Development of mathematical and software solutions for image comparison

E.N. Antonyants, D.A. Matveev, M.A. Kireenko, A.A. Aletdinova

Abstract


This article discusses image comparison methods, with an emphasis on traditional approaches such as the use of image hashes, color difference analysis using the ΔE metric and color histograms, as well as more complex methods, including the use of color spaces and the CIEDE2000 metric. Evaluating color differences using the CIEDE2000 formula, which takes into account human perception of color, provides more accurate information about differences between images, which is important for a number of applied tasks such as quality control of printed products, duplicate image search and visual content analysis. As part of the work, software has been developed that allows analyzing color deviations using perspective transformations and calculating the CIEDE2000 metric. The algorithm implements an effective approach to localize deviations in images, which significantly improves the accuracy and visibility of the results. With the help of heat maps, it is possible to visualize differences, which helps to identify problem areas and errors faster. The conducted research has shown that the proposed method surpasses traditional approaches in accuracy and allows for a more detailed analysis of images, especially in cases where they have been subjected to geometric distortions. Software testing was carried out using the example of various types of images such as printed products and digital copies. It can be argued that the developed program is a valuable tool in the field of image processing.


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References


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