Journal of Jilin University(Information Science Ed ›› 2015, Vol. 33 ›› Issue (5): 495-.

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Improved Image Enhancement Histogram-Equalization Method

WANG Yonga, LIU Wenb   

  1. a. College of Communication Engineering; b. College of Mathematics, Jilin University, Changchun 130012, China
  • Received:2015-07-23 Online:2015-09-30 Published:2015-12-30

Abstract:

In order to reduce the complexity of the algorithm of image enhancement, to simplify hardwareimplementation and to get more clear and natural image, we propose a new histogram statistics method, Presentsan improved histogram statistics and distribution adjustment algorithm. On the whole distribution histogrammodification the brightness saturation problem is improved. Uses the fixed point of histogram segmentation pointsarea balanced histogram. With histogram after balanced reflects the enhanced image. Experimental results showthat the method in the case of adding less amount of calculation to ensure the image has a better effect, not onlyensure the oversaturation did not appear, and guarantee the image detail is outstanding, has a good visual effect.The enhancement effect of this method is superior to the traditional method.

Key words: histogram, histogram equalization, image detail, image enhancement

CLC Number: 

  • TP394. 1