Photo Quality Research Articles

Teledermatology: Canadian dermatologists' practice patterns, perceived challenges and future recommendations.

The use of teledermatology has increased significantly in recent years. The objective of this study was to determine Canadian dermatologists' and dermatology residents' perspectives on teledermatology. An online survey was created to determine participants' teledermatology practice patterns and their perception of the challenges, education, training, and research in teledermatology. The survey was distributed through the Canadian Dermatology Association and by administrative staff at Canadian Dermatology departments. There were 33 respondents: 66.7% of respondents started using teledermatology during the COVID-19 pandemic, and 93.8% reported that teledermatology accounted for 0-25% of their practice. Convenience, access, and safety were identified as the primary advantages of teledermatology. Teledermatology was mainly utilized for medication monitoring or refills and to assess, manage, or follow up on dermatitis, other chronic inflammatory conditions, and pre-diagnosed dermatologic conditions. Poor photo quality (32.3%) and the inability to conduct physical examinations or accurately diagnose conditions (74.2%) were reported as significant challenges. Respondents recommended education on the medicolegal considerations of teledermatology and research on how teledermatology compares to in-person consultations. Overall, teledermatology offers convenience, access, and improved safety for patients and healthcare professionals. However, addressing challenges related to physical examinations, accurate diagnoses, and photo quality is essential for optimal care delivery.

Quality and Consistency of Rhinoplasty Photos on Social Media: Prevalence of Potentially Misleading Before-and-After Images.

Introduction: There is significant variability in how rhinoplasty results are presented on social media. This study aims to evaluate the quality and consistency of preoperative and postoperative rhinoplasty photos on the social media platform Instagram. Methods: Instagram was queried on April 4, 2024 using the search term #rhinoplastybeforeandafter. Posts meeting our inclusion criteria were analyzed for inconsistencies in background, makeup, use of personal photo, and variations in face size between preoperative and postoperative images. Account demographics and time since surgery were also noted. Results: A total of 888 sets of before-and-after rhinoplasty photos were included, with nearly all (n = 882) posted by surgeon accounts. Of the posts analyzed, 23.7% had a ≥10% face size discrepancy, and 5.1% had a ≥10% face rotation discrepancy. Only 35.7% of posts were considered "high quality," with no significant photo discrepancies between postop and preop images and with postoperative time interval reported. Conclusion: Instagram before-and-after rhinoplasty photos evaluated in this study exhibited significant heterogeneity in quality and consistency regarding image background, image source, face size, face rotation, and brightness. Surgeons should prioritize consistency between preoperative and postoperative photos when sharing their results to minimize the potential for misleading the public.

Enhancing digital marketing of MSMEs through comprehensive photography training in Hendrosari Village, Gresik

MSMEs in Hendrosari Village have been struggling with digital marketing due to a lack of expertise in creating compelling visual content, which has led to poor online visibility and stagnating sales. Additionally, these businesses face challenges in keeping up with ever-evolving digital trends, limited access to affordable digital tools, and insufficient training opportunities, further hampering their ability to compete in a growing online marketplace. An extensive photography training program was launched, aimed at equipping 15 MSMEs in Hendrosari Village, the target groups of this service initiative, with essential skills in lighting, composition, and post-processing techniques. This program aims to enhance their visual content creation capabilities, helping them improve their online presence and market competitiveness. The program combined theoretical lessons with hands-on practice, allowing participants to immediately apply what they learned. The community service team conducted observations and interviews before and after the training to assess changes in product photo quality and the impact on sales. The average photo quality assessment score increased from 3 to 4.5. In addition, some participants reported a 15 percent increase in income after learning new photography techniques. Based on the evaluation process, it shows that the photography training has strong potential to improve the competitiveness of MSMEs in Hendrosari village, which can inspire similar programs in other areas.

Contemporary sightings of eastern North Pacific right whales, 2006 to 2023

North Pacific right whales Eubalaena japonica once numbered in the 10s of 1000s. Today, the eastern population is one of the most endangered large whale stocks in the world. A lack of dedicated surveys and a population in the 10s of animals have resulted in considerable knowledge gaps. Here, we collate all contemporary sightings of eastern North Pacific right whales (ENPRWs) from 2006 through 2023 to investigate possible migratory routes and elucidate important habitat. Sightings in the northern Bering Sea, Gulf of Alaska, and along the west coast of North America have increased. Of the 99 sightings recorded between 2006 and 2023, 58 occurred during the few dedicated ENPRW surveys with simultaneous aerial and vessel platforms. All animals sighted were non-calves. Opportunistic sightings along the California coast were only reported in spring months (February-May). While this timing would coincide with a northward migration from lower latitudes, poor photo quality prevented matching of these animals, making it difficult to determine migratory patterns. Furthermore, there have been no sightings in Hawai’i or Mexico since 1996, and no sightings in the eastern North Pacific off the continental shelf since the 1970s. To date, only 2 animals have been photographically matched from Alaska to more southerly latitudes, and there have been no photographic matches between the Bering Sea and the Gulf of Alaska. Feeding has been observed throughout their range, suggesting right whales opportunistically feed whenever possible. While their primary migratory destinations remain unknown, these recent sightings provide insight into important ENPRW habitat in Alaska.

Inovasi Digital: Implementasi Mini Photobox sebagai Alat Pemasaran Kreatif untuk UMKM

In the digital era, consumers increasingly rely on the internet to buy products or search for information. Therefore, MSME that do not utilize digital technology may miss the opportunity to expand their markets and increase their competitiveness. One of the main challenges faced by MSMEs is the quality of product photos. A mini photobox is a device or tool specifically designed to help MSME (Micro, Small and Medium Enterprises) take photos of their products with high quality results. By using a mini photobox, product photos become brighter, the details clearer, and the colors more accurate. Mini photoboxes help help products stand out more in photos and make them easier to edit or crop for marketing purposes.

To Be or Not To Be (an Ad): Advertising Students’ Understanding of Instagram In-Feed Native Advertising

This study explores advertising students’ recognition and comprehension of in-feed native advertising on Instagram, a leading platform for social media native advertising. Data were collected from 303 U.S. college advertising students. It examines the impact of two key aspects of Instagram in-feed native advertising—an additional label (“Shop Now”) and ad-context congruency—through both quantitative and qualitative data. Findings reveal a significant deficit in native ad recognition among advertising students. Qualitative analysis identified four themes constituting Instagram in-feed advertising for advertising students: professional photo quality, branded products, persuasive elements, and excessive hashtags. Quantitative results indicate that high ad-context congruency led to higher perceptions of nativeness and more positive emotions, but did not significantly influence ad attitudes or negative emotions. The study underscores practical and theoretical implications for advertising educators and scholars, emphasizing the need for enhanced digital advertising literacy and discussing broader implications for advertising pedagogy and practices.

Dark channel enhancement research on human ear images based on smartphone photography

SummaryThe experienced doctors can alleviate symptoms such as headaches, insomnia, anxiety, and depression by observing the patient's ears and massaging specific areas. In order to achieve remote ear condition diagnosis and guide patients to massage their ears independently through the network, patients can use their mobile phones to take and send photos of ears to doctors. However, due to significant differences in the clarity of photos taken by different mobile phones, as well as susceptibility to haze, lighting, jitter, and low pixels, the quality of photos is poor, which affects the accuracy of remote diagnosis by doctors. This study adopted an image preprocessing method based on He Kaiming's dark channel prior dehazing method to enhance the original ear images captured by mobile phones. The dehazing algorithm was used to remove the haze effect of the ear images, improving image quality and contrast, making the wrinkles, protrusions, pigmentation and other areas of the ear more obvious. The experiment has showed the comparison by adjusting weight from 15% to 95% between two methods—dark channel prior method and the dark channel prior method after preprocessing, which has proven the effectiveness of dehazing method in human ear images taken by mobile phones. The image quality after preprocessing and dehazing is widely recognized and accepted by doctors at hospitals in Hangzhou, China.

Improving the Quality and Performance of Underwater Image Classification using the CLAHE-CNN Method

Research on underwater image analysis is critical because of challenges such as color distortion, low contrast, and noise in images. Various methods have been proposed to overcome this problem. To improve the quality and classification of underwater photos, this study aims to ensure improved performance using Contrast Limited Adaptive Histogram Equalization (CLAHE) and Convolutional Neural Networks (CNN) on underwater image datasets. The dataset consists of 500 JPG image with RGB channel and dimensions of 512 × 512 collected from online sources. There are classifications of sharks, eels, dolphins, sea rays, and whales in the underwater imagery dataset. The experiment was conducted using Python programming language on a computer that had 24GB RAM, Intel® Core™ i7-10510U CPU and hardware properties of Intel® HD Graphics graphics card. The results of this study show how CLAHE improved the CNN classification of underwater imagery by 0.91% in training data, 0.45% in validation data, and 2.02% in test data.

Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling

Deep neural network models for image segmentation can be a powerful tool for the automation of motor claims handling processes in the insurance industry. A crucial aspect is the reliability of the model outputs when facing adverse conditions, such as low quality photos taken by claimants to document damages. We explore the use of a meta-classification model to empirically assess the precision of segments predicted by a model trained for the semantic segmentation of car body parts. Different sets of features correlated with the quality of a segment are compared, and an AUROC score of 0.915 is achieved for distinguishing between high- and low-quality segments. By removing low-quality segments, the average mIoU\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$m{\ extit{IoU}} $$\\end{document} of the segmentation output is improved by 16 percentage points and the number of wrongly predicted segments is reduced by 77%.

UNCOVERING THE POWER OF WEBSITE DESIGN AND PRODUCT PHOTOS: HOW FLASH SALES PROGRAMS SHAPE PURCHASING DECISIONS

A study was conducted to investigate how website design and product photos impact purchasing decisions, with a focus on the role of flash sale programs. The research targeted students in Surabaya who have made purchases on the Shopee e-commerce platform, with a sample size of 96 individuals. The data collected from the respondents' questionnaires were analyzed using SEM SmartPLS-3. The findings of the study revealed that flash sale programs, product photos, and website design play a crucial role in influencing consumer decisions. While flash sale programs can generate consumer interest, it is important to manage them wisely to avoid any negative impact on consumer perception. On the other hand, high-quality product photos and a well-designed website can enhance consumer engagement in the purchasing process. The practical implication of this research is that companies should prioritize flash sale programs, product photo quality, website design, and other marketing factors to influence positive purchasing decisions, develop effective marketing strategies, meet consumer needs, and strengthen their brand image. The main contribution of this study lies in the inclusion of the moderating role of flash sale programs in the integrated model of e-commerce marketing. Therefore, this research provides a deeper understanding of the factors that influence consumer purchasing decisions in the e-commerce context, while also serving as a foundation for companies to design more effective and responsive marketing strategies.

Mengulik Longevity Jasa Fotografi Di Tengah Gempuran Smartphone

Photography is one of the new avenues of service and business, some have made a hobby of photography a lucrative profession. They should be prepared to compete with other companies of the same kind by creating a good image of the consumer, providing quality of service and increasing innovation and creativity in order to create different photo concepts and attract consumers. The strategy became the main idea of Hero Photography to develop a business in photographic services. Hero Photography tried to adapt and compensate by coming up with a strategy that would attract consumers.These research methods use descriptive qualitative, with the aim of providing an idea and an explanation as to how startegi services Hero Photography in the interest of consumers. The study uses primary data sources as data obtained from informers and secondary data from archive or documents, journals, and various archival files of Hero Photography. Data collection techniques through observation, interview and documentary. At verifying data data using triangulation of methods and source triangulation using data analysis techniques of reposing data, presenting data, and summarizing data.Research has shown that the concept of sustainable excellence is influenced by the quality of the product, in this case, a superior photograph of adequate human resources capable with an obvious market target. The performance of the sale of Hero Photography was influenced by a marketing strategy with a concept of 4P (Price, Place. Product, Product), among other things is photographic quality, aesthetic quality good photo quality in terms of aesthetically pleasing clients who are less likely to use hero photography services. Strategic places like the old city become the attraction of visitors to capture the moment. Promotion became a strategy by using social media asa tool for promotion and offering online photo services by viewing affordable prices as one of the preferred customers to use the Hero Photography photo service.

Traffic Sign Recognition using CNN (Convolutional Neural Network)

Effective recognition of traffic signs systems are essential for traffic management since road safety is a major problem. In this work, we introduce a unique method for computer vision and deep learning-based real-time traffic sign identification and categorization. Convolutional neural networks (CNNs), trained on an extensive collection of photographs of traffic signs, are the tool we use in our approach. We improve the quality of the input photos and extract relevant features by preprocessing them, which includes grayscale conversion and normalization. After that, the CNN model examines these characteristics to precisely determine the kind of traffic sign that is shown. To further improve classification accuracy, we also use bounding box localization to correctly outline and extract indicators. The effectiveness of our system is shown by experimental findings, which show that it can reliably detect traffic signs in a variety of environmental conditions. This study provides a reliable and effective method for identifying traffic signs, promoting road safety

Pemanfaatan Album Sejarah Sebagai Sumber Belajar Sejarah di SMA

History learning will be more meaningful and effective if you use visual media as a learning resource. The problem of this research is how to use history albums as a source of learning history in high school. This study aims to find out about (1) The use of historical albums as a learning resource in history learning. (2) Responses of teachers and learners when using history albums in history learning. (3) Obstacles faced by teachers in utilizing historical albums in learning activities. The research conducted at SMA Negeri 1 Pontang used qualitative descriptive research methods, observation data collection techniques, informant interviews, namely students who participated in history learning with historical album media and subject teachers who used historical album media. The results showed that (1) The implementation of history learning with historical album media at SMA Negeri 1 Pontang has been put to good use by history teachers. (2) The use of historical albums helps students understand learning material, develops students' interest in learning with history subjects, and helps students in building historical imagination. (3) In the use of history albums as learning resources, there are obstacles felt by teachers when teaching, namely the quality of photos when converted from printed to digital form and the state of school infrastructure.

An Exploration of Dutch Dermatologists' Experience and Satisfaction With Teledermatology: Sociotechnical and Complex Adaptive System Perspective.

Despite the global upscale of teledermatology during the COVID-19 pandemic, persistent barriers, such as the poor anamnesis and photo quality, hinder its effective use in practice. Understanding Dutch dermatologists' experiences and satisfaction with using the teledermatology system in the Dutch health care system is needed. A holistic evaluation may provide valuable insight to understand how barriers interrelate which is deemed necessary for the innovation of teledermatology in practice. Guided by a complex adaptive system perspective, this study aims to understand Dutch dermatologists' experience and satisfaction with their training, support communication, interaction, and usage of a teledermatology platform of a Dutch digital hospital during the COVID-19 pandemic, uncovering insights to improve teledermatology services for the future. A web-based questionnaire was sent in December 2021 to Dutch dermatologists who (1) had an active teledermatology platform account, and (2) responded to a teledermatology consultation between October 1, 2019, and September 30, 2021. The questionnaire consisted of the validated Store-and-Forward Telemedicine Service User-satisfaction Questionnaire (SAF-TSUQ) questionnaire, and new questions regarding; demographics of teledermatologists, the use of teledermatology during the COVID-19 pandemic, the performance of teledermatology by general practitioners (GP), and the role of dermatologists in the teledermatology process. The open-ended questions were analyzed by a grounded theory approach guided by a sociotechnical model and complemented by a complex adaptive system perspective. A panel discussion with 3 dermatologists was performed to provide additional insight into the responses to the questionnaire. We obtained responses from 25 out of the 249 (10%) invited dermatologists. Overall, dermatologists had a positive experience with teledermatology. Interestingly, teledermatology use frequency remained unaffected by the COVID-19 pandemic. However, the insufficient quality and incompleteness of the clinical content (photos and anamneses information) of the teledermatology consultation impacted the efficiency of the teledermatology workflow. Dermatologists expressed the need for improvement to avoid time-consuming processes or physical referrals. The panel discussion enriched and confirmed the responses, suggesting solutions like mandatory fields for the GPs for a complete anamnesis. Dutch Dermatologists view teledermatology as a valuable tool to provide access to dermatology care. However, improvements regarding the quality and completeness of the provided clinical content are necessary for the effectiveness and efficiency of the complex teledermatology system in Dutch health care. This could increase both the dermatologists' satisfaction and the quality of teledermatology services. Managing trade-offs, such as time investments versus image quality, is crucial for teledermatology implementation and should be assessed from a complexity perspective to understand trade-offs and prevent unintended consequences.

Investigation on the Application of Spring Plants and Landscape Evaluation in Changsha Area

With the slogan of "Beautiful China" put forward by the 18th National Congress of the Communist Party of China, more and more people now choose to take wedding photos outdoors, hold weddings outdoors, and celebrate wedding anniversaries outdoors. In addition to having good quality photos, taking wedding photos outdoors requires In addition to the framing building, the plant landscape created by plants that matches the atmosphere of the wedding garden is also indispensable. However, most wedding gardens in China almost rely on architecture to create a theme atmosphere, while ignoring the role of the landscape created by plants in the theme of the entire wedding garden. This article takes Liuyang River Wedding Cultural Park in Changsha City as an example, analyzes the types and ecological characteristics of garden plants in Liuyang River Wedding Garden, and summarizes the experience in the growth, management and garden application of various garden plants. Then, on this basis, we analyze and summarize the existing problems in the application of garden plants in Liuyang River Wedding Cultural Garden, and point out corresponding measures and approaches to provide guidance for similar types of landscaping.

Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment

Aesthetic attributes are crucial for aesthetics because they explicitly present some photo quality cues that a human expert might use to evaluate a photo's aesthetic quality. However, annotating aesthetic attributes is a time-consuming, costly, and error-prone task, which leads to the issue that photos available are partially annotated with attributes. To alleviate this issue, we propose a novel semi-supervised adversarial learning method for photo aesthetic assessment from partially attribute-annotated photos, which can greatly reduce the reliance on manual attribute annotation. Specifically, the proposed method consists of a score-attributes generator R, a photo generator G, and a discriminator D. The score-attributes generator learns the aesthetic score and attributes simultaneously to capture their dependencies and construct better feature representations. The photo generator reconstructs the photo by feeding aesthetic attributes, score, and informative feature representation. A discriminator is used to force the convergence of the features-attributes-score tuples generated from the score-attributes generator, the photo generator, and the ground-truth distribution in labeled data for training data. The proposed method significantly outperforms the state of the art, increasing the Spearman rank-order correlation coefficient (SRCC) from the existing best reported of 0.726 to 0.761 on Aesthetic and attributes database and 0.756 to 0.774 on Aesthetic visual analysis database, respectively.

Region-Aware Portrait Retouching With Sparse Interactive Guidance

Portrait retouching aims to improve the aesthetic quality of input portrait photos and especially requires human-region priority. The deep learning-based methods largely elevate the retouching efficiency and provide promising retouched results. However, existing portrait retouching methods focus on automatic retouching, which treats all human-regions equally and ignores users' preferences for specific individuals, thus suffering from limited flexibility in interactive scenarios. In this work, we emphasize the importance of users' intents and explore the interactive portrait retouching task. Specifically, we propose a region-aware retouching framework with two branches: an automatic branch and an interactive branch. The automatic branch involves an encoding-decoding process, which searches region candidates and performs automatic region-aware retouching without user guidance. The interactive branch encodes sparse user guidance into a priority condition vector and modulates latent features with a region selection module to further emphasize the user-specified regions. Experimental results show that our interactive branch effectively captures users' intents and generalizes well to unseen scenes with sparse user guidance, while our automatic branch also outperforms the state-of-the-art retouching methods due to improved region-awareness.

Alternative and ICT-based Advisory and Extension Approaches in the Tea Sector in Sri Lanka: An Explorative Study

The present study evaluated the usage level of alternative and information communication technology-based advisory and extension approaches, factors affecting the usage behavior, and limitations for implementing such approaches among advisory and extension officials in the tea sector in Sri Lanka during 2020-2022. An online survey was conducted with 72 officials. The majority were male (61%) and the mean age was 41 years. Most (47%) had up to diploma level education with a mean experience of 13 years. The government-imposed restrictions on public gatherings have significantly influenced the advisory and extension in the tea sector during 2020-2022. Respondents mainly connected with growers using mobile phone calls (76.6%) and WhatsApp messages (50%). Lack of communication infrastructure (62.5%), poor ICT knowledge and skills (51.6%), connection issues (57.8%), and inability to observe field conditions (68.8%) are the main barriers encountered by respondents. The main barriers faced by the farmers included lack of communication infrastructure (64.1%), poor ICT knowledge and skills (65.6%), connection issues (68.8%), inability to share quality photos (67.2%), and data cost (60.9%). The Majority of respondents (> 50%) showed positive perceptions towards these approaches and are willing to use them (73.4%) in the future. The results of Spearman’s correlation test showed relationships between the usage frequency of alternative approaches with education (r=0.455, p= 0.000) and age (r= -0.267, p= 0.033). There was a relationship between officials’ perception of alternatives and their usage frequency (r=0.504, p=0.000). In conclusion, the usage of ICT-based methods was higher among young and educated Officials.

Aesthetic quality matters: The visual effect of review helpfulness evaluation

Both photos and text are essential components of online reviews that jointly influence subsequent consumers’ decision-making. While the cognitive appeals of review text are widely investigated, the visual appeals of review photos are often overlooked. Based on the elaboration likelihood model, this study explores the interactive impact of photos and text, as peripheral and central cues respectively, on the perceived review helpfulness. A Deep Convolutional Neural Network model is applied to assess the aesthetic quality of over 126 K review photos, which is further revealed to significantly drive review helpfulness via the peripheral route. Such an effect is particularly strong when the review text is subjective and has a neutral sentiment. In addition, while it is the aesthetic quality of review photos that mainly drives the helpfulness of positive reviews, helpful negative reviews are expected to present objective arguments and distinct sentiment positions. The highlighted effects of photo aesthetics conditioning on textual features and review types largely inform the strategic management of visual content within online reviews.

Testing novel facial recognition technology to identify dogs during vaccination campaigns

A lack of methods to identify individual animals can be a barrier to zoonoses control. We developed and field-tested facial recognition technology for a mobile phone application to identify dogs, which we used to assess vaccination coverage against rabies in rural Tanzania. Dogs were vaccinated, registered using the application, and microchipped. During subsequent household visits to validate vaccination, dogs were registered using the application and their vaccination status determined by operators using the application to classify dogs as vaccinated (matched) or unvaccinated (unmatched), with microchips validating classifications. From 534 classified dogs (251 vaccinated, 283 unvaccinated), the application specificity was 98.9% and sensitivity 76.2%, with positive and negative predictive values of 98.4% and 82.8% respectively. The facial recognition algorithm correctly matched 249 (99.2%) vaccinated and microchipped dogs (true positives) and failed to match two (0.8%) vaccinated dogs (false negatives). Operators correctly identified 186 (74.1%) vaccinated dogs (true positives), and 280 (98.9%) unvaccinated dogs (true negatives), but incorrectly classified 58 (23.1%) vaccinated dogs as unmatched (false negatives). Reduced application sensitivity resulted from poor quality photos and light-associated color distortion. With development and operator training, this technology has potential to be a useful tool to identify dogs and support research and intervention programs.