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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Region oriented compression of color images using fuzzy inference and fast merging
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Region oriented compression of color images using fuzzy inference and fast merging

机译:使用模糊推理和快速合并的彩色图像区域定位压缩

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摘要

A new region based lossy compression scheme for color images is proposed. The segmentation method belongs to the split and merge category. Splitting is carried out using the watershed transform. In the merging stage, a fuzzy color preserving rule-based system and a novel one-dimensional graph structure are introduced to provide accurate results with reduced computational complexity. The compression part is based on the Shape Adaptive DCT with DeltaDC correction method. The quantization matrices used have been designed according to the properties of the employed transform. Promising perceptual results for the low bit rate range compared to previously reported compression methods have also been reported. (C) 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved. [References: 37]
机译:提出了一种基于区域的彩色图像有损压缩方案。分割方法属于拆分和合并类别。使用分水岭变换进行分割。在合并阶段,引入了基于模糊颜色保留规则的系统和新颖的一维图结构,以提供准确的结果并降低了计算复杂性。压缩部分基于具有DeltaDC校正方法的形状自适应DCT。已经根据所采用的变换的性质设计了所使用的量化矩阵。与以前报告的压缩方法相比,低比特率范围的感知结果也令人鼓舞。 (C)2002模式识别学会。由Elsevier Science Ltd.出版。保留所有权利。 [参考:37]

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