可变码本条目的在线自适应矢量量化

C. Constantinescu, J. Storer
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引用次数: 22

摘要

一种新的图像压缩算法采用了一些最成功的自适应无损压缩方法来执行自适应在线(单次)矢量量化。作者已经用大量标准测试图像(例如灰度杂志图像、医学图像、空间和科学图像、指纹图像和手写图像)测试了该算法,并且在没有数据或训练的先验知识的情况下,对于给定的保真度,所实现的压缩通常等于或超过JPEG标准。唯一必须事先指定的信息是保真度标准
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On-line adaptive vector quantization with variable size codebook entries
A new image compression algorithm employs some of the most successful approaches to adaptive lossless compression to perform adaptive on-line (single pass) vector quantization. The authors have tested this algorithm with a host of standard test images (e.g. gray scale magazine images, medical images, space and scientific images, fingerprint images, and handwriting images) and with no prior knowledge of the data or training, for a given fidelity the compression achieved typically equals or exceeds that of the JPEG standard. The only information that must be specified in advance is the fidelity criterion.<>
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