We intend to point out the interest in using Zipf law in the wide field of image anlaysis. We show how it is possible to adapt it to image anlaysis. There are many applications; here we are concerned with the image compression field and we are more particularly focusing on a new definition of a quality measurement of an image obtained after a decompression process. First we will propose a coding mode of an image using some neighborhood of each pixel and the Zipf law. Then some significnat comparisons can be achieved between different images. A statistical study of the patterns present in the image allows a characterization of the information contained in the image so that a measurement of information modification is made possible. We define two quantitative parameters; one indicates the structure of the image whereas the second indicates high content information. The examples of the images of a landscape and of a woman face are used to illustrate the influence of the compression rate.
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