We intend to point out the interest in using Zipf law in wide field of image analysis. We will show how it is possible to adapt it to image analysis. There are many applications; here we are concerned with the image compression field and we are more particulary 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 will be presented. Then some significant compresions can be achieved between different images. A ststistical study of the patterns present in the image allows a characterization of the information contained in the images so that a measurement of information modification is made possible. We define two quantitative parameters, on indicates the structure of the image whereas the second indicates high content information. The example of the image of a landscape is used to illustrate the influence of the compression rate.
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