Adaptive Cubic Spline Interpolation in CIELAB Color Space for Underwater Image Enhancement
| Autor: | Deepti Hegde, Ramesh Ashok Tabib, Prabin Kumar Bora, Chaitra Desai, Uma Mudenagudi, Ujwala Patil |
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| Rok vydání: | 2020 |
| Předmět: |
Image formation
Computer science business.industry Color correction 3D reconstruction 020206 networking & telecommunications 02 engineering and technology Color space Light scattering Distortion 0202 electrical engineering electronic engineering information engineering Canny edge detector General Earth and Planetary Sciences 020201 artificial intelligence & image processing Computer vision Artificial intelligence Underwater business Spline interpolation General Environmental Science |
| Zdroj: | Procedia Computer Science. 171:52-61 |
| ISSN: | 1877-0509 |
| Popis: | Underwater images suffer from haze, blue/green tint, and color distortion, caused by attenuation and scattering of light. Existing methods for restoration depend on transmission maps to inverse the effects based on the underwater image formation model, and enhancement methods often result in unnatural colors. In this paper, we propose a method to adaptively estimate a color correction curve in the CIE L*a*b* color space for single image enhancement. Haze and blue-green tint in underwater images are removed through this process. We demonstrate improved canny edge detection on underwater images through enhancement. Results are evaluated and compared with state-of-art methods using standard underwater image datasets of coral reefs with marine populations and man-made concrete structures. Enhancement of underwater images finds its use in areas such as marine habitat mapping, improvement of 3D reconstruction of underwater scenes, and visual studies of marine life. |
| Databáze: | OpenAIRE |
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