SYSTEM AND METHOD FOR IMAGE REGULARIZATION IN INHOMOGENEOUS ENVIRONMENTS USING CLUSTERING IN NEURAL NETWORKS

摘要

A regularization system and method for image restoration in homogeneous or inhomogeneous environments. The system and method includes features similar to a neural network with intermediate levels of structure including a pixel (104) having processing capabilities; clusters of interconnected pixels (106); and an image space comprised of a plurality of interconnected pixels and clusters (108). The system and method also includes means for assigning a regularization parameter to each pixel depending on the local variance of intensity of pixels (110); decomposing the image space into clusters of pixels, each cluster having the same regularization parameter; imposing a blurring function on each pixel forming a regularized image by local and global encoding of a regularization matrix onto each pixel directed through a process of gradient energy decent (116); and means of assessing the output image (122).