Underwater images are affected by scattering of dust particles leading to hazy images. The difference in absorption of light at different wavelength leads to colorcast. Restoring underwater images from haze and colorcast degradation is a challenging task. This article proposes color corrected single scale retinex algorithm for the restoration of hazy and colorcast underwater images. Further, the illumination of the underwater image is enhanced through illumination enhancer. In order to correct colorcast, the underwater images intensity shifters are proposed. Blur, natural image quality evaluator, blind/referenceless image spatial quality evaluator, entropy, peak signal to noise ratio are the metrics used to evaluate the performance of the proposed restoration technique and compared the output with the existing techniques. Compared to the existing techniques the proposed algorithm prominently removes haze and colorcast present in underwater images. The study excludes retinex‐with‐reset models from consideration.

中文翻译：

---

基于色彩校正的单标度retinex的雾度去除和水下图像的色彩校正

水下图像受尘埃颗粒散射的影响，从而导致图像模糊。不同波长的光吸收差异会导致色偏。从阴霾和色偏退化中恢复水下图像是一项艰巨的任务。本文提出了色彩校正的单尺度retinex算法，用于恢复朦胧和彩色投射的水下图像。此外，通过照明增强器增强了水下图像的照明。为了校正色偏，提出了水下图像强度移位器。模糊，自然图像质量评估器，盲/无参考图像空间质量评估器，熵，峰值信噪比是用于评估所提出的恢复技术的性能并将输出与现有技术进行比较的指标。与现有技术相比，所提出的算法显着地消除了水下图像中存在的雾度和色偏。该研究排除了带有重置的retinex模型。