1. A noise suppression method using multiple digital images, for performing a de-noising process with the multiple digital images, the method comprising: acquiring the multiple digital images; performing a first pixel compensation procedure on each of the digital images, the first pixel compensation procedure comprising: converting each original pixel in the digital image into a feature weighted pixel to form a feature weighted image; selecting one of the feature weighted pixels at a corresponding position in the feature weighted image as a datum pixel according to a position of a target pixel in the digital image, wherein the target pixel is one of all the original pixels in the digital image; computing a similarity degree of the datum pixel to each of the feature weighted pixels other than the datum pixel; selecting a feature weighted pixel for compensation from the other feature weighted pixels according to the similarity degrees of the datum pixel to the other feature weighted pixels; and compensating an image feature of the target pixel based on the corresponding similarity degree according to the original pixel the position of which corresponds to the position of the feature weighted pixel for compensation to obtain a first feature compensated pixel of the target pixel; and performing a second pixel compensation procedure on a comparison image from among the digital images, wherein the comparison image is one of the digital images, the second pixel compensation procedure comprising: computing a similarity degree of the comparison image to each of the digital images other than the comparison image; and performing a weighted averaging on the feature compensated pixel corresponding to the target pixel according to the similarity degrees of the comparison image to the other digital images, to obtain a second feature compensated pixel of the target pixel of the comparison image.