Article
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Fuzzy Transform Image Compression in the YUV Space
Version 1
: Received: 12 September 2023 / Approved: 13 September 2023 / Online: 14 September 2023 (09:08:57 CEST)
A peer-reviewed article of this Preprint also exists.
Cardone, B.; Di Martino, F.; Sessa, S. Fuzzy Transform Image Compression in the YUV Space. Computation 2023, 11, 191. Cardone, B.; Di Martino, F.; Sessa, S. Fuzzy Transform Image Compression in the YUV Space. Computation 2023, 11, 191.
Abstract
Abstract: The two-dimensional Fuzzy Transform was applied in image compression. The quality of the image compressed with this methodis better than that obtained using methods based on fuzzy relation equations and comparable with that of the JPEG method, with better compression execution times. In this paper we propose a variation of the method based on the two-dimensional Fuzzy Transform of image compression, in which the image is first partitioned into blocks and then each block is compressed with the higher compression rate. The advantage of this method consistsinto a greater compression of the image, guaranteeing a high quality of the reconstructed image.The results show that our method is better than the Fuzzy Transform method improving also the quality of the reconstructed image.
Keywords
F-transform; F1-transform; color image compression; RGB space; YUV space.
Subject
Computer Science and Mathematics, Computer Science
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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