基于对偶树复小波变换的低比特率图像编码

N. Ahmad, Z. Jaffery, Deependra Sharma
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引用次数: 1

摘要

互联网上多媒体应用的迅速发展给现有的硬件系统在有限带宽信道上的信息传输和检索带来了很大的压力。对于处理海量多媒体应用数据,图像编码是一种可行的解决方案。提出了基于对偶树复小波变换(DT-CWT)的图像编码方案。DT-CWT利用方向性和平移不变性将像素能量压缩到几个小波系数中。使用简单的嵌入式块截断编码方案(EBCOT)对变换系数进行编码,实验结果表明,在低比特率下,特别是对于具有强方向性特征的图像,其率失真结果优于最先进的JPEG 2000标准
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Low Bitrate Image Coding based on Dual Tree Complex Wavelet Transform
The rapid growth in Multimedia application over the Internet has put considerable pressure on existing hardware system for information transmission and retrieval over the bandlimited channel. To deal with huge data volume of multimedia application, image coding is a viable solution. This paper proposed image coding scheme based on dual tree complex wavelet transform (DT-CWT). DT-CWT exploit the directionality and shift invariant property to compact the pixel energy in few wavelet coefficients. The transform coefficients are encoded using simple Embedded Block truncation coding scheme (EBCOT) and experiment results demonstrates that the rate-distortion results outperforms to the state-of-the art JPEG 2000 standard at low bit-rate, particularly for images with strong directional features
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