AI Article Synopsis
- - This work aims to improve underwater images using a new method that combines histogram-equalization (HE) and physics-based dichromatic modeling (PDM) to address issues like low contrast and color distortion caused by light interference.
- - PDM explains how underwater images are formed, which helps to restore images affected by natural degradation, but it alone doesn’t guarantee good contrast.
- - The proposed method enhances underwater images by approximating traditional HE via convex optimization, showing better results compared to existing techniques in experimental tests.
Article Abstract
This work proposes to develop an underwater image enhancement method based on histogram-equalization (HE) approximation using physics-based dichromatic modeling (PDM). Images captured underwater usually suffer from low contrast and color distortions due to light scattering and attenuation. The PDM describes the image formation process, which can be used to restore nature-degraded images, such as underwater images. However, it does not assure that the restored images have good contrast. Thus, we propose approximating the conventional HE based on the PDM to recover the color distortions of underwater images and enhance their contrast through convex optimization. Experimental results demonstrate the proposed method performs favorably against state-of-the-art underwater image restoration approaches.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953322 | PMC |
| http://dx.doi.org/10.3390/s22062168 | DOI Listing |
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