Deep Multi-Scale Residual Learning-based Blocking Artifacts Reduction for Compressed Images

Min Hui Lin, Chia Hung Yeh, Chu Han Lin, Chih Hsiang Huang, Li Wei Kang

研究成果: 書貢獻/報告類型會議論文篇章

4 引文 斯高帕斯(Scopus)

摘要

Blocking artifact, characterized by visually noticeable changes in pixel values along block boundaries, is a general problem in block-based image/video compression systems. Various post-processing techniques have been proposed to reduce blocking artifacts, but most of them usually introduce excessive blurring or ringing effects. This paper presents a deep learning-based compression artifacts reduction (or deblocking) framework relying on multi-scale residual learning. Recent popular approaches usually train deep models using a per-pixel loss function with explicit image priors for directly producing deblocked images. Instead, we formulate the problem as learning the residuals (or the artifacts) between original and the corresponding compressed images. In our deep model, each input image is down-scaled first with blocking artifacts naturally reduced. Then, the learned SR (super-resolution) convolutional neural network (CNN) will be used to up-sample the down-scaled version. Finally, the up-scaled version (with less artifacts) and the original input are fed into the learned artifact prediction CNN to obtain the estimated blocking artifacts. As a result, the blocking artifacts can be successfully removed by subtracting the predicted artifacts from the input image while preserving most original visual details.

原文英語
主出版物標題Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面18-19
頁數2
ISBN(電子)9781538678848
DOIs
出版狀態已發佈 - 2019 三月
事件1st IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019 - Hsinchu, 臺灣
持續時間: 2019 三月 182019 三月 20

出版系列

名字Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019

會議

會議1st IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019
國家/地區臺灣
城市Hsinchu
期間2019/03/182019/03/20

ASJC Scopus subject areas

  • 人工智慧
  • 硬體和架構
  • 電氣與電子工程

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