Relevant bibliographies by topics / Aesthetic image enhancement

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Aesthetic image enhancement'

Author: Grafiati
Published: 25 May 2024
Last updated: 19 July 2025

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Journal articles on the topic "Aesthetic image enhancement"

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Zhao, Xiaoyan, Ling Shi, Zhao Han, and Peiyan Yuan. "A Mobile Image Aesthetics Processing System with Intelligent Scene Perception." Applied Sciences 14, no. 2 (2024): 822. http://dx.doi.org/10.3390/app14020822.

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Image aesthetics processing (IAP) is used primarily to enhance the aesthetic quality of images. However, IAP faces several issues, including its failure to analyze the influence of visual scene information and the difficulty of deploying IAP capabilities to mobile devices. This study proposes an automatic IAP system (IAPS) for mobile devices that integrates machine learning and traditional image-processing methods. First, we employ an extremely computation-efficient deep learning model, ShuffleNet, designed for mobile devices as our scene recognition model. Then, to enable computational infere
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Zhang, Fang-Lue, Miao Wang, and Shi-Min Hu. "Aesthetic Image Enhancement by Dependence-Aware Object Recomposition." IEEE Transactions on Multimedia 15, no. 7 (2013): 1480–90. http://dx.doi.org/10.1109/tmm.2013.2268051.

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Ghose, Tandra, Yannik Schelske, Takeshi Suzuki, and Andreas Dengel. "Low-level pixelated representations suffice for aesthetically pleasing contrast adjustment in photographs." Psihologija 50, no. 3 (2017): 239–70. http://dx.doi.org/10.2298/psi1703239g.

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Today?s web-based automatic image enhancement algorithms decide to apply an enhancement operation by searching for ?similar? images in an online database of images and then applying the same level of enhancement as the image in the database. Two key bottlenecks in these systems are the storage cost for images and the cost of the search. Based on the principles of computational aesthetics, we consider storing task-relevant aesthetic summaries, a set of features which are sufficient to predict the level at which an image enhancement operation should be performed, instead of the entire image. The
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Bravo, Bruna Souza Felix, Mariana Calomeni Elias, Leonardo Gonçalves Bravo, Thomas Novoa Gomes Jaeger, and Thamires Silva Cavalcante de Almeida. "Hyaluronic Acid-based Fillers for Facial Rehabilitation in Inherited Neuropath." Plastic and Reconstructive Surgery - Global Open 12, no. 5 (2024): e5836. http://dx.doi.org/10.1097/gox.0000000000005836.

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Summary: Charcot–Marie–Tooth (CMT) disease is the most prevalent inherited neuromuscular disorder. It commonly leads to various musculoskeletal deformities, profoundly impacting the quality of life. The present case report explores the often under-recognized body image dissatisfaction in CMT, highlighting the potential benefits of a multidisciplinary approach to enhance aesthetic satisfaction. We present a case of a 54-year-old woman with CMT, who experienced chronic facial asymmetry, significantly impairing her quality of life. Seeking cosmetic enhancement, she underwent two sessions of facia
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Wang, Jiangang, Qingnan Fan, Jinwei Chen, Hong Gu, Feng Huang, and Wenqi Ren. "RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-Resolution." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 7 (2025): 7727–35. https://doi.org/10.1609/aaai.v39i7.32832.

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Benefiting from their powerful generative capabilities, pretrained diffusion models have garnered significant attention for real-world image super-resolution (Real-SR). Existing diffusion-based SR approaches typically utilize semantic information from degraded images and restoration prompts to activate prior for producing realistic high-resolution images. However, general-purpose pretrained diffusion models, not designed for restoration tasks, often have suboptimal prior, and manually defined prompts may fail to fully exploit the generated potential. To address these limitations, we introduce
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Zhang, Xin, Xinyu Jiang, Qing Song, and Pengzhou Zhang. "A Visual Enhancement Network with Feature Fusion for Image Aesthetic Assessment." Electronics 12, no. 11 (2023): 2526. http://dx.doi.org/10.3390/electronics12112526.

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Image aesthetic assessment (IAA) with neural attention has made significant progress due to its effectiveness in object recognition. Current studies have shown that the features learned by convolutional neural networks (CNN) at different learning stages indicate meaningful information. The shallow feature contains the low-level information of images, and the deep feature perceives the image semantics and themes. Inspired by this, we propose a visual enhancement network with feature fusion (FF-VEN). It consists of two sub-modules, the visual enhancement module (VE module) and the shallow and de
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Liu, Ge. "Harmonious Blend of Ecology and Aesthetics by Integrating Natural Elements With Art and Craft." International Journal of Agricultural and Environmental Information Systems 16, no. 1 (2025): 1–16. https://doi.org/10.4018/ijaeis.372073.

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The rise of ecological aesthetics is based on the growing ecological crisis in reality, which shows its extremely important practical significance. In arts and crafts design, the use of natural elements can be reflected in many aspects. The purpose of this article is to explore the integration of natural elements and arts and crafts from the perspective of ecological aesthetics, and to enhance the uniqueness and aesthetic value of works by constructing a fusion model based on computer vision. Experimental results indicate that image enhancement leads to an improvement of approximately 15dB in
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Juan Zheng. "Product Appearance Aesthetics in Industrial Design Based on Variational Onsager Neural Network Optimized with Osprey Optimization Algorithm." Journal of Electrical Systems 20, no. 3s (2024): 2762–73. http://dx.doi.org/10.52783/jes.3172.

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Aesthetics are significant because they may elicit emotions, induce feelings of pleasure or desire, and convey an item's perceived worth and desirability. A well-designed and visually appealing product might stick apart in a competitive market and capture the interest of customers. In contrast, a badly constructed product may be disregarded or considered as inferior quality, regardless of its real functioning. In this manuscript, Product Appearance Aesthetics in Industrial Design Based on Variational Onsager Neural Network Optimized with Osprey Optimization Algorithm (PAAID-VONN-OOA) is propos
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Husselman, Tammy-Ann, Edson Filho, Luca W. Zugic, Emma Threadgold, and Linden J. Ball. "Stimulus Complexity Can Enhance Art Appreciation: Phenomenological and Psychophysiological Evidence for the Pleasure-Interest Model of Aesthetic Liking." Journal of Intelligence 12, no. 4 (2024): 42. http://dx.doi.org/10.3390/jintelligence12040042.

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We tested predictions deriving from the “Pleasure-Interest Model of Aesthetic Liking” (PIA Model), whereby aesthetic preferences arise from two fluency-based processes: an initial automatic, percept-driven default process and a subsequent perceiver-driven reflective process. One key trigger for reflective processing is stimulus complexity. Moreover, if meaning can be derived from such complexity, then this can engender increased interest and elevated liking. Experiment 1 involved graffiti street-art images, pre-normed to elicit low, moderate and high levels of interest. Subjective reports indi
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HETMAN, Viktoria. "The Functional Peculiarities of Image Usage in BBC and CNN News Texts." Linguistic and Conceptual Views of the World, no. 76 (2) (2024): 136–60. http://dx.doi.org/10.17721/2520-6397.2024.2.08.

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The article highlights the usage of images in BBC and CNN online news. The main communicative functions performed by images are considered to be as follows: image as illustration used to depicture the reality; image as evidence used to prove the facts; image as sensation used to evoke great surprise, excitement, or interest among a lot of people; image as evaluation used to carry huge emotional appeal; image as icon which functions as symbolic representation of key moments in history, war issues, critical moments embedded in the national psyche; images used to invoke aesthetic appeal. The text
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Dissertations / Theses on the topic "Aesthetic image enhancement"

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Payne, Andrew. "Automatic aesthetic image enhancement for consumer digital photographs." Thesis, Loughborough University, 2007. https://dspace.lboro.ac.uk/2134/34568.

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Automatic image enhancement refers to the process of improving the quality of the visual content of an image without user interaction. There has been considerable research done in the area of image enhancement normally as a preprocessing step for computer vision applications. Throughout the literature, objective image quality metrics have been defined and image enhancements have been made to satisfy the quality metric. Quality metrics typically are based upon the signal to noise ratio, focus measurements, or strength of edges within the image content. Subjective human input is rarely considere
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Goswami, Abhishek. "Content-aware HDR tone mapping algorithms." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG013.

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Le rapport entre l'intensité de luminance la plus lumineuse et la plus sombre dans les images à plage dynamique élevée (High Dynamic Range-HDR) est supérieur à la capacité de rendu du support de sortie. Les opérateurs de mappage de tonalités (Tone mapping operators - TMOs) compressent l'image HDR tout en préservant les indices perceptuels, modifiant ainsi la qualité esthétique subjective. Les techniques dans le domaine de la peinture ainsi que les techniques de correction manuelle de l'exposition en photographie ont inspiré de nombreuses recherches sur les TMOs. Cependant, contrairement au pro
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Raud, Charlie. "How post-processing effects imitating camera artifacts affect the perceived realism and aesthetics of digital game graphics." Thesis, Södertörns högskola, Institutionen för naturvetenskap, miljö och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-34888.

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This study investigates how post-processing effects affect the realism and aesthetics of digital game graphics. Four focus groups explored a digital game environment and were exposed to various post-processing effects. During qualitative interviews these focus groups were asked questions about their experience and preferences and the results were analysed. The results can illustrate some of the different pros and cons with these popular post-processing effects and this could help graphical artists and game developers in the future to use this tool (post-processing effects) as effectively as po
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Huang, Yong-Jian, and 黃詠健. "Developing a Professional Image Enhancement Mechanism Based on Contemporary Photograph Aesthetics Criteria Mining." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/17283014763907672061.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>103<br>In recent years, the rise of smartphones and digital cameras makes it easier to take photos and a mass amount of photos are spread on the Internet. Photographic aesthetics is some sort of art which is expressed by the professional photographers’ aesthetic sensibilities and emotion. Moreover, many professional photographers make adjustments to the photos in post, and let photos much become more beautiful and meet the conditions of photographic aesthetics rules. Enhancing the images followed by ambiguous photographic aesthetics become a big task for computer. In
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Book chapters on the topic "Aesthetic image enhancement"

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Chaudhary, Priyanka, Kailash Shaw, and Pradeep Kumar Mallick. "A Survey on Image Enhancement Techniques Using Aesthetic Community." In Advances in Intelligent Systems and Computing. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5520-1_53.

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Olsson, Liselott Mariett, Robert Lecusay, and Monica Nilsson. "Children and Adults Explore Human Beings’ Place in Nature and Culture: A Swedish Case-Study of Early Childhood Commons for More Equal and Inclusive Education." In Educational Commons. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51837-9_3.

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AbstractThis chapter accounts for a Swedish case-study on the potential of educational commons to promote more equal and inclusive education in the early years. Several conditions decisive for this potential to be activated are identified and analysed: (1) the relation between research and practice, (2) the image of the child, (3) the role of teachers, (4) the definition of the educational task, and (5) the educational methods used. These conditions are described further in terms of how they were activated within a Playworld/Interactive performance based a common research question, shared by preschool children and adults, on human beings’ place in nature and culture. The chapter concludes that educational commons may function as a catalyst in promoting more equal and inclusive education if, the image of children and teachers is embedded within a shared, intergenerational search for meaning where both children and teachers are conceived as contributing commoners, education defines its task not only as compensatory but also as complementary and as a place for children’s search for meaning, where imagination, play and the creative co-construction of narratives must be allowed to co-exist with more conventional and “rational” modes of learning and teaching, methods and theoretical tools in educational practice and research carry an aesthetic variety that incorporates both sensous-perceptive experiences and an enhancement of individual and collective memories as well as opportunities for children and adults to formulate and gather around a common object of knowledge and interest.
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Kalyani, Chenigaram, Manda Sridhar, and Vemireddy Nagamalleshwari. "IMAGE ENHANCEMENT WITH OPTIMIZED GAMMA CORRECTION THROUGH WEIGHTED DISTRIBUTION VIA DIFFERENTIAL EVOLUTION ALGORITHM." In Futuristic Trends in IOT Volume 3 Book 4. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bdio4p2ch7.

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When an image obtained contains faults such as noise, poor quality, or a bad visual impression to the eyes. To improve the aesthetic appeal, we need to apply image enhancement. Goal of an image enhancement is to eliminate the flaws from an image while retaining the crucial features. Studies proposed the various types of improvement procedures that had the favourable outcomes. In this approach, we just combine the Differential Evolution DE method along with the Adaptive Gamma Correction [19] through the Weighted Distribution AGCWD to form a new hybrid method known as Optimised Gamma Correction through the Weighted Distribution OGCWD. The proposed method it is an automated modification operation which attempts to increase the image brightness. Terms like Structural Similarity Index (SSIM), Mean Square Error (MSE) as well as Peak Signal to Noise Ratio(PSNR), the proposed OGCWD algorithm gives the contemporary image improvement approaches.
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"Aesthetic Enhancement." In The Texture of Images. BRILL, 2020. http://dx.doi.org/10.1163/9789004440128_007.

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V S, Rakesh, and Bhavana Potli. "Foundations of Image Processing Understanding Pixels Color Models and Image Formats." In Image Processing Techniques and its Applications in Computer Vision and Artificial Intelligence. RADemics Research Institute, 2024. https://doi.org/10.71443/9788197933660-01.

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The chapter explores the pivotal role of color transformations in digital image processing, emphasizing the conversion between various color models such as RGB, CMYK, HSV, and YCbCr. Understanding these transformations was essential for ensuring accurate color representation across diverse applications, including photography, graphic design, and video processing. The chapter outlines the mathematical principles underlying color model conversion, highlighting the challenges associated with color fidelity and gamut mapping. Furthermore, it discusses the implications of these transformations for image quality enhancement, visual aesthetics, and cross-platform compatibility. With a focus on both theoretical frameworks and practical applications, this chapter serves as a comprehensive resource for practitioners and researchers aiming to optimize color representation in digital imaging workflows. Key advancements and future directions in color model research are also addressed, underscoring the importance of continuous innovation in this dynamic field.
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Conference papers on the topic "Aesthetic image enhancement"

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Zavalishin, Sergey S., and Yuri S. Bekhtin. "Visually aesthetic image contrast enhancement." In 2018 7th Mediterranean Conference on Embedded Computing (MECO). IEEE, 2018. http://dx.doi.org/10.1109/meco.2018.8406077.

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Li, Ling, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, and Songcan Chen. "ALL-E: Aesthetics-guided Low-light Image Enhancement." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/118.

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Evaluating the performance of low-light image enhancement (LLE) is highly subjective, thus making integrating human preferences into image enhancement a necessity. Existing methods fail to consider this and present a series of potentially valid heuristic criteria for training enhancement models. In this paper, we propose a new paradigm, i.e., aesthetics-guided low-light image enhancement (ALL-E), which introduces aesthetic preferences to LLE and motivates training in a reinforcement learning framework with an aesthetic reward. Each pixel, functioning as an agent, refines itself by recursive ac
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Du, Xiaoyu, Xun Yang, Zhiguang Qin, and Jinhui Tang. "Progressive Image Enhancement under Aesthetic Guidance." In ICMR '19: International Conference on Multimedia Retrieval. ACM, 2019. http://dx.doi.org/10.1145/3323873.3325055.

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Deng, Yubin, Chen Change Loy, and Xiaoou Tang. "Aesthetic-Driven Image Enhancement by Adversarial Learning." In MM '18: ACM Multimedia Conference. ACM, 2018. http://dx.doi.org/10.1145/3240508.3240531.

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Bakhshali, Mohamad Amin, Mousa Shamsi, and Amir Golzarfar. "Facial color image enhancement for aesthetic surgery blepharoplasty." In 2012 IEEE Symposium on Industrial Electronics and Applications (ISIEA 2012). IEEE, 2012. http://dx.doi.org/10.1109/isiea.2012.6496659.

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Li, Leida, Yuzhe Yang, and Hancheng Zhu. "Naturalness Preserved Image Aesthetic Enhancement with Perceptual Encoder Constraint." In ICMR '19: International Conference on Multimedia Retrieval. ACM, 2019. http://dx.doi.org/10.1145/3323873.3326591.

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Zhang, Xiaoyan, Martin Constable, and Kap Luk Chan. "Aesthetic enhancement of landscape photographs as informed by paintings across depth layers." In 2011 18th IEEE International Conference on Image Processing (ICIP 2011). IEEE, 2011. http://dx.doi.org/10.1109/icip.2011.6115622.

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Liu, Xiangfei, Xiushan Nie, Zhen Shen, and Yilong Yin. "Joint Learning of Image Aesthetic Quality Assessment and Semantic Recognition Based on Feature Enhancement." In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. http://dx.doi.org/10.1109/icassp39728.2021.9414367.

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Zhou, Xiaobu. "Construction and Empirical Research for User Demand-Oriented Food Product Design Pathway." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006079.

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With the globalization accelerates rapidly and consumer cultures become increasingly diverse, food design has shifted from a focus on functionality to prioritizing cultural value, emotional connection, and personalized experiences. In particular, within the realm of cultural and creative foods, the central challenge lies in integrating local culture with contemporary craftsmanship to meet the varied demands of consumers. Dali, a city rich in historical and cultural heritage, provides abundant inspiration for designing cultural and creative ice creams. However, existing designs largely rely on
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Pivar, Matej, Jon Brce, and Deja Muck. "DIFFERENT METHODS FOR PRODUCING COLOR REPRODUCTIONS ON 3D PRINTED OBJECTS." In INTERNATIONAL SYMPOSIUM ON GRAPHIC ENGINEERING AND DESIGN. UNIVERSITY OF NOVI SAD FACULTY OF TECHNICAL SCIENCES DEPARTMENT OF GRAPHIC ENGINEERING AND DESIGN 21000 Novi Sad, Trg Dositeja Obradovića 6, 2024. http://dx.doi.org/10.24867/grid-2024-p14.

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This article presents two methods of colour printing on programmable 3D structures and their use for practical applications in everyday life. The colour printing was done by direct printing with a flatbed UV inkjet printer and indirect printing by thermally transferring the electrophotographic toner to the 3D printed object produced with the most widely used and affordable material extrusion 3D printing technology. The print quality of the colour reproductions was determined by basic densitometric and spectrophotometric measurements, ink adhesion analysis and image analysis of the printed grap
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