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Abstract
Nowadays, we need to compress and decompress many types of images such as natural, PC integrated, medical ones ... Depending on the characteristic of images, PSNR values can vary up to 30 dB with the same lossy coder. How to establish a new relationship between the features of different types of images and the lossy coding performance PSNR? In this paper, we introduce some measures of image characteristic which are called CI (characteristic of image) and build a mathematical function of the relationship between CI and PSNR.
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Article Details
Issue: Vol 5 No 11 (2002)
Page No.: 48-56
Published: Nov 30, 2002
Section: Article
DOI: https://doi.org/10.32508/stdj.v5i11.3457
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Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Quang Tuan, L., Dinh Thanh, V., & Kim Sach, N. (2002). THE NEW RELATIONSHIP BETWEEN IMAGE FEATURES AND LOSSY CODING PERFORMANCE. Science and Technology Development Journal, 5(11), 48-56. https://doi.org/https://doi.org/10.32508/stdj.v5i11.3457
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