Ramp Distribution-Based Image Enhancement Techniques for Infrared Images

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A novel image enhancement method for infrared (IR) images is presented. The proposed method consists of two parts considering the characteristics of high-dynamic-range IR images. First, we attempt to enhance image contrast by introducing the ramp distribution that increases with a constant slope in an ordered histogram domain. The ramp-distributed histogram is incorporated into an optimization problem with a sorted histogram of the input image to calculate a modified histogram. Second, to deal with blurred effects on IR images, we propose a relative edge-strength index for high-boost filtering to effectively suppress noise in relatively uniform regions. Compared with various conventional and state-of-the-art algorithms, the proposed method shows highly competitive performance.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2018-07
Language
English
Article Type
Article
Keywords

CONTRAST ENHANCEMENT; HISTOGRAM EQUALIZATION; ALGORITHM; DISPLAY

Citation

IEEE SIGNAL PROCESSING LETTERS, v.25, no.7, pp.931 - 935

ISSN
1070-9908
DOI
10.1109/LSP.2018.2834429
URI
http://hdl.handle.net/10203/242592
Appears in Collection
EE-Journal Papers(저널논문)
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