Evolving Next Generation Signal Compression and Reconstruction Transforms via Genetic Algorithms

Ongoing research has established a new methodology for using genetic algorithms [2] to evolve forward and inverse transforms that significantly reduce quantization error in reconstructed signals and images. The approach promises to revolutionize the signal and image processing field, producing both higher quality images and higher compression ratios than is currently possible with wavelet-based techniques. Categories and Subject Descriptor