An Image Coding combines H.264 standard and Contourlet Transform

Zhenghua-Shu, Guodong-Liu, Lixin-Gan, Lin-zhang, Shengqian-Wang
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Abstract

In this paper, we proposes A type Image Coding which is an experimental still image compression system that combines intra frame block prediction algorithms from the H.264 standard and Wavelet-Based Contourlet Transform(WBCT) with SPIHT image compression technology, followed by context adaptive binary arithmetic coding (CABAC) as used in H.264. The image compression algorithm using Wavelet-Based Contourlet Transform(WBCT) with modified SPIHT can effectively code image with more discontinuities along curve lines. Predicted image is subtracted from original image to give residual image, residual image has lots of discontinuous curve lines, it is typically 2-dimensional and curve singularities image. The result of the image coding compression scheme perform is much better than JPEG and AIC and almost is the same with JPEG-2000.
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一种结合H.264标准和Contourlet变换的图像编码方法
本文提出了A型图像编码,这是一种实验性的静态图像压缩系统,它结合了H.264标准的帧内块预测算法和基于小波的Contourlet变换(WBCT)和SPIHT图像压缩技术,然后是H.264中使用的上下文自适应二进制算术编码(CABAC)。采用改进SPIHT的基于小波的Contourlet变换(WBCT)图像压缩算法可以有效地对曲线上不连续点较多的图像进行编码。预测图像与原始图像相减得到残差图像,残差图像有许多不连续的曲线,是典型的二维和曲线奇点图像。该图像编码压缩方案的性能远优于JPEG和AIC,与JPEG-2000的性能基本一致。
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