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Abstract: This paper presents Total Variation (TV) regularization has evolved from an image denoising method for images corrupted with Gaussian noise into a more general technique for inverse problems such as deblurring, blind deconvolution, and inpainting, which also encompasses the Impulse, Image is usually statistically corrupted with noise ,hence removal of the noise is another necessary objective of this paper. These ways are going to be applied to grey scale and RGB pictures. Compared to existing approaches, some enhancements are done .The inpainting of a rough version of the input image permits to scale back the machine complications, to be less vulnerable to noise and to figure with the dominant orientations of image structures.