Optical flow based DC surface compensation for artifacts reduction

Xin Jin, Satoshi Goto, King Ngi Ngan

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

1 Citation (Scopus)

Abstract

The block-based prediction, transform and quantization reduce the redundancy in video data efficiently. However, the blocking artifacts are introduced because of quantization error and prediction scheme. Even if the de-blocking filter is applied like that designed in H.264 and AVS, the blocking artifacts are still visible especially in videos with smooth area coded at low bit-rate. In this paper, an optical flow based technique is proposed to further reduce the blocking artifacts by compensating the DC surfaces of the decoded images using joint optimization of optical flow and edge difference. The proposed algorithm automatically classifies the macroblocks in the decoded images according to their texture feature and endures the smooth area with smooth brightness variation by minimizing the joint function of optical flow magnitude and edge smoothness. It produces a more pleasing image without over-filtering, which can be further applied as an in loop filter for video coding.

Original languageEnglish
Title of host publication2009 Picture Coding Symposium, PCS 2009
DOIs
Publication statusPublished - 2009
Event2009 Picture Coding Symposium, PCS 2009 - Chicago, IL
Duration: 2009 May 62009 May 8

Other

Other2009 Picture Coding Symposium, PCS 2009
CityChicago, IL
Period09/5/609/5/8

Keywords

  • Artifacts reduction
  • DC surface compensation
  • Edge smoothness control
  • Optical flow optimization

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Software

Fingerprint Dive into the research topics of 'Optical flow based DC surface compensation for artifacts reduction'. Together they form a unique fingerprint.

  • Cite this

    Jin, X., Goto, S., & Ngan, K. N. (2009). Optical flow based DC surface compensation for artifacts reduction. In 2009 Picture Coding Symposium, PCS 2009 [5167414] https://doi.org/10.1109/PCS.2009.5167414