Title :
VLSI implementation of genetic four-step search for block matching algorithm
Author :
Wu, Angus ; So, Sammy
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, China
Abstract :
Genetic algorithm is well known for searching global optimum. It has been demonstrated its capability for block motion estimation with performance close to exhaustive full search using fewer search steps. However, it is computational expensive. A genetic four-step search is developed to alleviate the problem. It has a mean square error performance close to full search and much computational efficient than the traditional genetic algorithm. A FPGA implementation of the proposed algorithm is realized. The architecture is simple and suitable for valuable applications in the development of low cost multimedia products.
Keywords :
VLSI; data compression; field programmable gate arrays; genetic algorithms; image coding; image matching; motion estimation; search problems; FPGA; VLSI; block matching algorithm; block motion estimation; genetic algorithm; genetic four-step search; mean square error; Computational efficiency; Computer architecture; Field programmable gate arrays; Genetic algorithms; Hardware; Mean square error methods; Motion estimation; Robustness; Transform coding; Very large scale integration;
Journal_Title :
Consumer Electronics, IEEE Transactions on
DOI :
10.1109/TCE.2003.1261256