CREW:压缩与可逆嵌入小波

A. Zandi, James D. Allen, E. L. Schwartz, M. Boliek
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引用次数: 254

摘要

可逆嵌入小波压缩(CREW)是一种统一的无损和有损连续色调静止图像压缩系统。它是基于小波的,使用最好的小波滤波器之一的“可逆”近似。可逆小波是一种非线性四舍五入的线性滤波器,它以最小精度的整数运算实现精确重构系统。小波系数以位重要性嵌入顺序编码,允许通过简单地截断压缩数据进行有损压缩。对于系数的编码,CREW使用了一种类似于J. Shapiro(1993)的零树方法,以及一种全新的称为Horizon的方法。水平编码是一种基于上下文的编码,它利用了小波域中可用的空间和频谱信息。CREW提供最先进的医学图像无损压缩(大于8位深度),以及单个系统对8位深度图像的有损和无损压缩。CREW具有合理的软硬件实现。
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CREW: Compression with Reversible Embedded Wavelets
Compression with Reversible Embedded Wavelets (CREW) is a unified lossless and lossy continuous tone still image compression system. It is wavelet based using a "reversible" approximation of one of the best wavelet filters. Reversible wavelets are linear filters with non linear rounding which implement exact reconstruction systems with minimal precision integer arithmetic. Wavelet coefficients are encoded in a bit significance embedded order, allowing lossy compression by simply truncating the compressed data. For coding of coefficients, CREW uses a method similar to J. Shapiro's (1993) zero tree, and a completely novel method called Horizon. Horizon coding is a context based coding that takes advantage of the spatial and spectral information available in the wavelet domain. CREW provides state of the art lossless compression of medical images (greater than 8 bits deep), and lossy and lossless compression of 8 bit deep images with a single system. CREW has reasonable software and hardware implementations.
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