Contrast Enhancement Using Combined 1-D and 2-D Histogram-Based Techniques

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This letter presents an adaptive contrast enhancement algorithm considering both preservation of the shape of a one-dimensional (1-D) histogram and statistical information on the gray-level differences between neighboring pixels obtained by a 2-D histogram. The proposed system consists of two modules. One is to enhance the entire contrast by stretching the 1-D histogram while preserving the shape of the histogram. The other is to improve the details of nonsmooth areas occurring frequently in input images. These are formulated into a single constrained optimization problem. Compared with several state-of-the-art enhancement algorithms, the proposed algorithm shows highly competitive performance.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2017-06
Language
English
Article Type
Article
Keywords

IMAGE-CONTRAST

Citation

IEEE SIGNAL PROCESSING LETTERS, v.24, no.6, pp.804 - 808

ISSN
1070-9908
DOI
10.1109/LSP.2017.2687945
URI
http://hdl.handle.net/10203/224052
Appears in Collection
EE-Journal Papers(저널논문)
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