Reed-muller transform image coding

Abstract A new technique using the Reed-Muller transform has been applied for image data bandwidth compression. The basic concept wad derived from the Reed-Muller canonical expansion of boolean functiona. The transform over Galois field 2 was investigated in this work. A fast algorithms has been developed for the computation of the Reed-Muller transform. Simulation results indicate that the Reed-Muller transform provides good quality reconstructed images with approximately 2.5 bits per pixel for monochrome images. The computational efficiency and simple hardware realization of this transform might make it a viable candidate for certain real time image data compression applications.