Using the pixel information value parameter in an entropy image analysis criterion

Abstract

The work is devoted to the development and research of the entropy criterion of image analysis on its corresponding to the method of RLE-compression. The Lab color model and the CIEDE1976 color estimation metric have been analyzed. The pixel information importance parameter has been introduced, which is based on the above described metric and allows us to estimate the importance of the adjacent pixel taking into consideration the information it introduces in relation to the previous pixel. The modified entropy image analysis criterion has been developed taking into account the pixel’s information importance parameter. The adequacy of the proposed criterion has been checked on the sample of standard test images and the feasibility of its use has been proved.