Evolving Optimized Forward and Reverse Transforms using Genetic Algorithms on a Supercomputer
نویسنده
چکیده
The use of digital images is increasing all the time in personal digital photography, medical imaging, and fingerprint image databases. The goal of this research is to improve the image quality of a given compressed digital image while maintaining the same file size of the image. Wavelet based image compression is improved upon by using Genetic Algorithms on a supercomputer to evolve transforms that have better image quality after image compression.
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