coding image
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Wednesday, December 15, 2021 at 4:10 AM |
With a few modifications, we undertake the coding/interpreting approach of picture processing primarily based totally at the direct and inverse fuzzy transforms described in preceding papers. By normalizing the values of its pixels, any picture may be taken into consideration as a fuzzy matrix (relation) that is subdivided in submatrices (likely square) known as blocks. Each block is compressed with the method of the discrete fuzzy rework of a feature in variables and successively it's miles decompressed thru the associated inverse fuzzy rework. The decompressed blocks are recomposed for the reconstruction of the picture, whose excellent is evaluated with the aid of using calculating the PSNR (Peak Signal to Noise Ratio) with recognize to the authentic picture. A assessment with the coding/interpreting approach of picture processing primarily based totally at the fuzzy relation equations with the Lukasiewicz triangular norm and the DCT approach also are presented. By the use of the equal compression price withinside the 3 methods, the outcomes display that the PSNR received with the use of direct and inverse fuzzy transforms is better than the PSNR decided both with fuzzy relation equations approach or withinside the DCT one and it's miles near the PSNR decided in JPEG approach for small values of the compression price.