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Content Provider | IET Digital Library |
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Author | Hongbo, Yang Xia, Hou |
Abstract | Histogram modification is an important technique for contrast enhancement. Most changes of histogram are based on global or local region grey-levels information. In this study, a novel grey-level co-occurrence matrix (GCOM)-based histogram equalisation (COHE) method is proposed. A GCOM is a matrix or distribution of co-occurring grey-levels at a given offset, in which each row or column vector is actually a conditional histogram. The procedure of COHE has two steps. First, it is to equalise the modified conditional histograms, which are weighted sums of uniformly distributed histograms and the conditional histograms. An adjusting method of weight parameter is also presented in this study. Conditional histograms equalisations have the advantage of enlarging the difference between given grey-levels and other spatially adjacent grey-levels. Second, COHE algorithm finds mapping to obtain global enhance by weighting all the conditional translated grey-levels with original image histogram. However, it could produce over-enhanced unnatural looking images because of spikes of conditional histogram and original histogram. To deal with this, this study introduces methods of adjusting the conditional histogram and original histogram based on GCOM. Experimental results demonstrate that the proposed method can enhance the images effectively. |
Starting Page | 782 |
Ending Page | 793 |
Page Count | 12 |
ISSN | 17519659 |
Volume Number | 8 |
e-ISSN | 17519667 |
Issue Number | Issue 12, Dec (2014) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/8/12 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2013.0657 |
Journal | IET Image Processing |
Publisher Date | 2014-06-02 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Algebra COHE Method Computer Vision And Image Processing Technique GCOM-based Histogram Equalisation Method Global Region Grey Level Information Histogram Modification Image Contrast Enhancement Image Enhancement Local Region Grey Level Information Matrix Algebra Modified Conditional Histograms Novel Grey-level Co-occurrence Matrix Based Histogram Equalisation Method Optical, Image And Video Signal Processing Over-enhanced Unnatural Looking Image |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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