DocumentCode :
2170322
Title :
Identification of the best quantization table using genetic algorithms
Author :
Costa, Leonardo Faria ; Veiga, Antônio Cláudio Paschoarelli
Author_Institution :
Dept. of Electr. Eng., Uberlandia Univ., Brazil
fYear :
2005
fDate :
24-26 Aug. 2005
Firstpage :
570
Lastpage :
573
Abstract :
We present a model for generating a robust JPEG quantization table using the techniques of genetic algorithms at the JPEG image compression process. After several experiments over a range of generations, the final quantization table was obtained. The detection of the best quantization table (Q-table) using genetic algorithms with the JPEG standard is a great tool to obtain the desired quality of recovered image. This method compares the SNR of the quantization tables created during the process, and choose the one with the higher SNR for a group of natural images by the natural selection, the program also give conditions to change anytime the parameters of the program to produce better results.
Keywords :
data compression; genetic algorithms; image coding; JPEG image compression process; JPEG quantization; SNR; genetic algorithms; quantization table identification; Costs; Discrete cosine transforms; Genetic algorithms; Image coding; Image quality; Maximum likelihood estimation; Quantization; Robustness; Standards development; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Computers and signal Processing, 2005. PACRIM. 2005 IEEE Pacific Rim Conference on
Print_ISBN :
0-7803-9195-0
Type :
conf
DOI :
10.1109/PACRIM.2005.1517353
Filename :
1517353
Link To Document :
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