Information loss recovery for block-based image coding techniques: a fuzzy logic approach

Xiaobing Lee; Ya-Qin Zhang; Alberto Leon-Garcia

doi:10.1117/12.157972

22 October 1993 Information loss recovery for block-based image coding techniques: a fuzzy logic approach

Xiaobing Lee, Ya-Qin Zhang, Alberto Leon-Garcia

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157972
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

Abstract

A new technique to recover the information loss in a block-based image coding system is developed in this paper. The proposed scheme is based on the fuzzy logic reasoning and can be divided into three main steps: (1) hierarchical compass interpolation/extrapolation in the spatial domain for initial recovery of lost blocks that mainly contain low-frequency information such as smooth background; (2) coarse spectra interpretation by fuzzy logic reasoning for recovery of lost blocks that contain high-frequency information such as complex textures and fine features; (3) sliding window iteration in both spatial and spectral domains to efficiently integrate the results obtained in step (1) and (2) such that optimal results can be achieved in terms of surface continuities on block boundaries and the established inference rules. The proposed method, suitable for recovering both isolated and contiguous block losses, provides a new approach for error concealment of block-based image coding systems such as the JPEG coding standard and vector quantization based coding algorithms. The principle of the proposed scheme can also be applied to block-based video compression schemes such as the H.261, MPEG, and HDTV standards. Simulation results are presented to illustrate the effectiveness of the proposed method.

Citation Download Citation

Xiaobing Lee, Ya-Qin Zhang, and Alberto Leon-Garcia "Information loss recovery for block-based image coding techniques: a fuzzy logic approach", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157972

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