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In general the digital image will be contaminated with noise. Retrieval of actual image by removing of noise is referred to as image denoising. The development of algorithms for image denoising is one of the most challenging task because removal of noise from the medical image should be done without destroying particular textures of image that are important for medical diagnosis and treatment. Recently, several denoising algorithms are proposed by many researchers in literature in order to preserve the important textures of medical images.

Produktbeschreibung
In general the digital image will be contaminated with noise. Retrieval of actual image by removing of noise is referred to as image denoising. The development of algorithms for image denoising is one of the most challenging task because removal of noise from the medical image should be done without destroying particular textures of image that are important for medical diagnosis and treatment. Recently, several denoising algorithms are proposed by many researchers in literature in order to preserve the important textures of medical images.