Image Editing Software Research Articles

Anteroposterior relationship of the maxillary central incisors to the forehead in adult Chinese females

Objectives: The objectives of the study were to evaluate the anteroposterior (AP) relationship of the maxillary central incisors to the forehead in adult Chinese females. Material and Methods: The study sample consisted of 100 lateral smiling photographic images of adult Chinese females who were seeking orthodontic treatment (mean age = 24.0 + 6.5 years old). The study sample was compared to a control sample consisting of 100 images of adult Chinese females with harmonious facial profiles downloaded from the internet. The images were resized and rotated to the upright head position in an image editing software. Reference lines were constructed to evaluate forehead inclinations and AP positions of the maxillary central incisors. Results: In the control sample, 80% of the maxillary central incisors were positioned between the facial axis point of the forehead (FFA) and the glabella. About 13% were positioned posterior to the FFA point and 7% anterior to the glabella. In the study sample, 31% of the maxillary central incisors were positioned between the FFA point and glabella, 52% posterior to the FFA point, and 18% anterior to the glabella. There was a strong correlation between the position of the maxillary central incisors and forehead inclination in the control sample (r2 = 0.827). The difference in AP maxillary central incisor position relative to the forehead between the two groups was found to be statistically significant (P = 0.000). Conclusion: The forehead may be an important landmark when evaluating the AP position of maxillary incisors in adult Chinese female patients.

Digital Image Anti-Forensic Model Using Exponential Chaotic Biogeography-Based Optimization Algorithm

Abstract The innovation in visual imagery has led to massive growth in technologies, wherein digital cameras are obtainable at affordable prices. Thus, the digital images are easily captured and processed due to the internet connectivity. On the other hand, the development of strong image editing software facilitated the forgers to manipulate the accessible images with different tampering operations. Several techniques are devised for detecting the forgeries. Accordingly, this paper devises an anti-forensic model, namely Exponentially Weighted Moving Average-Chaotic Biography Based Optimization (E-CBBO) for joint photographic experts group (JPEG) compression to mitigate the forgeries occurred on the internet while transmitting data. The proposed E-CBBO is designed by integrating the properties of the exponentially weighted moving average (EWMA) with the chaotic biography-based optimization (CBBO). The suggested JPEG anti-forensic model is used to eliminate JPEG compression artifacts through the use of unique deblocking, smoothing with dither and decalibration operations. In addition, the goal is to balance visual quality and forensic undetectability when compressing the JPEG image. The fitness function is developed using the structural similarity index (SSIM), universal image quality index (UIQI) and histogram deviation parameters. With a maximum accuracy of 93.2%, a minimal MSE of 0.110, a maximum SSIM of 0.932 and a maximum UIQI of 0.890, the suggested E-CBBO beat existing approaches.

Psychometric and Perceptometric Comparisons of the Perspectives of Orthodontists, Oral and Maxillofacial Surgeons, and Laypeople of Different Ages and Sexes towards Beauty of Female Jaw Angles (Intergonial Widths and Gonial Heights) on Frontal and Three-Quarter Views.

The jaw angle plays an important role in facial beauty. Therefore, this study is aimed at comparatively determining the range of most attractive female intergonial widths and gonial heights on Perceptometric frontal-view and three-quarter-view images, from the perspective of orthodontists, oral maxillofacial (OMF) surgeons, and laypeople of different ages and sexes. This prospective multivariate Perceptometric study was performed on 4191 esthetic scores given by 127 individuals to 33 Perceptometric face images. Frontal view and three-quarter-view photographs of a normal young woman were modified by image editing software to create two Perceptometric sets, one for the 24 gradual changes of intergonial width on the frontal view, and the other for the 9 vertical changes of the jaw angle on the three-quarter view. An online questionnaire was designed including 24 frontal and 9 oblique view photographs. The questionnaires' internal consistencies were almost perfect. Enrolled were 127 raters, including 33 orthodontists, 32 OMF surgeons, and 62 laypeople. The esthetics of different images were compared across different professions, across different ages, and between the sexes using 2-way MANCOVA, ANCOVA, and Bonferroni; the zones of esthetic jaw angles and also the sensitivity of judges to Perceptometric anatomical changes were assessed using 2-way RM-ANCOVA and Bonferroni (α = 0.05, α = 0.0056, α = 0.0021, and β = 0.05). Orthodontists and surgeons gave the highest attractiveness scores to intergonial: interzygomatic ratio of 72.53%, while the best ratio was 74.45% for the laypeople. The range of beautiful intergonial is as follows: interzygomatic ratio was 72.53% to 86.03%. OMF surgeons and orthodontists gave the highest score to a gonial height of 4.5 mm above the mouth corner, while the laypeople gave the highest score to the gonial height of 4.5 mm below the mouth corner. The range of beautiful gonial height was from 4.5 mm above the mouth corner to 9 mm below the mouth corner. The education of observers may affect their perception of beauty; orthodontists tended differ from laypeople, overall and also specifically in the case of the highly attractive frontal images concerning the intergonial width changes. However, no such differences were detected between surgeons with orthodontists or laypeople. Although age did not affect the overall esthetic scores, it did affect the sensitivity of the judges to the anatomic changes. So did expertise, i.e., the expertise of judges affected their sensitivity to anatomical changes; orthodontists showed steeper slopes of esthetic preference alterations to anatomical changes, while laypeople had the gentlest slope of preference changes. Judges' sex did not affect either their overall esthetic preferences or their sensitivity to anatomic changes. Narrower female jaw angles and jaw angles that are vertically close to the level of the mouth corner may be unanimously more desirable. Thus, treatments aiming at widening the jaw angle of a woman or lowering it should be discouraged, at least in Persians. Orthodontists, but not surgeons, are more sensitive than laypeople to anatomic changes of the jaw angle. The judges' age can affect this perceptive sensitivity, but their sex cannot.

Age Estimation of an Individual by Pulp-Tooth Ratio measurement using radiographs - A forensic perspective

Objective: To estimate the age of a person by pulp/tooth ratio using digital intraoral periapical radiographs (IOPARs) of maxillary permanent lateral incisors.Material and Methods: The present study analyzed radiographs from randomly selected sample of 100 (50males and 50 females) individuals, within the age group of 16–65 years, further grouped as: Group A – 16 – 25 years of age, Group B – 26 – 35 years, Group C – 36 – 45 years, Group D – 46 – 55 years and Group E – 56 – 65 years of age. The pre-existing digital intraoral periapical radiographs(IOPARs) were collected from the archives of the institution. The images were saved as a high resolution JPEG files on a desktop computer and imported to the Adobe Photoshop CS7 image-editing software program for further analysis.Results: A statistically significant correlation between age and pulp/tooth ratio was observed and no significant difference between chronological and estimated ages was noted.Conclusion: An accurate age of a person can be estimated by pulp/tooth ratio using digital intraoral periapical radiographs(IOPARs) of maxillary permanent lateral incisors.

Kamuflaj - Yapay Zekâ Tarafindan Üretilen Güzellik İdealini Keşfetmek

The retouching and altering of portrait photographs used to require extreme professionalism from the artists, thus it was a privilege for photographers. However, thanks to modern image editing techniques, the process has become completely automated, to the point where it is no longer uncommon to find artificial intelligence-based software to perform portrait editing. The present research uses a self-report questionnaire to investigate the functioning of an image editing software that uses artificial intelligence to anatomically transform portrait photos beautiful at one push of a button. Participants are asked to give their opinions on pairs of photographs, one of which is an original, unedited picture, meanwhile the other is its idealised version created by the artificial intelligence-based software. The results of the research showed that the viewer's perception of automatic image retouching was not influenced by the gender or age of the model, nor by the age of the recipients. However, the participants’ first judgement of the models’ beauty influenced their attitude towards both the model and the photograph. In most cases, the photo version that participants considered more beautiful was the one they would have preferred to see both in their own social media news feed and on the cover of a magazine, furthermore, more people would have preferred to meet the model based on the photo they thought to be beautiful. The research also reveals that viewers tend to associate negative emotions with image manipulation. Although the enhancement of photographs is a phenomenon that media users regularly encounter, not much research have been conducted on the ideal of beauty in relation to AI-technology. The current study aims to contribute to filling the aforementioned research gap.

CNN-based first quantization estimation of double compressed JPEG images

Multiple JPEG compressions leave artifacts in digital images: residual traces that could be exploited in forensics investigations to recover information about the device employed for acquisition or image editing software. In this paper, a novel First Quantization Estimation (FQE) algorithm based on convolutional neural networks (CNNs) is proposed. In particular, a solution based on an ensemble of CNNs was developed in conjunction with specific regularization strategies exploiting assumptions about neighboring element values of the quantization matrix to be inferred. Mostly designed to work in the aligned case, the solution was tested in challenging scenarios involving different input patch sizes, quantization matrices (both standard and custom) and datasets (i.e., RAISE and UCID collections). Comparisons with state-of-the-art solutions confirmed the effectiveness of the presented solution demonstrating for the first time to cover the widest combinations of parameters of double JPEG compressions.

Interactive image manipulation using morphological trees and spline-based skeletons

The ability to edit an image using intuitive commands and primitives is a desired feature for any image editing software. In this paper, we combine recent results in medial axes with the well-established morphological tree representations to develop an interactive image editing tool that provides global and local image manipulation using high-level primitives. We propose a new way to render interactive morphological trees using icicle plots and introduce different ways of manipulating spline-based medial axis transforms for grayscale and colored image editing. Different applications of the tool, such as watermark removal, image deformation, dataset augmentation for machine learning, artistic illumination manipulation, image rearrangement, and clothing design, are described and showcased on examples.

Upaya Peningkatan Kemampuan Pengembangan Media Bagi Calon Konselor Melalui Pelatihan Pembuatan Poster Infografis dan Sinemaedukasi

The use of innovative BK Media during the COVID-19 pandemic is a challenge that must be faced by the guidance and counseling profession in Indonesia. Students as agents of change are required to be more adaptive in contributing media solutions that are in accordance with the current characteristics of students. However, the majority of students are still not familiar with the use of image and video editing software using a laptop/PC. Other data found is the condition of the use of BK media still using smartphones. Students still experience internet network problems, lack of knowledge of photo or video editing that can be used in providing counseling services. The photo or video editing applications on smartphones that are used include pixellap, snapseet, canva, tiktok, and kinemaster are only used for self-existence not to be used to create BK service content. Based on these problems, it is necessary to hold training on making infographic posters and educational cinema for prospective counselors so that they are able to provide maximum service to students. The methods used include: (1) socialization, (2) training practice, (3) monitoring & evaluation. The results of the training participants' service activities were able to increase the competence of participants in developing infographic poster media and educational cinema.
 The use of innovative BK Media during the COVID-19 pandemic is a challenge that must be faced by the guidance and counseling profession in Indonesia. Students as agents of change are required to be more adaptive in contributing media solutions that are in accordance with the current characteristics of students. However, the majority of students are still not familiar with the use of image and video editing software using a laptop/PC. Other data found is the condition of the use of BK media still using smartphones. Students still experience internet network problems, lack of knowledge of photo or video editing that can be used in providing counseling services. The photo or video editing applications on smartphones that are used include pixellap, snapseet, canva, tiktok, and kinemaster are only used for self-existence not to be used to create BK service content. Based on these problems, it is necessary to hold training on making infographic posters and educational cinema for prospective counselors so that they are able to provide maximum service to students. The methods used include: (1) socialization, (2) training practice, (3) monitoring & evaluation. The results of the training participants' service activities were able to increase the competence of participants in developing infographic poster media and educational cinema.

Interactive Medical Image Labeling Tool to Construct a Robust Convolutional Neural Network Training Data Set: Development and Validation Study.

BackgroundSkin ulcers are an important cause of morbidity and mortality everywhere in the world and occur due to several causes, including diabetes mellitus, peripheral neuropathy, immobility, pressure, arteriosclerosis, infections, and venous insufficiency. Ulcers are lesions that fail to undergo an orderly healing process and produce functional and anatomical integrity in the expected time. In most cases, the methods of analysis used nowadays are rudimentary, which leads to errors and the use of invasive and uncomfortable techniques on patients. There are many studies that use a convolutional neural network to classify the different tissues in a wound. To obtain good results, the network must be trained with a correctly labeled data set by an expert in wound assessment. Typically, it is difficult to label pixel by pixel using a professional photo editor software, as this requires extensive time and effort from a health professional.ObjectiveThe aim of this paper is to implement a new, fast, and accurate method of labeling wound samples for training a neural network to classify different tissues.MethodsWe developed a support tool and evaluated its accuracy and reliability. We also compared the support tool classification with a digital gold standard (labeling the data with an image editing software).ResultsThe obtained comparison between the gold standard and the proposed method was 0.9789 for background, 0.9842 for intact skin, 0.8426 for granulation tissue, 0.9309 for slough, and 0.9871 for necrotic. The obtained speed on average was 2.6, compared to that of an advanced image editing user.ConclusionsThis method increases tagging speed on average compared to an advanced image editing user. This increase is greater with untrained users. The samples obtained with the new system are indistinguishable from the samples made with the gold standard.

Investigation of electrical tree stress using colour techniques

Treeing is one of the severe problems which cause the deterioration and breakdown of electrical insulation materials. Different approaches have been used to characterise this phenomenon, from experiments to analysis. The results of both methods were criticised for their dependence on the assumptions and applied conditions. In this work, the role of colours in understanding the characteristics of electrical treeing in composite insulation was employed. The relationship between the induced strain, associated with the electrical tree, and the change of colour parameters, represented by hue, saturation, and value indicators, was presented. The images were created by relative retardation orthogonal components of the polarised white light used to illuminate the specimens in the microscope. An image-editing software was used to analyse the tree colours, whereas the MATLAB program was written to determine the colour mapping of examined image. The variation of each colour parameter was linked with the tree distribution. It was then introduced as an indicator of stress at each examined point. Therefore, the contribution of the present paper is summarised as an introduction of a new tool to characterise stress in insulation materials by converting a treed image into a numerical array of data without the need to follow a complex mathematical procedure. Finally, this paper can better assess the treeing phenomenon by correlating the direction of tree growth to the rate of change for each colour parameter in that direction.

A Survey of Estonian Video Game Industry Needs

Designing a video game design and development curriculum in higher education is a challenging task. Information about the needs of the respective industry certainly helps. In this paper, we have surveyed Estonian video game development companies to determine their current needs when it comes to knowledge areas, software tools, languages, abilities, and contextual fluencies. The survey is based on a similar survey conducted a decade ago and this paper compares the current results with those found earlier.
 
 Compared to the prior survey, we have found significant differences in the rated importance of knowledge in optimization, version control technologies, the C, C++, and C# programming languages, and the time management ability for video game development companies looking to hire university graduates. We have also extended the previous survey to include a contemporary selection of game design and development tools. Based on that, we have determined a strong need for graduates with skills specifically in Unity and Unreal Engine game engines, Photoshop raster image editing software, and Git version control software.
 
 While most of our results are largely consistent with the previous research, our added survey items like visual languages and game engines bring the results to the modern context. This allows curriculum designers and managers to see the differences regarding the landscape of industry needs for their graduates and thus make more informed decisions in their work.

An assessment of perception of attractive profiles after altering tooth inclination and mandibular anterior repositioning on the photographs

Facial profile disharmonies in the anteroposterior (AP) position of the mandible is among the most frequent reasons that patients seek orthodontic treatment. Although previous studies of profile esthetics have mainly focused on the position or the inclination of the maxillary incisors in profile views with normal mandibular positions, to our knowledge, no studies have yet evaluated the esthetic effects of maxillary incisor inclination in relation to different mandibular positions in male and female individuals for smile profile. The objective of this study is to evaluate the significant relationship between preferred tooth position in relation to different mandibular positions in male and female subjects’ smile profiles. A right lateral profile and frontal view photograph with the patient in a natural head position. Smile parameters will be evaluated and recorded. These smiling photographs will be altered using a commercially available image editing software program (Adobe Photoshop CS, version 8.0; Adobe Systems). The number of photographs that will be available after alteration and given to the judges to rate the attractiveness of each. The data thus obtained will be put to significant statistical analysis and the results thus obtained will be carried out to achieve the aim and objective of the study.

CERVI: collaborative editing of raster and vector images

Various web-based image-editing tools and web-based collaborative tools exist in isolation. Research focusing to bridge the gap between these two domains is sparse. We respond to the above and develop prototype groupware for real-time collaborative editing of raster and vector images in a web browser. To better understand the requirements, we conduct a preliminary user study and establish communication and synchronization as key elements. The existing groupware for text documents or presentations handles the above through well-established techniques. However, those cannot be extended as it is for raster or vector graphics manipulation. To this end, we develop a document model that is maintained by a server and is delivered and synchronized to multiple clients. Our prototypical implementation is based on a scalable client–server architecture: using WebGL for interactive browser-based rendering and WebSocket connections to maintain synchronization. We evaluate our work qualitatively through a post-deployment user study for three different scenarios. For quantitative evaluation, we perform a thorough performance measure on both client and server side, thereby identifying design recommendations for future concurrent image-editing software(s).

Feature compensation network based on non-uniform quantization of channels for digital image global manipulation forensics

With the popularity of image editing software and technology, it has become very easy to manipulate an image, which has challenged the authenticity and security of digital images. Digital Image Manipulation Forensics (DIMF) has become an important research direction to confirm the authenticity of images, detect the manipulations that images have undergone, and avoid the misuse of image editing. Currently, most DIMF targets the detection of multiple image manipulations with fixed parameters. However, we consider detecting image manipulation in a more complex scenario where the parameters are chosen to be arbitrary. In this paper, we propose a Feature Compensation Network (FCNet) based on non-uniform quantization of channels. Briefly, it contains three important parts: (1) feature enhancement block, which extracts and enhances valid information from low-level features and eliminates semantic gaps between them and the high-level features. (2) sensitivity estimation block, which obtains the importance coefficients of each channel and guides the non-uniform quantization of low-level features. (3) adaptive average pooling, which keeps the resolution of low-level features and high-level features consistent and ensures that subsequent feature fusion is appropriate. Through extensive experiments, we have demonstrated the effectiveness of the proposed method in detecting multiple image manipulations.

A WhatsApp-based introductory histopathology and cytology course for first-year pathology postgraduate students.

Background The first-year pathology postgraduates can take a long time to learn the basic skills of microscopy, which can become a barrier to learning. Methods A WhatsApp group comprising all 14 postgraduate first-year students with one senior resident and one faculty as group administrators was formed. For the study, 50 routine cases (35 histopathology cases and 15 cytopathology cases) captured by using a smartphone camera and annotated using image-editing software, along with relevant descriptions and weblinks, were sent to the WhatsApp group. A pre- and post-test comprising 15 cases each was conducted and the results were compared by non-parametric Wilcoxon rank test. A feedback form about the effectiveness of this method of learning was circulated at the end of the study. Results The results of the post-test were better than the pre-test by the non-parametric Wilcoxon rank test. Both the active participants (>10 posts) and passive participants of the study group showed statistically significant improvement in the scores and posted a similar number of intellectually thought-provoking posts. The students' responses to the questionnaire also indicated that they liked the new method of instruction. Conclusion This pilot study shows that smartphone-based learning methods can supplant the traditional methods of teaching for pathology postgraduates.

Near-duplicate image detection based on wavelet decomposition with modified deep learning model

We aim to address the near-duplicate image (NDI) detection problem with a deep learning network. With the advancement of digital acquisition devices and easy-to-use image editing software, NDI forgery is ubiquitous nowadays. This rising problem demands robust detection algorithms that can efficiently prevent the NDI forgery and its distribution. We present a modified deep learning model to detect NDI forensics attacks based on extracted wavelet Haar features. Unlike standard deep learning models, a wavelet decomposed preprocessing layer is used before the deep learning networks, and a support vector machine classifier is employed in the classification stage of a modified deep learning model. The model is tested on distinctly available image databases. The experimental results show that the proposed model more effectively detect the NDIs. In addition, the comparison result shows that the modified model outperforms the other approaches significantly.

A Novel Technique of Mixed Reality Systems in the Treatment of Spinal Cord Tumors

Several reports have compared spinal cord tumor removal techniques but none have clearly described the appropriate site and level of indication for laminectomy or laminoplasty. The approach method for tumor removal depends on the type and localization of the tumor and the surgeon's skill. Therefore, a system that can suggest various surgical techniques is useful for spinal cord tumor surgery. The mixed reality system introduced in this paper is an excellent system that can suggest various surgical procedures. Using this system for spinal cord tumor removal, we made the surgery less invasive; therefore, we introduced this system and demonstrated its usefulness. Stereoscopic data of the patients with spinal cord tumors were obtained from preoperative myelogram-CT data. Stereoscopic laminectomy models including tumors were created using Blender, a free three-dimensional (3D) image editing software. We observed these data as 3D object images using a head-mounted display (HMD). This HMD is commercially available and relatively inexpensive. The surgical procedure is determined by considering those 3D images, radiological diagnosis, and the skill of surgeons. Intraoperative confirmation of the laminectomy site could be performed using the HMD. The 3D visualization of pathological conditions resulted in correct preoperative surgical planning and less invasive surgery in all five cases. Stereoscopic images using HMDs allow us a more intuitive understanding of the positional relationship between the tumor and spinal structure. These 3D object images can bring us more accurate preoperative planning and proper determination of surgical methods.

Mobile-device-based two-dimensional measurement for estimating the embryo and endosperm areas of brown rice.

The rice kernel inside a hull is composed of the embryo and endosperm. The embryo or germ of the rice seed will grow and become the shoot and the root parts of a seedling, while the endosperm is an important nutrient source for the embryo in the early stages. Hence, the health of seedlings depends particularly on the sizes of the embryo and endosperm. In this work, we propose and experimentally demonstrate how the embryo and endosperm areas of brown rice can simply be determined. Our key idea is based on the utilization of a smart mobile device equipped with our specifically designed lens module arranged in a simple cross-polarization imaging configuration for acquiring a rice grain image upon the illumination of a white light source and then spatially analyzing the sizes of embryo and endosperm areas. The prototype shows promising results in identifying the sizes of the embryo and endosperm within 2 s per seed with a measurement error of <9% compared with the use of off-the-shelf image editing software. In addition, the prototype is in a small package of 20×32.5×6.5cm3 with 4 kg weight, thus showing high potential to perform in the real scenario.

Effect of abutment neck taper and cement types on the amount of remnant cement in cement-retained implant restorations: an in vitro study.

PURPOSEThe present study aims to analyze the effect of abutment neck taper and types of cement on the amount of undetected remnant cement of cement-retained implant prostheses.MATERIALS AND METHODSThree neck taper angles (53°, 65°, 77°) and three types of cement (RMGI: resin-modified glass ionomer, ZPC: zinc phosphate cement, ZOE: zinc oxide eugenol cement) were used. For each group, the surface percentage was measured using digital image and graphic editing software. The weight of before and after removing remnant cement from the abutment-crown assembly was measured using an electronic scale. Two-way ANOVA and Duncan & Scheffe’s test were used to compare the calculated surface percentage and weight of remnant cement (α = .05).RESULTSThere were significant differences in remnant cement surface percentage and weight according to neck taper angles (P < .05). However, there were no significant differences in remnant cement surface percentage and weight on types of cement. No interaction was found between neck taper angles and types of luting cement (P > .05). The wide abutment with a small neck taper angle showed the most significant amount of remnant cement. And the types of luting cement did not influence the amount of residual cement.CONCLUSIONTo remove excess cement better, the emergence profile of the crown should be straight to the neck taper of the abutment in cement-retained implant restoration.

Robust Image Forgery Detection Against Transmission Over Online Social Networks

The increasing abuse of image editing software causes the authenticity of digital images questionable. Meanwhile, the widespread availability of online social networks (OSNs) makes them the dominant channels for transmitting forged images to report fake news, propagate rumors, etc. Unfortunately, various lossy operations, e.g., compression and resizing, adopted by OSNs impose great challenges for implementing the robust image forgery detection. To fight against the OSN-shared forgeries, in this work, a novel robust training scheme is proposed. Firstly, we design a baseline detector, which won the top ranking in a recent certificate forgery detection competition. Then we conduct a thorough analysis of the noise introduced by OSNs, and decouple it into two parts, i.e., <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">predictable noise</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">unseen noise</i> , which are modelled separately. The former simulates the noise introduced by the disclosed (known) operations of OSNs, while the latter is designed to not only complete the previous one, but also take into account the defects of the detector itself. We further incorporate the modelled noise into a robust training framework, significantly improving the robustness of the image forgery detector. Extensive experimental results are presented to validate the superiority of the proposed scheme compared with several state-of-the-art competitors, especially in the scenarios of detecting OSN-transmitted forgeries. Finally, to promote the future development of the image forgery detection, we build a public forgeries dataset based on four existing datasets through the uploading and downloading of four most popular OSNs. The data and code of this work are available at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/HighwayWu/ImageForensicsOSN</uri> .