An integer associative memory for gray-scale images

This study proposes a novel autoassociator for associative storage of gray scale images. An autoassociator is a system capable of producing a complete pattern, when it is presented part of a learned pattern. Patterns in the proposed associative architecture are gray scale images with integer values. The system proposed here is superior to existing techniques using binary neural networks for associative storage of gray scale images in both the computational complexity and the processing unit requirements. The proposed system is parallel in nature and can be implemented using a synchronous or asynchronous parallel system with no added complexity