Abstract: An image restoration algorithm based on the Mask technique is proposed to deal with the quality descend case of light decreasing around, asymmetry of intensity and hue, declination of contrast, image blur and noise etc. A Mask image is produced to simulate the image quality descend model with considering all the quality descend factors together. And a blocked Wallis transformation is applied to obtain the clear edge and best contrast to the Mask restoration image. The restoration experiments to three kinds of quality descending images show that the restoration technique based on the mask can remove the quality descending affection determined on the nature and position and realize image restoration without knowing the concrete quality descending function.