Improved Fusion-based Technique for Underwater Image Enhancement
| Autor: | Badal Soni, Prachi Mathur, Kanasani Monica |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Filter (signal processing) Light scattering Visualization Histogram 0202 electrical engineering electronic engineering information engineering Reflection (physics) Contrast (vision) 020201 artificial intelligence & image processing Adaptive histogram equalization Computer vision Artificial intelligence Underwater business media_common |
| Zdroj: | 2018 4th International Conference on Computing Communication and Automation (ICCCA). |
| Popis: | Underwater scenarios cause the quality of images to be degraded by absorption, reflection, bending and scattering of light. This causes dominance of blue and green color in underwater images. In order to improve the visual quality of underwater images, we proposed a fusion based technique by which combines the Contrast Limited Adaptive Histogram Equalization(CLAHE) and Guided filter approaches. Initially, the Contrast Limited Adaptive Histogram algorithm is applied on R, G and B components of the input image to equalize the colour contrast in images. Secondly, the Guided filter approach is applied on the result of first step to improve the colour contrast and solve the issue of lighting. Experiments indicate that the proposed technique shows promising results in terms of visual quality as well as for quantitative measures. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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