Enhanced Cellular Automata for Image Noise Removal
نویسندگان
چکیده
Cellular Automata (CA) are a type of complex systems based on simple and uniformly interconnected cells. They provide an excellent method to perform complex computations in a simple way. CA can be used in image processing, because of the simplicity of mapping a digital image to a cellular automata and the ability of applying different image processing operations in real time. Noise removal is considered to be an important application of image processing; digital images can be corrupted by different types of noise during the image acquisition or transmission. In this paper we propose a CA model that deals with two types of noise: salt and pepper noise, and uniform noise. Our results show that the proposed model removes more noise, compared with previous models.
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