English
Related papers

Related papers: Let's See Clearly: Contaminant Artifact Removal fo…

200 papers

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

This paper describes and provides an initial solution to a novel video editing task, i.e., video de-fencing. It targets automatic restoration of the video clips that are corrupted by fence-like occlusions during capture. Our key observation…

Computer Vision and Pattern Recognition · Computer Science 2012-10-09 Yadong Mu , Wei Liu , Shuicheng Yan

Endoscopy is a routine imaging technique used for both diagnosis and minimally invasive surgical treatment. Artifacts such as motion blur, bubbles, specular reflections, floating objects and pixel saturation impede the visual interpretation…

Computer Vision and Pattern Recognition · Computer Science 2020-11-24 Sharib Ali , Felix Zhou , Adam Bailey , Barbara Braden , James East , Xin Lu , Jens Rittscher

We present a solution for the goal of extracting a video from a single motion blurred image to sequentially reconstruct the clear views of a scene as beheld by the camera during the time of exposure. We first learn motion representation…

Computer Vision and Pattern Recognition · Computer Science 2019-03-12 Kuldeep Purohit , Anshul Shah , A. N. Rajagopalan

In this paper, we present a new inpainting framework for recovering missing regions of video frames. Compared with image inpainting, performing this task on video presents new challenges such as how to preserving temporal consistency and…

Computer Vision and Pattern Recognition · Computer Science 2019-05-09 Yifan Ding , Chuan Wang , Haibin Huang , Jiaming Liu , Jue Wang , Liqiang Wang

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

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

With the explosive growth of web-based cameras and mobile devices, billions of photographs are uploaded to the internet. We can trivially collect a huge number of photo streams for various goals, such as 3D scene reconstruction and other…

Computer Vision and Pattern Recognition · Computer Science 2016-11-18 Jianjun Yang , Yin Wang , Honggang Wang , Kun Hua , Wei Wang , Ju Shen

Removing clutter from scenes is essential in many applications, ranging from privacy-concerned content filtering to data augmentation. In this work, we present an automatic system that removes clutter from 3D scenes and inpaints with…

Computer Vision and Pattern Recognition · Computer Science 2023-09-04 Fangyin Wei , Thomas Funkhouser , Szymon Rusinkiewicz

The objective of this paper is to be able to separate a video into its natural layers, and to control which of the separated layers to attend to. For example, to be able to separate reflections, transparency or object motion. We make the…

Computer Vision and Pattern Recognition · Computer Science 2019-10-25 Jean-Baptiste Alayrac , João Carreira , Relja Arandjelović , Andrew Zisserman

Video object removal aims to eliminate target objects from videos while plausibly completing missing regions and preserving spatio-temporal consistency. Although diffusion models have recently advanced this task, it remains challenging to…

Computer Vision and Pattern Recognition · Computer Science 2026-04-03 Dingming Liu , Wenjing Wang , Chen Li , Jing Lyu

In this paper, we suggest a general model for the fixed-valued impulse noise and propose a two-stage method for high density noise suppression while preserving the image details. In the first stage, we apply an iterative impulse detector,…

Multimedia · Computer Science 2014-01-24 Hossein Hosseini , Farokh Marvasti

Image restoration is the task of recovering a clean image from a degraded version. In most cases, the degradation is spatially varying, and it requires the restoration network to both localize and restore the affected regions. In this…

Image and Video Processing · Electrical Eng. & Systems 2022-01-04 Maitreya Suin , Kuldeep Purohit , A. N. Rajagopalan

The recurrent structure is a prevalent framework for the task of video super-resolution, which models the temporal dependency between frames via hidden states. When applied to real-world scenarios with unknown and complex degradations,…

Computer Vision and Pattern Recognition · Computer Science 2022-12-15 Liangbin Xie , Xintao Wang , Shuwei Shi , Jinjin Gu , Chao Dong , Ying Shan

We propose an automatic video inpainting algorithm which relies on the optimisation of a global, patch-based functional. Our algorithm is able to deal with a variety of challenging situations which naturally arise in video inpainting, such…

Computer Vision and Pattern Recognition · Computer Science 2017-12-08 Alasdair Newson , Andrés Almansa , Matthieu Fradet , Yann Gousseau , Patrick Pérez

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

We propose a novel framework to generate clean video frames from a single motion-blurred image. While a broad range of literature focuses on recovering a single image from a blurred image, in this work, we tackle a more challenging task…

Computer Vision and Pattern Recognition · Computer Science 2021-04-20 Dawit Mureja Argaw , Junsik Kim , Francois Rameau , Chaoning Zhang , In So Kweon

Existing adherent raindrop removal methods focus on the detection of the raindrop locations, and then use inpainting techniques or generative networks to recover the background behind raindrops. Yet, as adherent raindrops are diverse in…

Computer Vision and Pattern Recognition · Computer Science 2022-05-31 Wending Yan , Lu Xu , Wenhan Yang , Robby T. Tan

The remastering of vintage film comprises of a diversity of sub-tasks including super-resolution, noise removal, and contrast enhancement which aim to restore the deteriorated film medium to its original state. Additionally, due to the…

Computer Vision and Pattern Recognition · Computer Science 2020-09-21 Satoshi Iizuka , Edgar Simo-Serra

Retouching can significantly elevate the visual appeal of photos, but many casual photographers lack the expertise to operate in a professional manner. One particularly challenging task for old photo retouching remains the removal of dust…

Computer Vision and Pattern Recognition · Computer Science 2020-09-23 Ionuţ Mironică
‹ Prev 1 2 3 10 Next ›