一种具有熟练分层场景的新型图像压缩架构

M. Kamran, S. A. Qureshi, Feng Shi, Yizhuo Wang, Yumin Xie
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引用次数: 2

摘要

本文提出的结构有效地完成了图像处理中所有必要的数据压缩操作。给定的行为架构不仅在算法上得到了验证,而且清晰地反映了阻碍数据传输高效运行的事实,并给出了适当的结果。此外,本文是并发压缩预编码器设计的延续,其中附加DCT编码器进行转换和压缩操作。在编码器中采用自适应霍夫曼编码方案来解决压缩问题。所提出的设计的最显著的特点是预编码器附件的编码器工作在任何格式,即JPEG或MPEG。在任何一种情况下,所获得的结果都是可靠的,并且在图像质量方面非常可观,即使在具有可变带宽的系统中也支持所提出的架构
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A Novel Image Compression Architecture with proficient Layered scenario
The architecture proposed in this paper performs all inevitable operations effectively to compress the data for image processing. The given behavioral architecture is not only verified algorithmically but also gave clear snapshot of the facts hindering in the efficient operation of data transfer with appropriate results. Moreover, this paper is the continuation of concurrent compression pre coder design to which DCT coders are to be appended for transformation and compression operation. The compression scenario is tackled in the coders by utilizing adaptive Huffman coding scheme. The most distinguishable characteristic of proposed design is the pre-coder attachment to the coders working in any format, i.e., JPEG or MPEG. In either case the results obtained are reliable and significantly appreciable with respect to image quality to support proposed architecture even in a system with variable band widths
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