Wide-activated Deep Residual Networks based Restoration for BPG-compressed Images

Yuchen Fan, Jiahui Yu, Thomas S. Huang; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018, pp. 2621-2624

Abstract


We investigate a simple pipeline to achieve high-quality image compression under very low bit-rate. The pipeline is a stack of BPG image compression and deep network based restoration. Wide-activated deep residual networks from recent advances in image super-resolution are adopted for image restoration. Experiments demonstrate that the pipeline significantly reduces the quantity loss and remove visual artifacts for compressed images.

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[bibtex]
@InProceedings{Fan_2018_CVPR_Workshops,
author = {Fan, Yuchen and Yu, Jiahui and Huang, Thomas S.},
title = {Wide-activated Deep Residual Networks based Restoration for BPG-compressed Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}