Lossy Lempel-Ziv algorithm for large alphabet sources and applications to image compression

W. Finamore, Marcelo de A. Leister
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引用次数: 8

Abstract

Two practical lossy Lempel-Ziv schemes are proposed in this paper. The schemes are suitable for compression of sources with large alphabet cardinality. Computer simulation results obtained by compressing the output of a Gaussian source revealed a performance comparable to the performance of scalar quantization followed by entropy coding. Compression of DCT transformed and subband decomposed images showed a performance close to the performance of JPEG compressed images.
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大型字母源的有损Lempel-Ziv算法及其在图像压缩中的应用
本文提出了两种实用的有损Lempel-Ziv格式。该方案适用于具有较大字母基数的源的压缩。通过压缩高斯源的输出得到的计算机模拟结果表明,其性能与标量量化后进行熵编码的性能相当。对DCT变换和子带分解后的图像进行压缩,其压缩性能接近JPEG压缩图像的压缩性能。
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