Computer Vision
 
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JPEG Artifact Correction

12 papers with code • 26 benchmarks • 5 datasets

Correction of visual artifacts caused by JPEG compression, these artifacts are usually grouped into three types: blocking, blurring, and ringing. They are caused by quantization and removal of high frequency DCT coefficients.

Datasets

Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections

titu1994/Image-Super-Resolution • • 29 Jun 2016

In this work, we propose a very deep fully convolutional auto-encoder network for image restoration, which is a encoding-decoding framework with symmetric convolutional-deconvolutional layers.

826
29 Jun 2016
Paper
Code

Compression Artifacts Reduction by a Deep Convolutional Network

ryanxingql/powerqe • • ICCV 2015

Lossy compression introduces complex compression artifacts, particularly the blocking artifacts, ringing effects and blurring.

45
27 Apr 2015
Paper
Code
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