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Sensuous Assesment Function of Images Based on Local Entropy Flow

基于局部熵流的图像感官评价函数

基本信息

批准号：
60580026
负责人：
TANAKA Hatsukazu
金额：
$ 1.41万
依托单位：
Faculty of Engineering, Kobe University
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1985
资助国家：
日本
起止时间：
1985 至 1986
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-60580026/
关键词：
Images Local Entropy Flow Principle of Constant Entropy Entropy Filter 感覚的評価関数

项目摘要

The main object of this research is to define the sensuous assesment function of images using a new concept of local entropy flow, and to develop a new sensuous coding scheme of images. First, a new concept of local entropy flow is introduced, and its quantitative definition is applied to some artificial images. The obtained entropy flow is plotted by three dimensional representation from which the validity of the above definition is certified. Next, we define a new concept of entropy filter which controls the parameter of the conventional low pass filter for images according to each value of the local entropy flow. Then the entropy filter is applied to the set of standard images "SIDBA", and using the results the filtering property is studied in details. The most important result is that the amount of information in the filtered images is greatly decreased, but sensuous degradation is very few, and hence, if the entropy filter is applied as a preprocessor of vector quantization, a new coding scheme with very low rate but few sensuous degradation will become possible. Finally, the sensuous assesment function of images is defined being based on the local entropy flow, and is evaluated for the set of standared images "SIDBA". The results show that the assesment funtion fits very well in the property of visual sensations though they are only relative values.

本研究的主要目的是利用局部熵流的新概念定义图像的感官评价函数，并开发一种新的图像感官编码方案。首先，引入了局部熵流的新概念，并将其定量定义应用于一些人工图像。得到的熵流用三维表示绘制，由此证明了上述定义的有效性。其次，我们定义了熵滤波器的新概念，它根据每个局部熵流的值来控制图像的传统低通滤波器的参数。然后将熵滤波应用于标准图像集“SIDBA”，并利用结果对滤波性能进行了详细研究。最重要的结果是，滤波后的图像信息量大大减少，但感官退化很少，因此，如果将熵滤波作为矢量量化的预处理，将有可能实现一种新的编码方案，具有很低的率，但很少有感官退化。最后，定义了基于局部熵流的图像感官评价函数，并对标准图像集“SIDBA”进行了评价。结果表明，该评价函数虽然只是相对值，但却能很好地拟合视觉感觉的性质。