A novel deringing method based on map image restoration

  • Authors:

  • Yannan Wu;Oscar C. Au;Enming Luo;Dennis Tu;Leo Yeung

  • Affiliations:

  • Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China;Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China;Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China;Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China;Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China

  • Venue:
  • ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
  • Year:
  • 2009

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Abstract

Long has it become a hot topic that reconstructing images of better visual quality from one or a serial of degraded ones. Although there are thousands of different restoration methods, in this paper, we focus on removing the ringing artifact caused by lossy video compression. Being a sort of restoration method, we choose the max-a-posterior(MAP) method to model this optimization problem. Quantification of the ringing artifacts serves as a prior information of the images. So it is also analyzed in this paper. The MAP optimization is further solved using a gradient decent solver. Although this is a quite classical method, there are still lots of problems with it. For settling them, we transform the solver to a filter format operation named iterative optimization filter. Experiments show that, such method could give an averaging 0.3dB gain and in special regions more than 0.7dB gain. What is more, as analyzed in this paper, the method is very preferable in terms of hardware implementation in several aspects.