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Visual Self-Refinement for Autoregressive Models. [PDF]
Find ACL EMNLPWang J +7 more
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Image Inpainting: A Review [PDF]
Neural Processing Letters, 2019 Although image inpainting, or the art of repairing the old and deteriorated images, has been around for many years, it has gained even more popularity because of the recent development in image processing techniques. With the improvement of image processing tools and the flexibility of digital image editing, automatic image inpainting has found ...
Omar ELHarrouss +2 more
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Ninth International Conference on Computer Aided Design and Computer Graphics (CAD-CG'05), 2006
Image inpainting technique has been widely used for reconstructing damaged old photographs and removing unwanted objects from images. In this paper, we present an image inpainting method based on the existing exemplar-based image inpainting idea. Our method improves the robustness and effectiveness by rational confidence computing method, matching ...
BianRu Li, Yue Qi, Xukun Shen
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Image inpainting technique has been widely used for reconstructing damaged old photographs and removing unwanted objects from images. In this paper, we present an image inpainting method based on the existing exemplar-based image inpainting idea. Our method improves the robustness and effectiveness by rational confidence computing method, matching ...
BianRu Li, Yue Qi, Xukun Shen
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Image compression with inpainting
2012 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2012In common wireless scenario, the data needs to be efficiently compressed by utilizing the channel bandwidth and thus to increase the data bit rate. The image is transmitted over the channel block by block. We can enhance the compression performance by intelligently choosing blocks from the image with non-relevant information in it.
Veeramma Yatnalli, K. L. Sudha
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Bishift-Net for Image Inpainting
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021Image inpainting remains a challenging task in computer vision which aims to fill in the missing area of a corrupted image with proper contents and generate photorealistic images by using the information from the existing area. Most existing methods always generate contents with blurry texture caused by propogating the convolutional feature through a ...
Xue Zhou +3 more
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A Comprehensive Framework for Image Inpainting
IEEE Transactions on Image Processing, 2010Inpainting is the art of modifying an image in a form that is not detectable by an ordinary observer. There are numerous and very different approaches to tackle the inpainting problem, though as explained in this paper, the most successful algorithms are based upon one or two of the following three basic techniques: copy-and-paste texture synthesis ...
Aurélie Bugeau +3 more
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Error Analysis for Image Inpainting
Journal of Mathematical Imaging and Vision, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tony F. Chan, Sung Ha Kang
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Proceedings of the 28th ACM International Conference on Multimedia, 2020
Given a partially masked image, image inpainting aims to complete the missing region and output a plausible image. Most existing image inpainting methods complete the missing region by expanding or borrowing information from the surrounding source region, which work well when the original content in the missing region is similar to the surrounding ...
Zijian Zhang 0002 +4 more
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Given a partially masked image, image inpainting aims to complete the missing region and output a plausible image. Most existing image inpainting methods complete the missing region by expanding or borrowing information from the surrounding source region, which work well when the original content in the missing region is similar to the surrounding ...
Zijian Zhang 0002 +4 more
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Digital image inpainting and microscopy imaging
Microscopy Research and Technique, 2011AbstractA considerable amount of image processing techniques known as inpainting techniques have been recently developed aiming to provide solutions for filling in missing or damaged regions in a digital image. Typical such techniques reconstruct a defined area by using information from its neighborhood, for example, by completing inside the missing ...
Stefan G, Stanciu +2 more
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Image inpainting with Markov chains
Signal, Image and Video Processing, 2020This paper presents a novel context-based image inpainting method. The proposed technique is applying Markov chains to restore the colors of objects from images affected by some external factors (like scratches or wipes) or partially covered by other objects.
Arpad Gellert, Remus Brad
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