This paper attempts to undertake the study of Restored Average Blurred Images. by using three types of techniques of deblurring image as Wiener filter, Regularized filter and Lucy Richardson deconvlutoin algorithm with an information of the Point Spread Function (PSF) corrupted blurred image with Different values of radius 10,15,20,25,30,35,40 and 45 and then corrupted by Gaussian noise. The same is applied to the remote sensing image and they are compared with one another so as to choose the base technique for restored or deblurring image. This paper also attempts to undertake the study of restored circular average blurred image or disk blurred with no any information about the Point Spread Function (PSF) by using blind deconvlution algorithm to execute the guess of the PSF, the number of iterations and the weight threshold of it to choose the base guesses for restored or deblurring image of this technique.