Abstract
The article presents a theoretical generalization and development of one of the possible solutions to the problem of developing a method for adaptive image compression, which ensures the fulfillment of the requirement for the efficiency of processing and transmission of information in real time at an acceptable level of distortion of the reconstructed image. A method for assessing the degree of saturation of images has been developed, based on taking into account the global and local sensitivity of the basic functions of the Haar transformation using the energy index when analyzing the image transformant, which makes it possible to estimate the degree of saturation of the image of the earth's surface with small details from the energy distribution for different images by zonal sequences.
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Vychuzhanin, V., Rudnichenko, N., Bercov, Y., Levchenko, A., Vychuzhanin, A. (2022). Digital Image Processing for Remote Sensing of the Earth’s Surface. In: Yaseen, S.G. (eds) Digital Economy, Business Analytics, and Big Data Analytics Applications. Studies in Computational Intelligence, vol 1010. Springer, Cham. https://doi.org/10.1007/978-3-031-05258-3_1
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DOI: https://doi.org/10.1007/978-3-031-05258-3_1
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