|Table of Contents|

 Image Enhancement Based on Wavelet Transform and Contrast 
Limited Adaptive Histogram Equalization
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《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

Issue:
2018年06期
Page:
100-104
Research Field:
电气与电子工程
Publishing date:

Info

Title:
 Image Enhancement Based on Wavelet Transform and Contrast 
Limited Adaptive Histogram Equalization
Author(s):
 YU TianheMENG XuePAN TingLAN Chaofeng
 School of Electrical and Electronic Engineering Harbin University of Science and Technology, Harbin 150080, China
Keywords:
 Keywords:image enhancement discrete wavelet fransform haze image
PACS:
TP391
DOI:
10.15938/j.jhust.2018.06.018
Abstract:
 Abstract:Contrast limited adaptive histogram equalization (CLAHE) is an efficient algorithm to improve the local details of an image In this paper, we propose an image enhancement method named CLAHE Discrete Wavelet Transform to solve the problem of contrast and overstretched noise in the application process,which combines CLAHE and discrete wavelet transform This method consists of three major steps: First, the original image is decomposed into low frequency and high frequency by the discrete wavelet transform Then, the low frequency coefficients are enhanced by CLAHE and the high frequency coefficients is filtered to limit the noise enhancement This is because the highfrequency component corresponding to the details, the low frequency portion comprises most of the noise image haze Finally, reconstruct the image by taking inverse discrete wavelet transform of the new coefficients

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Last Update: 2019-03-21