Improved self-Adaptive Image Histogram Equalization Algorithm

摘要：

　　Histogram equalization (HE) algorithm is wildly used method in image processing of contrast adjustment using images histogram.This method is useful in images with backgrounds and foreground that are both bright or both dark.But the performance of HE is not satisfactory to images with backgrounds and foregrounds that are both bright or both dark.To deal with the above problem,1 gives an improved histogram equalization algorithm named self-adaptive image histogram equalization (SIHE) algorithm.Its main idea is to extend the gray level of the image which firstly be processed by the classical histogram equalization algorithm.This paper gives detailed introduction to SIHE and analyzes the shortage of it,then give an improved version of SIHE named ISIHE,finally do experiments to show the performance of our algorithm.

关键词： Histogram equalization SIHE ISIHE gray level

作者: Peng Naxin Chen Yuqiang

作者单位: Department of Computer Guangdong University of Science & Technology,Dongguan,Guangdong,China Department of Computer Engineering DongGuan Polytechnic.Dongguan,Guangdong,China

会议类型: 国际会议

会议名称: 2013 2nd international Conference on Opto-Electronics Engineering and Materials Eesearch(2013第二届光电工程与材料研究国际会议)(OEMR2013)

会议地点: 郑州

会议语种:英文

页码: 1304-1309

在线出版日期: 2013-10-19（万方平台首次上网日期，不代表论文的发表时间）