Title
Multiscale X-ray image contrast enhancement based on limited adaptive histogram equalization
Abstract
In this paper, a novel image contrast enhancement method, based on multiscale transform and contrast limited adaptive histogram equalization, is proposed for enhancing the X-ray images. Firstly, the Laplacian pyramid based the multiscale transform is adopted to decompose the input image, which can extract the characteristic of multiscale the image. Secondly, the contrast limited adaptive histogram equalization (CLAHE) is used for enhancing the contrast of image. Comparing with the traditional adaptive histogram equalization (AHE) and global histogram equalization, the CLAHE effectively intensifies the image at the same time restrains noise enlarged. In order to make the enhanced image become more smoothing, we adjust the contrast of low frequency coefficients. Finally, the inverse Laplacian pyramid transform is applied to reconstruct image which can obtain the enhanced image. We tested the proposed algorithm on medical X-ray images, and experimental results show that the presented algorithm is effective for contrast enhancement of image. The performance evaluation of the proposed algorithm uses the contrast evaluation criterion for image and information entropy.
Year
DOI
Venue
2013
10.1145/2499788.2499793
ICIMCS
Keywords
Field
DocType
global histogram equalization,adaptive histogram equalization,multiscale x-ray image contrast,limited adaptive histogram equalization,input image,medical x-ray image,x-ray image,enhanced image,novel image contrast enhancement,proposed algorithm,contrast evaluation criterion,contrast enhancement,adaptive,histogram equalization
Top-hat transform,Computer vision,Pattern recognition,Computer science,Histogram matching,Adaptive histogram equalization,Smoothing,Artificial intelligence,Balanced histogram thresholding,Image histogram,Histogram equalization,Color normalization
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
5
Name
Order
Citations
PageRank
Shibin Wu1122.73
Qingsong Zhu211613.96
Shaode Yu3195.60
Qi Li416830.51
Yaoqin Xie512521.70