Recursive group coding for image DCT compression efficiency

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Nadejda Kozhemiakina
Vladimir Lukin
Nikolay Ponomarenko
Victoria Naumenko

Abstract

The problem of encoding information in order to eliminate its statistical redundancy has been considered. The most widespread techniques for lossless encoding are arithmetic and Huffman coding. One disadvantage of these methods is the lack of efficiency when encoding characters with extra-large alphabets. In this paper, the efficiency of image data compression with method of recursive group coding has been considered and compared to arithmetic and Huffman coding. It is shown that recursive group coding provides a sufficient gain in compression compared to aforementioned methods.


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How to Cite
Kozhemiakina, N., Lukin, V., Ponomarenko, N., & Naumenko, V. (2021). Recursive group coding for image DCT compression efficiency. Technium: Romanian Journal of Applied Sciences and Technology, 3(1), 150–155. Retrieved from https://www.techniumscience.com.techniumscience.pluscommunication.eu/index.php/technium/article/view/2507
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Articles
Author Biographies

Nadejda Kozhemiakina, National Aerospace University «KhAI», Kharkiv, Ukraine

Assistant of Department of Information-communication technologies named after O. O. Zelensky, National Aerospace University "Kharkov Aviation Institute", Kharkov, Ukraine

Vladimir Lukin, National Aerospace University «KhAI», Kharkiv, Ukraine

Doctor of Science (Engineering), Professor, Head of Department of Information and Communication Technologies named after A. A. Zelensky, National Aerospace University "Kharkov Aviation Institute",Kharkov, Ukraine,

Nikolay Ponomarenko, National Aerospace University «KhAI», Kharkiv, Ukraine; Tampere University of Technology, Tampere, Finland

Doctor of Science (Engineering), Professor, Professor of Department of Information and Communication Technologies named after A. A. Zelensky, National Aerospace University "Kharkov Aviation Institute", Kharkov, Ukraine,

Victoria Naumenko, National Aerospace University «KhAI», Kharkiv, Ukraine

PhD of Technical Science, Associate Professor of Department of Information-communication technologies named after O. O. Zelensky, National Aerospace University "Kharkov Aviation Institute", Kharkov, Ukraine