灰度谱分级平坦化理论

The Theory of Gradually Flattening Gray Spectrum

本文提出了一种新的理论-灰度谱分级平坦化来克服人类视觉对比度分辨率限制。它不是简单的按像素点所在灰度级分类,而是具有只要有像素点存在就能显示的功能。它能够以一个灰度级的高分辨率来显示图像的灰度信息。该理论可以用来挖掘实际存在却不能为人眼所见的图像的灰度信息,弥补人类的视觉限制。它将成为图像底层挖掘的通用的、基本的工具。

A new theory of gradually flattening gray spectrum was presented to overcome the contrast resolution limitation of human vision. In this method, pixels could be displayed as long as they were present, not simply classified by their gray levels. The gray information of a picture could be shown at the high resolution of one gray level in the gray spectrum. It could be used to mine the gray information of a picture that is actually in existence but could not be seen by human vision to compensate human vision limitation. It will be a universal and fundamental tool for lower layer image mining.