Photo Editing Applications Research Articles

How Do Artificial Intelligence, Social Media Platforms and Photo Editing Applications Influence Cosmetic Surgery Choices—Literature Systematic Review and Prospective Study

Background: In recent years, social media and AI have indirectly taken control of our daily lives. We bring attention to the impact that social networks, photo-editing applications, and artificial intelligence have on potential patients when they are looking for a surgeon for a possible cosmetic surgery, as well as the criteria they consider in relation to the interest in the use of the internet by surgeons. Methods: A systematic review of the past 10 years (2014–2024) was conducted following the PRISMA structure. PubMed and Google Scholar were searched for articles containing the following terms: plastic/esthetic surgery, social media, AI, filters, dysmorphia. All articles were saved using Zotero software version 6.0.37. We reported a prospective study including a 141 patients applying for esthetic surgical interventions in the time interval between February and October 2021. It also involved 44 esthetic surgeons from Tunisian clinics. The influence of social media was evaluated using questionnaires made based on the literature. Results: Using the keyword search, 71 articles were found. A total of 19 articles were selected for data extraction. It was observed that in the last 3 years, the literature has focused on photo-editing and AI in the cosmetic surgery field. A total of 107 patients chose their surgeon based on a surgeon’s social medias rather than their reputation and their website. Conclusions: The increased advancements of the internet have clearly influenced decision making in the field of cosmetic surgery.

Pelatihan Pembuatan Foto Produk Menggunakan Kamera Handphone dan Peralatan Sederhana untuk Membantu Menaikkan Daya Pemasaran UMKM di Desa Karangtengah, Kecamatan Cepiring, Kabupaten Kendal

It is considering that the market has now switched to digital through the world of social media. Skills in attracting buyers and digital marketing need to be improved for Home Industry entrepreneurs to compete and survive in the industrial market. By providing training in product photo making, at least it can provide new insights and knowledge that good product photos do not have to be done with sophisticated equipment and in a luxurious studio. However, producing interesting product photos can be done with a simple photo trick, like using only a handphone camera that almost everyone has, minimal software application, and simple equipment that helps to improve the results later. After delivering the theory and direct experiments, it is hoped that the knowledge and skills gained will continue to be remembered, utilized, honed, and continuously developed by themselves. Trial and error using more advanced photo editing application software that is widely available on mobile devices today, both free and paid. In the end, making attractive product photos, of course, will become a good weapon and increase competition in marketing Home Industry products, and the goal is to attract many buyers.

Materializing Magic: How the Witches of Instagram Make the Invisible Visible Through Digital Photography and Editing Techniques

Recently, contemporary witchcraft has become increasingly subject to commodification, with many practitioners criticized for their pursuit of the “witch aesthetic” on social media. With Instagram feeds featuring carefully staged photographs of tools, materials, and spaces related to the craft, these “Insta-witches” or “#witchesofinstagram” often use photo editing applications like Photoshop to digitally manipulate these images in order to enhance their magical or otherworldly dimensions. In this article, I argue that the excessive use of magical “stuff,” along with the staging and editing of images shared on social media does not have to be superficial or devoid of meaning. Rather, I explore how these Witches of Instagram participate in what anthropologist Jennifer Deger refers to as “thick photography”—a process of image creation and alteration that gives rise to multilayered stories capable of extending beyond the bounds of the ordinary. In this context, photography foregrounds the intuitive, imaginative, and embodied ways of knowing central to the practice of magic, making visible that which may otherwise remain invisible. These digital images thus become relationally constituted material surfaces where networks of bodies, objects and energies are visualized, revealing the porous boundaries between categories such as human and nonhuman, internal and external, material and immaterial, and mundane and magical.

Students' application of integrated skills from mathematics, language, arts, and technology: lessons from students' use of mobile photo editing applications to visualise sustainability concepts

Students' application of integrated skills from mathematics, language, arts, and technology: lessons from students' use of mobile photo editing applications to visualise sustainability concepts

How photo editing in social media shapes self-perceived attractiveness and self-esteem via self-objectification and physical appearance comparisons

BackgroundAs photo editing behavior to enhance one?s appearance in photos becomes more and more prevalent on social network sites (SNSs), potential risks are increasingly discussed as well. The purpose of this study is to examine the relationship between photo editing behavior, self-objectification, physical appearance comparisons, self-perceived attractiveness, and self-esteem.Methods403 participants completed self-report questionnaires measuring the aformentioned constructs. A parallel-sequential multiple mediation model was conducted to examine the relationship between photo editing behavior and self-esteem considering multiple mediators.ResultsThe results indicate that photo editing behavior is negatively related to self-perceived attractiveness and self-esteem mediated via self-objectification and physical appearance comparisons.ConclusionsThe postulated mediation model was justified by our data. Thus, SNS users should be aware of potential negative consequences when using photo editing applications or filters.

A Compositional Transformer Based Autoencoder for Image Style Transfer

Image style transfer has become a key technique in modern photo-editing applications. Although significant progress has been made to blend content from one image with style from another image, the synthesized image may have a hallucinatory effect when the texture from the style image is rich when processing high-resolution image style transfer tasks. In this paper, we propose a novel attention mechanism, named compositional attention, to design a compositional transformer-based autoencoder (CTA) to solve this above-mentioned issue. With the support from this module, our model is capable of generating high-quality images when transferring from texture-riched style images to content images with semantics. Additionally, we embed region-based consistency terms in our loss function for ensuring internal structure semantic preservation in our synthesized image. Moreover, information theory-based CTA is discussed and Kullback–Leibler divergence loss is introduced to preserve more brightness information for photo-realistic style transfer. Extensive experimental results based on three benchmark datasets, namely Churches, Flickr Landscapes, and Flickr Faces HQ, confirmed excellent performance when compared to several state-of-the-art methods. Based on a user study assessment, the majority number of users, ranging from 61% to 66%, gave high scores on the transfer effects of our method compared to 9% users who supported the second best method. Further, for the questions of realism and style transfer quality, we achieved the best score, i.e., an average of 4.5 out of 5 compared to other style transfer methods.

Retinex-Based Relighting for Night Photography

The lighting up of buildings is one form of entertainment that makes a city more colorful, and photographers sometimes change this lighting using photo-editing applications. This paper proposes a method for automatically performing such changes that follows the Retinex theory. Retinex theory indicates that the complex scenes caught by the human visual system are affected by surrounding colors, and Retinex-based image processing uses these characteristics to generate images. Our proposed method follows this approach. First, we propose a method for extracting a relighting saliency map using Retinex with edge-preserving filtering. Second, we propose a sampling method to specify the lighting area. Finally, we composite the additional light to match the human visual perception. Experimental results show that the proposed sampling method is successful in keeping the illuminated points in bright locations and equally spaced apart. In addition, the proposed various diffusion methods can enhance nighttime skyline photographs with various expressions. Finally, we can add in a new light by considering Retinex theory to represent the perceptual color.

Students’ application of integrated skills from mathematics, language, arts, and technology: lessons from students’ use of mobile photo editing applications to visualise sustainability concepts

Students’ application of integrated skills from mathematics, language, arts, and technology: lessons from students’ use of mobile photo editing applications to visualise sustainability concepts

Photosav: A Tkinter Based Photo Editing Application

The human brain is more engaged by viewing images than by reading lists of facts. Whenever we try to view, edit, or create an image, we actually have our own interaction with the visual expression in the image. Although everyone has a unique editing style, it is a common practice in the photography industry. Photo editing enables users to enhance and stylize images in ways that would be impossible in-camera. It is much more difficult without image editing application. This paper presents an approach for the development of Windows application that can be a full-scale photo editing tool. Our application is easy to use and it also helps to store images via different extensions. The various image editing libraries used to develop this application are explained here. Different image editing features such as cropping, drawing, etc. help all type of users to use the application efficiently. The detailed explanation of these features are provided. This paper shows how image processing can be used to edit images by using various computer vision algorithms to perform several operations on an image. However, there are certain image editing applications available, but photosav is a simple and comprehensive windows application in which maximum features are clubbed together for the users

PELATIHAN FOTOGRAFI PRODUK MENGGUNAKAN SMARTPHONE UNTUK MENINGKATKAN VISUAL BRANDING PADA UMKM KERAJINAN TANDUK SAPI DESA PUCANG, MAGELANG

Product photos with smartphones can be a solution for MSMEs in facing the risk of access to the market. Smartphones are now equipped with cameras and photo editing applications that are very adequate and easy to create visual branding. One of the product photos used in the Community Service (PkM) training this time is product photography. The partner of this PkM is "Toko Subur", which is a horn and souvenir handicraft business which is located in Pucang Village, Secang, Magelang. The problem raised is the limitation of soft skills in applying smartphones for product photography purposes. For this reason, the PkM Team provides a solution in the form of simple product photography training using a smartphone and other supporting properties. The method used is direct training using a smartphone or simple property for SMEs "Toko Subur" as well as joint discussions regarding the obstacles they face. The output of this PkM is the formation of soft skills for MSME actors in the field of product photography to create visual branding so that they are able to attract potential consumers and increase sales from both social media and e-commerce.

Adaptive partitioning‐based copy‐move image forgery detection using optimal enabled deep neuro‐fuzzy network

AbstractThe emergence of photo editing applications, like Adobe Photoshop, has manipulated the operation of digital images into a simple task. However, these manipulations of images misrepresent the content of the original image for misleading the public. Various copy move forgery detection techniques are developed, but these show less robustness on the image with noise and blurring. This article develops an optimization‐driven deep learning technique for image forgery detection. The purpose is to develop a copy‐move image forgery detection technique using a deep neuro‐fuzzy network and a newly developed optimization algorithm. Here, adaptive partitioning is adapted using a rectangular search for splitting the image into different parts. In addition, the features like local Gabor XOR pattern and Texton features are extracted from the partition. Furthermore, the forgery is detected using the deep neuro‐fuzzy network. Finally, the deep neuro‐fuzzy network training is performed using the proposed multi‐verse invasive weed optimization (MVIWO) technique. The proposed MVIWO method will be newly designed by integrating the multi‐verse optimizer and invasive weed optimization technique. Thus, the copy‐move image forgery detection is effectively performed using the proposed MVIWO‐based deep neuro‐fuzzy network. The developed MVIWO‐based deep neuro‐fuzzy network offers superior performance with the highest specificity of 93.54%, highest accuracy of 94.01%, and highest sensitivity of 97.75%.

Selfie Editing and Consideration of Cosmetic Surgery Among Young Chinese Women: The Role of Self-Objectification and Facial Dissatisfaction

Research reveals significant positive associations between selfie editing and consideration of cosmetic surgery, yet little is known about why this relationship exists. To address this question, the present study investigated the association between selfie editing and consideration of cosmetic surgery among young Chinese women and the mediating effects of self-objectification and facial dissatisfaction. A sample of 589 Chinese undergraduate women completed measures of selfie editing, self-objectification, facial dissatisfaction, and consideration of cosmetic surgery. Results showed that selfie editing was significantly positively correlated with consideration of cosmetic surgery. Self-objectification and facial dissatisfaction mediated this association along two mediating paths: the separate mediating effects of self-objectification and the serial mediating effects of self-objectification and facial dissatisfaction. Findings from the current study suggest that the use of photo editing applications is a risk factor for young women’s body image concerns and consideration of cosmetic surgery, which supports encouraging women to reduce the use of photo editing applications and indicates insights into possible prevention and intervention programs intended to reduce consideration of cosmetic surgery among women.

Commentary on: The Influence of Photo Editing Applications on Patients Seeking Facial Plastic Surgery Services.

Commentary on: The Influence of Photo Editing Applications on Patients Seeking Facial Plastic Surgery Services.

The Role of Photo Editing in Instagram Towards the Body Image Among Female Teenagers

The use of social media among teenagers, such as Instagram, has influenced how they perceive their own bodies. This study aimed to find out the role of photo editing among female teenagers in affecting their body image. The study has applied a descriptive qualitative approach. The data were collected through interviews with the selected informants, i.e. female teenagers in Yogyakarta, Indonesia, that using Instagram and photo editing applications, with a range of age 12-18 years old. This study finds that the most important motivation for sharing the photos is showing the best of body image according to certain socially constructed standards. Some teenagers have positive self-concept and are more confident in sharing their photos without any editing processes. While some others feel dissatisfaction with their body image, find insecure and afraid of negative comments, and in turn need to edit their photos before uploading to Instagram. Keywords: body image, female teenager, photo editing, insecure, Instagram.

The Influence of Photo Editing Applications on Patients Seeking Facial Plastic Surgery Services.

The utilization of the smartphone and social media have introduced paradigm shifts to cosmetic surgery. Much has been studied regarding social media and its influences in plastic surgery; however, little is known about facial editing applications and how these relate to plastic surgery practices. The authors sought to discover if face-editing applications influence patients' pursuit of plastic surgery, who utilizes these applications, and why. An anonymous survey was administered between September and December 2019, including questions about demographics, familiarity, and utilization of face-editing applications, motivations in utilization and influences towards pursuing cosmetic procedures, and attitudes towards applications. Seventy patients completed the survey and 32.9% admitted to utilizing face-editing applications. Patients utilizing applications were significantly younger (36.9 years) than those who did not (54 years [P < 0.001]). Among those familiar with applications, women were significantly more likely than men to utilize them (100% vs 78.6%, respectively [P = 0.047]). Social media was the most common influence for utilizing apps (87%). The majority confirmed that these applications played a role in pursuing cosmetic procedures (56.5%). Most patients did not regret their utilization of these applications (87%). Face-editing applications serve a role regarding patient decision-making to pursue cosmetic surgery. Several motivators exist for application utilization, the largest of which is social media. Younger females are the most likely demographic to utilize applications and generally do not express regret in doing so. Plastic surgeons would benefit by understanding patient motivations and expectations created by utilizing these applications.

Can virtual makeovers using photo editing applications moderate negative media influences on SNS users’ body satisfaction?

Can virtual makeovers using photo editing applications moderate negative media influences on SNS users’ body satisfaction?

Association Between the Use of Social Media and Photograph Editing Applications, Self-esteem, and Cosmetic Surgery Acceptance.

Social media platforms and photograph (photo) editing applications are increasingly popular sources of inspiration for individuals interested in cosmetic surgery. However, the specific associations between social media and photo editing application use and perceptions of cosmetic surgery remain unknown. To assess whether self-esteem and the use of social media and photo editing applications are associated with cosmetic surgery attitudes. A population-based survey study was conducted from July 1 to September 19, 2018. The web-based survey was administered through online platforms to 252 participants. Each participant's self-esteem was measured using the Rosenberg Self-esteem Scale (scores range from 0-30; higher scores indicate higher self-esteem) and the Contingencies of Self-worth Scale (scores range from 1-7; higher scores indicate higher self-worth). Cosmetic surgery attitude was measured using the Acceptance of Cosmetic Surgery Scale (scores range from 1-7; higher scores indicate higher acceptance of cosmetic surgery). Unpaired, 2-tailed t tests were used to assess the significance of self-esteem and cosmetic surgery attitude score differences among users of various social media and photo editing applications. Structural equation modeling was used to assess the association between social media investment and cosmetic surgery attitudes. Of the 252 participants, 184 (73.0%) were women, 134 (53.2%) reported themselves to be white, and the mean age was 24.7 (range, 18-55) years. Scores on the Rosenberg Self-esteem Scale from users and nonusers across applications were compared, with lower self-esteem scores noted in participants who reported using YouTube (difference in scores, -1.56; 95% CI, -3.01 to -0.10), WhatsApp (difference in scores, -1.47; 95% CI, -2.78 to -0.17), VSCO (difference in scores, -3.20; 95% CI, -4.98 to -1.42), and Photoshop (difference in scores, -2.92; 95% CI, -5.65 to -0.19). Comparison of self-esteem scores for participants who reported using other social media and photo editing applications yielded no significant differences. Social media investment had a positive association with consideration of cosmetic surgery (R, 0.35; 95% CI, 0.04-0.66). A higher overall score on the Acceptance of Cosmetic Surgery Scale was noted in users of Tinder (difference in means, 0.79; 95% CI, 0.34-1.23), Snapchat (difference in means, 0.39; 95% CI, 0.07 to 0.71), and/or Snapchat photo filters (difference in means, 0.44; 95% CI, 0.16-0.72). Increased consideration of cosmetic surgery but not overall acceptance of surgery was noted in users of VSCO (difference in means, 0.84; 95% CI, 0.32-1.35) and Instagram photo filters (difference in means, 0.38; 95% CI, 0.01-0.76) compared with nonusers. This study's findings suggest that the use of certain social media and photo editing applications may be associated with increased acceptance of cosmetic surgery. These findings can help guide future patient-physician discussions regarding cosmetic surgery perceptions, which vary by social media or photo editing application use. NA.

A study of the relationship between narcissism, extraversion, body-esteem, social comparison orientation and selfie-editing behavior on social networking sites

With the proliferation of photo-editing applications on smartphones, selfie editing has become more and more popular. Despite its popularity, only a few studies have examined the predictors of this behavior. Using a young Chinese sample, this study examined whether narcissism, extraversion, body-esteem (includes BE-appearance, BE-attribution, and BE-weight) and social comparison orientation (SCO) can predict selfie-editing frequency on social networking sites (SNSs). Hierarchical regression analysis showed that narcissism, extraversion, BE-attribution and SCO were positively related to selfie-editing frequency while BE-appearance was negatively related to selfie-editing frequency.

사진보정 앱 사용자의 이용 태도에 관한 연구 - SNOW 사진보정 앱 중심으로 -

사진보정 앱 사용자의 이용 태도에 관한 연구 - SNOW 사진보정 앱 중심으로 -

Unsupervised texture transfer from images to model collections

Large 3D model repositories of common objects are now ubiquitous and are increasingly being used in computer graphics and computer vision for both analysis and synthesis tasks. However, images of objects in the real world have a richness of appearance that these repositories do not capture, largely because most existing 3D models are untextured. In this work we develop an automated pipeline capable of transporting texture information from images of real objects to 3D models of similar objects. This is a challenging problem, as an object's texture as seen in a photograph is distorted by many factors, including pose, geometry, and illumination. These geometric and photometric distortions must be undone in order to transfer the pure underlying texture to a new object --- the 3D model. Instead of using problematic dense correspondences, we factorize the problem into the reconstruction of a set of base textures (materials) and an illumination model for the object in the image. By exploiting the geometry of the similar 3D model, we reconstruct certain reliable texture regions and correct for the illumination, from which a full texture map can be recovered and applied to the model. Our method allows for large-scale unsupervised production of richly textured 3D models directly from image data, providing high quality virtual objects for 3D scene design or photo editing applications, as well as a wealth of data for training machine learning algorithms for various inference tasks in graphics and vision.