A partitioned wavelet-based approach for image compression using FPGA's

Joerg Ritter, P. Molitor
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引用次数: 17

Abstract

Discrete wavelet transformations (DWT) followed by embedded zerotree encoding (EZT) is a very efficient technique for image compression. However, the algorithms proposed in the literature assume random access to the whole image. This makes the algorithms unsuitable for hardware solutions because of extensive access to external memory. Here, we introduce efficient FPGA hardware approaches for DWT for lossless and lossy image compression targeting the minimization of external memory accesses. In particular, the approaches allow both parallel wavelet transformation and parallel embedded zero tree encoding.
基于FPGA的分割小波图像压缩方法
离散小波变换(DWT)后嵌入零树编码(EZT)是一种非常有效的图像压缩技术。然而,在文献中提出的算法假设随机访问整个图像。这使得算法不适合硬件解决方案,因为需要大量访问外部存储器。在这里,我们介绍了用于无损和有损图像压缩的高效FPGA硬件方法,目标是最大限度地减少外部存储器访问。特别是,该方法允许并行小波变换和并行嵌入零树编码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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