Neural Approach for TV Image Compression Using a Hopfield Type Network
Martine Naillon, J. B. Theeten · 1988
A self-organizing Hopfield network has been developed in the context of Vector Ouantiza--tion, aiming at compression of television images. The metastable states of the spin glass-like network are used as an extra storage resource using the Minimal Overlap learning rule (Krauth and Mezard 1987) to optimize the organization of the attractors. The sel f-organi zi ng scheme that we have devised results in the generation of an adaptive codebook for any qiven TV image. I NTRODOCTI ON The ability of an Hopfield network (Little,1974;