.7457 and 0.0557 in terms of PSNR, SSIM and MAE at 50%–60% damage. The corresponding values in CelebA are 22.5526, 0.8623 and 0.0453, respectively. The extensive experimental results on the Paris StreetView and CelebA datasets demonstrate the superiority of SM-DCA.

Spatial-Temporal Frequency Forgery Clue for Video Forgery Detection in VIS and NIR Scenario

In recent years, with the rapid development of face editing and generation, more and more fake videos are circulating on social media, which has caused extreme public concerns. Existing face forgery detection methods based on frequency domain find that the GAN forged images have obvious grid-like visual artifacts in the frequency spectrum. But for synthesized videos, these methods only confine to a single frame and pay little attention to the most discriminative part and temporal frequency clue among different frames. To take full advantage of the rich information in video sequences, this paper performs video forgery detection on both spatial and temporal frequency domains and proposes a Discrete Cosine Transform-based Forgery Clue Augmentation Network (FCAN-DCT) to achieve a more comprehensive spectrum spatial-temporal feature representation. FCAN-DCT totally consists of a backbone network and two branches: Compact Feature Extraction (CFE) module and Frequency Temporal Attention (FTA) module. We conduct thorough experimental assessments on three visible light (VIS) based datasets ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i.e</i> ., FaceForensics++, Celeb-DF (v2), Wild-Deepfake), and our self-built video forgery dataset DeepfakeNIR, which is the first video forgery dataset on near-infrared (NIR) modality. The experimental results demonstrate the effectiveness and robustness of our method for detecting forgery videos in both VIS and NIR scenarios.DeepfakeNIR and code are available at https://github.com/AEP-WYK/DeepfakeNIR.

“Land[s] beyond the White World”: (Re)imagining the International through Fiction

From the turn of the nineteenth century Black Internationalists collectively mapped and subverted the (white) International as a colonial legal imaginary, its sociopolitical, historical and geographical myths and those of “modern” International Law. While the most visible artefacts of this world(un)making project are conventional—namely, the Pan-African Conference and Congresses of 1900, 1919, 1921, 1923, 1927 and 1945—Black Internationalists also turned to fiction to both imagine and craft the worlds they could not live without and dismantle the worlds they could not live within (to paraphrase Ruha Benjamin). This article traces these poetic and political worldmaking and unmaking practices through the novels of Pauline Hopkins, WEB DuBois and Peter Abrahams, and maps their intersections with International Law. Doing so surfaces their “alternative clocks and maps of global racial resistance” (per Charles Mills), and suggests pathways to lands (still) “beyond the White World” and its calcified colonial legal imaginaries. It also reveals the worlds that International Law makes, and those it (still) makes impossible.

Influence of demographic factors on the occurrence of motion artefacts in HR-pQCT

SummaryThe study shows a high incidence of motion artefacts in a central European population and a significant increase of those artefacts with higher age. These findings may impact on the design and conduct of future in vivo HR-pQCT studies or at least help to estimate the potential number of drop outs due to unusable image quality.PurposeMotion artefacts in high-resolution peripheral quantitative computed tomography (HR-pQCT) are challenging, as they introduce error into the resulting measurement data. The aim of this study was to assess the general occurrence of motion artefacts in healthy distal radius and to evaluate the influence of demographic factors.MethodsThe retrospective study is based on 525 distal radius second-generation HR-pQCT scans of 95 patients. All stacks were evaluated by two experienced observers and graded according to the visual grading scale recommended by the manufacturer, ranging from grade 1 (no visible motion artefacts) to grade 5 (severe motion artefacts). Correlations between demographic factors and image quality were evaluated using a linear mixed effects model analysis.ResultsThe average visual grading was 2.7 (SD ± 0.7). Age and severity of motion artefacts significantly correlated (p = 0.026). Patients aged 65 years or above had an average image quality between grades 1 and 3 in 72.7% of cases, while patients younger than 65 had an average image quality between grades 1 and 3 in 91.9% of cases. Gender, smoking behaviour, and handedness had no significant influence on motion artefacts.ConclusionThis study showed a high incidence of motion artefacts in a representative central European population, but also a significant increase of motion artefacts with higher age. This could impact further study designs by planning for a sufficiently large and if possible a more selective study population to gain a representative amount of high-quality image data.

PortableSingle-Exposure Dual-Energy X-ray Detector for Improved Point-of-Care Diagnostic Imaging.

Dual-energy subtraction (DES) imaging is well known to reduce anatomical noise and enable material classification. The current approaches to DES imaging have trade-offs, such as motion artifacts, low sensitivity because of losses in a mid-filter, and lack of portability. Recently, a portable triple-layer flat-panel detector (FPD) was proposed for use in single-shot DES imaging that can provide improved sensitivity and removal of motion artifacts in a point-of-care setting. The purpose of this study is to evaluate the feasibility of such a detector. Various image quality metrics and clinical images are provided. An FDA-cleared single-exposure DES FPD consisting of three stacked sensors was used for all measurements. This detector generates three images per exposure: A digital radiography (DR) image, i.e., as would be produced with a conventional detector, and two DES images, bone and soft tissue. To evaluate DR image quality, detective quantum efficiency (DQE) and modulation transfer function were measured for multiple radiation quality beams. Digital radiography and DES images obtained from this FPD were evaluated in previously reported fixed and portable clinical studies. Digital radiography and DES images from case studies are presented for qualitative assessment. Modulation transfer function and DQE were measured across multiple radiation quality beams for the DR image. The DES images showed good tissue separation and uniformity with no visible motion or alignment artifacts. The DES images, when read in conjunction with the DR image, resulted in increased reader confidence and revealed abnormalities or details that were sometimes overlooked in the DR image. The proposed panel produces high-quality DR images as indicated by the DQE and modulation transfer function. The DES images have been shown to improve sensitivity in clinical applications and increase reader confidence. This detector can enable DES in portable or otherwise difficult applications, opening new doors for improved patient care.