Adaptive hybrid coding of digital images
Keywords:
linear transformation, transformant, zigzag scanning of coefficient arrays, efficient coding, hybrid codingAbstract
Existing and proposed algorithms for lossless encoding of arrays of non-principal coefficients of transforms formed as a result of discrete cosine transformation of 8x8 fragments corresponding to the brightness and chrominance components of digital color images are presented. The proposed algorithm involves efficient lossless encoding of a two-dimensional array of non-principal coefficients of transforms using zigzag - vertical scanning in addition to the existing zigzag-horizontal scanning, selecting the best one from them in terms of efficient encoding, and encoding the scanned one-dimensional data sequences with variable-length Huffman codes.
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1) Gogberashvili M. Variants of scanning a two-dimensional data array. – Tbilisi, GTU, “Education” №1 (4), 2012, pp. 240-244.
2) D. Salomon. Compression of data, images and sound. - М., Техносфера, 2004. - 368 c.
3) J. Khuntsaria, M. Gogberashvili, L. Khuntsaria, V. Abuladze. Adaptive entropic coding of the array of principal coefficients of the discrete cosine transform. – Tbilisi, GTU Proceedings No. 2 (496), 2015, pp. 67-76.
4) 4 . Khuntsaria Dzh. М., Хирянов Ю. A., Khuntsaria L.Dzh. Compression of images on the example standard JPEG. – Tbilisi, GESJ: Computer Science and Telecommunications, N4 (27) , 2010, c. 76-85.
5) JPEG digital compression and coding of continuous-tone still images. ISO 10918. 1991.
6) Bernard Sklar. Digital Communications: Fundamentals and applications. Second Edition. Communications Engineering Services, Tarzana, California and University of California, Los Angeles. Prentice Hall PT R. Upper Saddle River, New Jersey 07458.
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