Identification of the best quantization table using genetic algorithms

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.