VISUAL PATTERN IMAGE CODING BY A MORPHOLOGICAL APPROACH

作者： Shahid Bahonar , S. Saryazdi , V. Haese-Coat , J. Ronsin

DOI:

关键词: Image coding 、 Compression ratio 、 Scheme (programming language) 、 Computer vision 、 Noise (video) 、 Approximation error 、 Artificial intelligence 、 Minification 、 Pattern recognition 、 Visual patterns 、 Image quality 、 Mathematics

摘要: This paper presents an improvement of the Visual Pattern image coding (VPIC) scheme presented by Chen and Bovik in (2) (3). The patterns this improved are defined morphological operations classified absolute error minimization. identifies more uniform blocks reduces noise effect. Therefore, it improves compression ratio quality is steel preserved. To achieve a better ratio, hierarchical approach based on merging also described. Experimental results show that provides higher ratios compared to ordinary VPIC.

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VISUAL PATTERN IMAGE CODING BY A MORPHOLOGICAL APPROACH

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VISUAL PATTERN IMAGE CODING BY A MORPHOLOGICAL APPROACH

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