直方图和熵在图像增强处理中的最新应用方法，-Many applications of histograms for the purposes

of image processing are well known. However, applying this

process to the transform domain by way of a transform coefficient

histogram has not yet been fully explored. This paper proposes

three methods of image enhancement: a) logarithmic transform

histogram matching, b) logarithmic transform histogram shifting,

and c) logarithmic transform histogram shaping using Gaussian

distributions. They are based on the properties of the logarithmic

transform domain histogram and histogram equalization. The

presented algorithms use the fact that the relationship between

stimulus and perception is logarithmic and afford a marriage

between enhancement qualities and computational efficiency. A

human visual system-based quantitative measurement of image

contrast improvement is also defined. This helps choose the best

parameters and transform for each enhancement. A number of

experimental results are presented to illustrate the performanc