Morphological Associative Memories for Gray-Scale Image Encryption

Kernels for Morphological Associative Memories

1 Abstract The ability of human beings to retrieve information on the basis of associated cues continues to elicit great interest among researchers. Investigations of how the brain is capable to make such associations from partial information have led to a variety of theoretical neu-ral network models that act as associative memories. Recently, several researchers have had signiicant success in...

Associative morphological memories for spectral unmixing

Gray Level Image Encryption

The aim of this paper is image encryption using Genetic Algorithm (GA). The proposed encryption method consists of two phases. In modification phase, pixels locations are altered to reduce correlation among adjacent pixels. Then, pixels values are changed in the diffusion phase to encrypt the input image. Both phases are performed by GA with binary chromosomes. For modification phase, these bin...

Gray-Scale Morphological Operations

The choice and detailed design of structuring elements plays a pivotal role in the morphologic processing of images. A broad class of morphological operations can be expressed as an equivalent supremum of erosions by a minimal set of basis filters. Diverse morphological operations can then be expressed in a single, comparable framework. The set of basis filters are data-like structures, each fi...

Reformulating Distributed Associative Memories for Image Classification

The theoretical model of Distributed Associative Memories (DAMs) is reformulated by simple algebraic derivations that make the memory device practically applicable to high-dimensional, visual data processing. In particular, the analysis shows that the weight of both the computational cost for retrieval and the physical memory occupation can be reduced from N4 to N2, where N is the data dimensio...