Blurred image restoration based on synergetic pattern recognition

Dingguo Chen; Jun Gao; Menxian Pan; Dong Liang

doi:10.1117/12.441498

20 September 2001 Blurred image restoration based on synergetic pattern recognition

Dingguo Chen, Jun Gao, Menxian Pan, Dong Liang

Proceedings Volume 4552, Image Matching and Analysis; (2001) https://doi.org/10.1117/12.441498
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

The POCS method was original developed in 1960's. It is applied in many fields such as: image processing, signal recovery and optics. The POCS method allows us to incorporate into iteration scheme available information about the experimental data and the measurement error as well as priori constraints based on physical reasoning. It is important to note that the POCS-method doesn't lead to a unique `optimum' solution. The next step to projection is to find a optimal method within a `solution space'. Based on synergetic theory founded by Haken in 1970's, this optimal problem can be resolved by synergetic pattern recognition procedure. In our paper, we propose a synergetic pattern recognition approach to accomplish the optimal processing.

Citation Download Citation

Dingguo Chen, Jun Gao, Menxian Pan, and Dong Liang "Blurred image restoration based on synergetic pattern recognition", Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); https://doi.org/10.1117/12.441498

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