Probabilistic compression artifacts reduction using self-similarity based noise region estimation

Oh Young Lee, Je Ho Ryu, Jong-Ok Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

During compression artifact reduction process, original information as well as noise has been commonly removed, and this side effect should be importantly considered. In this paper, we propose a novel post-processing approach to alleviate the side effect of noise reduction while still reducing compression artifacts successfully. After compression artifact removal using conventional methods, we examine whether the denoised region is actually noisy or not, exploiting the relationship between noisy image and artifact reduced image. Then, the probability of a pixel to be noisy is calculated based on the noise region estimation, and a final denoised pixel is obtained by a weighted average between noisy and denoised signals with the probability. Experimental results show that the proposed method is more effective in preserving texture region while still reducing the compression noise.

Original languageEnglish
Title of host publication2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages784-788
Number of pages5
ISBN (Electronic)9789881476807
DOIs
Publication statusPublished - 2016 Feb 19
Event2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015 - Hong Kong, Hong Kong
Duration: 2015 Dec 162015 Dec 19

Other

Other2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
CountryHong Kong
CityHong Kong
Period15/12/1615/12/19

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Keywords

  • Compression Artifact Reduction
  • Noise Region Estimation
  • Probabilistic Noise Removal
  • Self-Similarity

ASJC Scopus subject areas

  • Artificial Intelligence
  • Modelling and Simulation
  • Signal Processing

Cite this

Lee, O. Y., Ryu, J. H., & Kim, J-O. (2016). Probabilistic compression artifacts reduction using self-similarity based noise region estimation. In 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015 (pp. 784-788). [7415379] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPA.2015.7415379