Abstract
The article is devoted to the transformation of digital images based on their adaptive compression during processing and transmission in real time. To meet the requirements for the efficiency of processing and transmission of digital images when implementing compression methods, it is proposed to carry out an orthogonal transformation of the original image. A technique is proposed for compressing digital images in real time based on their adaptive compression, based on taking into account the sensitivity of the basic functions of the Haar transform. The development and application of the method of adaptive compression of digital images will ensure the fulfillment of the requirements for high-quality processing and transmission of digital video information in real time.
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Rudnichenko, N., Vychuzhanin, V., Vychuzhanin, A., Bercov, Y., Levchenko, A., Otradskya, T. (2022). Adaptive Digital Image Compression. 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_5
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DOI: https://doi.org/10.1007/978-3-031-05258-3_5
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