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.
In this paper, an image compression method 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, and coding of the significant coefficients. The software implementation of the proposed method in a high-level language is described, which made it possible to reduce the volume of standard test halftone images by at least six times.
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