JOURNAL ARTICLE

Hazy Underwater Image Enhancement Based on Contrast and Color Improvement Using Fusion Technique

Ritu SinghMantosh Biswas

Year: 2017 Journal:   Image Processing & Communications Vol: 22 (3)Pages: 31-38   Publisher: De Gruyter

Abstract

Abstract Scattering and absorption of light in water leads to degradation of images captured under the water. This degradation includes diminished colors, low brightness and undistinguishable objects in the image. To improve the quality of such degraded images, we have proposed fusion based underwater image enhancement technique that focuses on improving of the contrast and color of underwater images using contrast stretching and Auto White Balance. Our proposed method is very simple and straightforward that contributes greatly in uplifting the visibility of underwater images.

Keywords:
Underwater Visibility Computer science Artificial intelligence Brightness Computer vision Contrast (vision) Color constancy Color balance Color correction Image fusion Image quality Fusion Degradation (telecommunications) Image enhancement Image (mathematics) Color image Optics Image processing Geology Physics Telecommunications

Metrics

8
Cited By
0.25
FWCI (Field Weighted Citation Impact)
21
Refs
0.61
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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