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In this paper, an image analysis method for future compression based on a weight model was proposed, which allows one to estimate the significance of the detailing coefficients of the orthogonal multiple-scale wavelet transform in terms of their contribution to the total image energy. The method presupposes the decomposition of the original image into a given number of levels, construction of significance maps for the detailing coefficients of each level before coding of the significant coefficients.
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Stella A. Lyasheva, Oleg G. Morozov, Mikhail P. Shleymovich, "Weight model based image compression method, part I: image analysis," Proc. SPIE 11793, Optical Technologies for Telecommunications 2020, 1179312 (22 June 2021); https://doi.org/10.1117/12.2592830