Classification-based adaptive regularization for fast deblocking
Tae Y. Kim, Sang K. Lee, Joonki Paik, Yo‐Sung Ho · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
In this paper we propose an iterative image restoration method using block edge classification for reducing block artifact in compressed images. In order to efficiently reduce block artifacts, a block is classified as edge or non-edge block, and the adaptive regularized iterative restoration method is used. The proposed restoration method is based on the observation that the quantization operation in a series of coding preprocess is a nonlinear and many-to-one mapping operator. And then we propose an adaptive iterative image restoration algorithm for removing the nonlinear and space- varying degradation. With some minor modifications the proposed image restoration method can be used for postprocessing reconstructed image sequences in HDTV, DVD, or video conferencing systems.