熵与视觉

摘要：

在矢量量化中，用于构造码本的矢量的数量总是一个未定义的问题，在矢量的数量和压缩期间丢失的信息量之间总是存在折衷。在本文中，我们提出了一个最小熵的原则，给出了解决这一妥协，并代表了熵的观点，信号压缩一般。此外，我们提出了一种新的自适应对象量化技术，是相同的压缩和感知。

英文摘要：

In vector quantization the number of vectors used to construct the codebook is always an undefined problem, there is always a compromise between the number of vectors and the quantity of information lost during the compression. In this text we present a minimum of Entropy principle that gives solution to this compromise and represents an Entropy point of view of signal compression in general. Also we present a new adaptive Object Quantization technique that is the same for the compression and the perception.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。