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Content Provider | IET Digital Library |
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Author | Paul, Abhisek Bhattacharya, Paritosh Maity, Santi P. Bhattacharyya, Bidyut Kr. |
Abstract | An adaptive plateau limit-based histogram equalisation algorithm is suggested to enhance digital images. Histogram of the image is clipped with a plateau limit to avoid over enhancement. The plateau limit is derived from the average of the mean and the median intensity values to offer the improved enhancement. Clipped histogram is subdivided into three parts, using histogram subdivision limit parameters that are calculated on the basis of the standard deviation of the image. Histogram of individual sub-image is equalised independently and then combined into a single enhanced image. Experimental results demonstrate that the proposed plateau limit-based tri-histogram equalisation algorithm enhances the image quality. Compared with the other traditional plateau and non-plateau limit-based histogram equalisation algorithms, quantitative and visual quality assessments effectively validate the superiority of the proposed algorithm. |
Starting Page | 1617 |
Ending Page | 1625 |
Page Count | 9 |
ISSN | 17519659 |
Volume Number | 12 |
e-ISSN | 17519667 |
Issue Number | Issue 9, Sep (2018) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/12/9 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.1088 |
Journal | IET Image Processing |
Publisher Date | 2018-04-18 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Adaptive Plateau Limit Clipped Histogram Computer Vision And Image Processing Technique Digital Image Equaliser Histogram Subdivision Limit Parameter Image Enhancement Image Quality Individual Sub-image Optical, Image And Video Signal Processing Single Enhanced Image Traditional Plateau Tri-histogram Equalisation Algorithm |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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