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Compression artifact

Known as: Datamoshing, Datamosh, Mosquito artifact 
A compression artifact (or artefact) is a noticeable distortion of media (including images, audio, and video) caused by the application of lossy data… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
When lossy video compression algorithms are applied, compression artifacts often appear in videos, making decoded videos… Expand
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Highly Cited
2017
Highly Cited
2017
Compression artifacts arise in images whenever a lossy compression algorithm is applied. These artifacts eliminate details… Expand
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Highly Cited
2016
Highly Cited
2016
We present a highly accurate single-image superresolution (SR) method. Our method uses a very deep convolutional network inspired… Expand
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Highly Cited
2016
Highly Cited
2016
We propose an image super-resolution method (SR) using a deeply-recursive convolutional network (DRCN). Our network has a very… Expand
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Highly Cited
2016
Highly Cited
2016
This paper shows that it is possible to train large and deep convolutional neural networks (CNN) for JPEG compression artifacts… Expand
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Highly Cited
2015
Highly Cited
2015
Lossy compression introduces complex compression artifacts, particularly the blocking artifacts, ringing effects and blurring… Expand
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Highly Cited
2013
Highly Cited
2013
A fast and optimized dehazing algorithm for hazy images and videos is proposed in this work. Based on the observation that a hazy… Expand
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Highly Cited
2012
Highly Cited
2012
In this paper, we propose a forensic algorithm to discriminate between original and forged regions in JPEG images, under the… Expand
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Highly Cited
2011
Highly Cited
2011
We present a new image editing method, particularly effective for sharpening major edges by increasing the steepness of… Expand
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Highly Cited
2001
Highly Cited
2001
This article focuses on the compressed representations of pictures. The representation does not affect how many bits get from the… Expand
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