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Many images nowadays are captured from behind the glasses and may have certain stains discrepancy because of glass and must be processed to make differentiation between the glass and objects behind it. This research paper proposes an…

Computer Vision and Pattern Recognition · Computer Science 2015-06-04 Vini Katyal , Aviral , Deepesh Srivastava

When a camera is pointed at a strong light source, the resulting photograph may contain lens flare artifacts. Flares appear in a wide variety of patterns (halos, streaks, color bleeding, haze, etc.) and this diversity in appearance makes…

Image and Video Processing · Electrical Eng. & Systems 2021-10-11 Yicheng Wu , Qiurui He , Tianfan Xue , Rahul Garg , Jiawen Chen , Ashok Veeraraghavan , Jonathan T. Barron

Flare spot is one type of flare artifact caused by a number of conditions, frequently provoked by one or more high-luminance sources within or close to the camera field of view. When light rays coming from a high-luminance source reach the…

Image and Video Processing · Electrical Eng. & Systems 2021-03-10 Patricia Vitoria , Coloma Ballester

Clutter in photos is a distraction preventing photographers from conveying the intended emotions or stories to the audience. Photography amateurs frequently include clutter in their photos due to unconscious negligence or the lack of…

Computer Vision and Pattern Recognition · Computer Science 2025-07-22 Xiaoran Wu

Images taken through window glass are often degraded by contaminants adhered to the glass surfaces. Such contaminants cause occlusions that attenuate the incoming light and scatter stray light towards the camera. Most of existing deep…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Qiang Li , Yuanming Cao

Detecting AI generated images is a challenging yet essential task. A primary difficulty arises from the detectors tendency to rely on spurious patterns, such as compression artifacts, which can influence its decisions. These issues often…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Anirudh Sundara Rajan , Yong Jae Lee

Removing reflection artefacts from a single image is a problem of both theoretical and practical interest, which still presents challenges because of the massively ill-posed nature of the problem. In this work, we propose a technique based…

Computer Vision and Pattern Recognition · Computer Science 2019-10-02 Daniel Heydecker , Georg Maierhofer , Angelica I. Aviles-Rivero , Qingnan Fan , Dongdong Chen , Carola-Bibiane Schönlieb , Sabine Süsstrunk

Watermarking plays a key role in the provenance and detection of AI-generated content. While existing methods prioritize robustness against real-world distortions (e.g., JPEG compression and noise addition), we reveal a fundamental…

Computer Vision and Pattern Recognition · Computer Science 2025-02-11 Zhongjie Ba , Yitao Zhang , Peng Cheng , Bin Gong , Xinyu Zhang , Qinglong Wang , Kui Ren

Lens flare is a common image artifact that can significantly degrade image quality and affect the performance of computer vision systems due to a strong light source pointing at the camera. This survey provides a comprehensive overview of…

Image and Video Processing · Electrical Eng. & Systems 2023-10-24 Yousef Kotp , Marwan Torki

Reflections in videos are obstructions that often occur when videos are taken behind reflective surfaces like glass. These reflections reduce the quality of such videos, lead to information loss and degrade the accuracy of many computer…

Computer Vision and Pattern Recognition · Computer Science 2020-09-08 Amgad Ahmed , Suhong Kim , Mohamed Elgharib , Mohamed Hefeeda

Image splicing is a common form of image forgery. Such alterations may leave no visual clues of tampering. In recent works camera characteristics consistency across the image has been used to establish the authenticity and integrity of…

Computer Vision and Pattern Recognition · Computer Science 2011-05-25 H. R. Chennamma , Lalitha Rangarajan

In this paper, we study a new problem, Film Removal (FR), which attempts to remove the interference of wrinkled transparent films and reconstruct the original information under films for industrial recognition systems. We first physically…

Computer Vision and Pattern Recognition · Computer Science 2024-03-08 Jiaqi Tang , Ruizheng Wu , Xiaogang Xu , Sixing Hu , Ying-Cong Chen

Reflective flare is a phenomenon that occurs when light reflects inside lenses, causing bright spots or a "ghosting effect" in photos, which can impact their quality. Eliminating reflective flare is highly desirable but challenging. Many…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Yuekun Dai , Yihang Luo , Shangchen Zhou , Chongyi Li , Chen Change Loy

Reflections are very common phenomena in our daily photography, which distract people's attention from the scene behind the glass. The problem of removing reflection artifacts is important but challenging due to its ill-posed nature. The…

Computer Vision and Pattern Recognition · Computer Science 2023-08-29 Yingda Yin , Qingnan Fan , Dongdong Chen , Yujie Wang , Angelica Aviles-Rivero , Ruoteng Li , Carola-Bibiane Schnlieb , Baoquan Chen

Retrospective artifact correction (RAC) improves image quality post acquisition and enhances image usability. Recent machine learning driven techniques for RAC are predominantly based on supervised learning and therefore practical utility…

Image and Video Processing · Electrical Eng. & Systems 2021-10-12 Siyuan Liu , Kim-Han Thung , Liangqiong Qu , Weili Lin , Dinggang Shen , Pew-Thian Yap

Reflection is common in images capturing scenes behind a glass window, which is not only a disturbance visually but also influence the performance of other computer vision algorithms. Single image reflection removal is an ill-posed problem…

Computer Vision and Pattern Recognition · Computer Science 2022-01-19 Yunfei Liu , Yu Li , Shaodi You , Feng Lu

Photo restoration technology enables preserving visual memories in photographs. However, physical prints are vulnerable to various forms of deterioration, ranging from physical damage to loss of image quality, etc. While restoration by…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Seung-Yeon Back , Geonho Son , Dahye Jeong , Eunil Park , Simon S. Woo

The blocking artifact frequently appears in compressed real-world images or video sequences, especially coded at low bit rates, which is visually annoying and likely hurts the performance of many computer vision algorithms. A compressed…

Computer Vision and Pattern Recognition · Computer Science 2015-07-07 Xiaojie Guo

Metallic implants introduce severe artifacts in CT images, which degrades the image quality. It is an effective method to reduce metal artifacts by replacing the metal affected projection with the forward projection of a prior image. How to…

Medical Physics · Physics 2014-09-05 Yanbo Zhang , Xuanqian Mou

Sun Glare widely exists in the images captured by unmanned ground and aerial vehicles performing in outdoor environments. The existence of such artifacts in images will result in wrong feature extraction and failure of autonomous systems.…

Robotics · Computer Science 2021-10-14 Mahdi Abolfazli Esfahani , Han Wang
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