Real-time postprocessing technique for compression artifact reduction in low-bit-rate video coding

Mei-Yin Shen; C.-C. Jay Kuo

doi:10.1117/12.323192

1 October 1998 Real-time postprocessing technique for compression artifact reduction in low-bit-rate video coding

Mei-Yin Shen, C.-C. Jay Kuo

Proceedings Volume 3460, Applications of Digital Image Processing XXI; (1998) https://doi.org/10.1117/12.323192
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

Abstract

A computationally efficient postprocessing technique to reduce compression artifacts in low-bit-rate video coding is proposed in this research. We first formulate the artifact reduction problem as a robust estimation problem. Under this framework, the artifact-free image is obtained by minimizing a cost function that accounts for smoothness constraints as well as image fidelity. Instead of using the traditional approach that applies the gradient descent search for optimization, a set of nonlinear filters is proposed to determine the approximating global minimum to reduce the computational complexity so that real-time postprocessing is possible. We have performed experimental results on the H.263 codec and observed that the proposed method is effective in reducing severe blocking and ringing artifacts, while maintaining a low complexity and a low memory bandwidth.

Citation Download Citation

Mei-Yin Shen and C.-C. Jay Kuo "Real-time postprocessing technique for compression artifact reduction in low-bit-rate video coding", Proc. SPIE 3460, Applications of Digital Image Processing XXI, (1 October 1998); https://doi.org/10.1117/12.323192

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