An Adaptive Histogram Equalization Algorithm on the Image Gray Level Mapping
The conventional histogram equalization algorithm is easy causing information loss. The paper presented an adaptive histogram-based algorithm in which the information entropy remains the same. The algorithm introduces parameter/? in the gray level mapping formula, and takes the information entropy as the target function to adaptively adjust the spacing of two adjacent gray levels in the new histogram. So it avoids excessive gray pixel merger and excessive bright local areas of the image. Experiments show that the improved algorithm may effectively improve visual effects under the premise of the same information entropy. It is useful in CT image processing.
Hstogram Equalization Image Enhancement Cray Level Mapping Information Entropy
Youlian Zhu Cheng Huang
College of Electronic Information Engineering Jiangsu Teachers University of Technology Changzhou, China, 213001
国际会议
2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)
南昌
英文
522-525
2010-09-17（万方平台首次上网日期，不代表论文的发表时间）