The week's pick
Reseach Article
Performance Evaluation of Spatial Domain Contrast Enhancement Techniques for Underwater Images
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 93 - Number 11 |
| Year of Publication: 2014 |
| Authors: Shivendra Singh, Manish Soni, Arun Kumar Patel, Ravi Shankar Mishra |
10.5120/16263-5936
|
Shivendra Singh, Manish Soni, Arun Kumar Patel, Ravi Shankar Mishra . Performance Evaluation of Spatial Domain Contrast Enhancement Techniques for Underwater Images. International Journal of Computer Applications. 93, 11 ( May 2014), 41-46. DOI=10.5120/16263-5936
Abstract
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.
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