基于GF(2/sup 8/)元胞自动机的图像在线解压缩VLSI结构

K. Paul, P. Dutta, D. R. Chowdhury, P. Nandi, P. P. Chaudhuri
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引用次数: 0

摘要

提出了一种新的灰度图像数据快速解压缩方案。这项工作的主要动机之一是发展一种方案来支持图像数据文件的在线解压缩。解压缩硬件块的吞吐量已被证明支持图像数据的在线解压缩。实验结果表明,该算法在获得较好的压缩比和可接受的主客观图像保真度的前提下,对图像进行了压缩。
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A VLSI architecture for on-line image decompression using GF(2/sup 8/) cellular automata
A novel scheme for fast decompression of grey level image data has been presented in this paper. One of the major motivations for this work is to evolve a scheme to support on-line decompression of image data files. The throughput of the decompression hardware block has been shown to support on-line decompression of image data. The results presented in this paper show that the algorithm for decompression achieves good compression ratio as well as acceptable subjective and objective image fidelity.
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