分形图像压缩采用快速上下文无关HV分割方案和MRBH、MRBHM编码

U. Nandi, J. K. Mandal
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引用次数: 3

摘要

本文通过对分形压缩图像应用无损数据压缩技术,提高了快速上下文无关HV分割(FCI-HV)方案的分形图像压缩性能和快速低上下文相关HV分割(FLCD-HV)方案的分形图像压缩性能。利用改进的基于区域的霍夫曼编码交换技术(MRBH)及其变体的基于区域的霍夫曼多重码交换技术(MRBHM),将分形压缩图像编码为最终压缩图像,并将分形压缩图像解码为最终压缩图像。确定了不同图像的压缩比、峰值信噪比(PSNR)和压缩时间。结果表明,所提出的技术能够很好地保持图像的psnr,从而显著提高压缩比。但是,拟议的技术比同类技术慢。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fractal image compression using Fast Context Independent HV partitioning scheme and MRBH, MRBHM coding
In this paper, the performance in terms of compression rates of fractal image compression using Fast Context Independent HV partitioning (FCI-HV) scheme and its variant fractal image compression using Fast Low Context Dependent HV partitioning (FLCD-HV) scheme are improved by applying loss-less data compression techniques on the fractal compressed image. By using loss-less data compression techniques Modified Region Based Huffman with code interchange (MRBH) and its variant Modified Region Based Huffman with multiple interchanging of code (MRBHM), encoding of fractal compressed image into final compressed image and decoding of the final compressed image from fractal compressed image are done. The compression ratio, Peak Signal to Noise Ratio (PSNR) and compression time are determined for different images. The results show that significant improvement in the compression ratios are achieved in the proposed techniques maintaining PSNRs of images well. But, the proposed techniques are slow than its counterparts.
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