Color image hybrid coding using correlation vectors and SPIHT Algorithm

Yutuo Chen, Yi Yu, Zhiru Yang
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引用次数: 1

Abstract

Paper presents a method for color image compression coding by using correlation vectors combined with SPIHT Algorithm. In this method, the Green component of a color image is coded using SPIHT Algorithm, and the other two components are segmented into multi-subregions by quadtree partitioning according to the non-correlation degree of three color components. Based on the calculated correlation vectors between three components in the same subregion, the coding for the other two components becomes the coding of correlation vectors. Experiment results show that this method is of high coding and decoding rates, and with quite good signal to noise ratio, compression rate and visual quality.
基于相关向量和SPIHT算法的彩色图像混合编码
提出了一种将相关向量与SPIHT算法相结合的彩色图像压缩编码方法。该方法利用SPIHT算法对彩色图像的Green分量进行编码,根据三个颜色分量的不相关程度,通过四叉树分割将其余两个分量分割成多个子区域。根据计算得到的同一子区域内三个分量之间的相关向量,对另外两个分量进行编码即为相关向量的编码。实验结果表明,该方法具有较高的编解码率,具有较好的信噪比、压缩率和视觉质量。
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