Block matching algorithm using a genetic algorithm

In Kwon Kim; Rae-Hong Park

doi:10.1117/12.206690

21 April 1995 Block matching algorithm using a genetic algorithm

In Kwon Kim, Rae-Hong Park

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206690
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

Abstract

In this paper, we propose a block matching algorithm (BMA) using a genetic algorithm. The genetic algorithm was inspired by an information processing scheme which is used by nature. To use the genetic algorithm in 2D block matching, we encode, based on a quad-tree structure, the phenotype representing a motion vector, i.e., the genotype is represented by four symbol strings. The probability of mutation is differently set for each position in a symbol string. Computer simulation results show that we can have the peak signal to noise ratio (PSNR) of the proposed genetic-based BMA comparable to that of the three step search (TSS) or full search (FS) by varying the number of search points.

Citation Download Citation

In Kwon Kim and Rae-Hong Park "Block matching algorithm using a genetic algorithm", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206690

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