By Topic

Based on HSV Space Real-color Image Enhanced by Multi-scale Homomorphic

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Jie Xiong ; Inst. of Visualization Technol., Northwest Univ., Xi''an, China ; Han LiNa ; Geng Guohua ; Zhou Mingquan

Digital image enhancement provides good dynamic range compression in each red, green and blue (RGB)channel, but it fails in color rendition. In this letter, we propose to transform a real-color image from RGB space to HSV space at first.Then, saturation channel is enhanced by Butterworth high-pass homomorphic filter and value channel is enhanced by multi-scale Gaussian high-pass homomorphic filters. In addition , we propose anew method to fix on the cut-off frequency of high-pass filter in homomorphic enhancement algorithm and explain the ratio coefficient of high-pass filter.Experiments show the compression of real-color image dynamic range is obviously effective, and it successes in color rendition.

Published in:

Intelligent Systems, 2009. GCIS '09. WRI Global Congress on  (Volume:3 )

Date of Conference:

19-21 May 2009