Performance Evaluation of Spatial Domain Contrast Enhancement Techniques for Underwater Images

Image enhancement methods are widely used for improving the feature and quality of the images. Researchers have designed various contrast enhancement methods in the past. But since underwater image contain low contrast and resolution due to poor visibility conditions and refractions of light rays. T...

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Bibliographic Details
Published in:International journal of computer applications 2014-01, Vol.93 (11), p.41-46
Main Authors: Singh, Shivendra, Soni, Manish, Patel, Arun Kumar, Mishra, Ravi Shankar
Format: Article
Language:English
Subjects:
Brightness
Entropy
Equalization
Histograms
Image contrast
Image enhancement
Performance evaluation
Underwater
Online Access:Get full text
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Summary:Image enhancement methods are widely used for improving the feature and quality of the images. Researchers have designed various contrast enhancement methods in the past. But since underwater image contain low contrast and resolution due to poor visibility conditions and refractions of light rays. Thus analysis and identification of the underwater object is a challenging and difficult task. In this paper presents a comparative analysis of various contrast enhancement techniques for such underwater images. Performance of contrast limited adaptive histogram equalization (CLAHE) method is compared with contrast stretching, global histogram equalization (HE) Brightness preserving Bi-histogram equalization (BBHE) and finally Dual Sub-Image histogram equalization (DSIHE) methods. Different colour underwater images are enhanced in the RGB colour space. The performance is evaluated based on discrete entropy, signal to noise ratio (SNR) and Standard deviation difference and the mean brightness. Performance of methods is evaluated under various type of underwater image environment.
ISSN:0975-8887
0975-8887
DOI:10.5120/16263-5936