A Model of Quantization Table for Medic Images using Genetic Algorithms

L.F. Costa and A.C.P. Veiga (Brazil)


Genetic Algorithms (GA), Quantization Table (Q-Table), and Natural Selection.


In several situations, images are processed in JPEG standard with a Quantization Table without any knowledge of where does the coefficient come from, and there is little literature to produce a robust quantization table. The fidelity loss in JPEG coding occurs entirely in quantization [1], and it becomes very important to the compression/fidelity performance of JPEG coding. The proposal of this article is to generate a Quantization Table that is more robust for medical images using Genetic Algorithms method where the Signal Noise Relation and Median Quadratic Error are observed in each image as a parameter of the quality of the reconstructed image.

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