A Successful Dehazing and Improvement Method to Improve Photo Visibility in Underwater and Low-Light Images
摘要
As both low-light and underwater images have typical characteristics, it is challenging to enhance sharpness for both types in a single functionality. In order to model a water photograph and a level torch photo, this article provides an augmenting methodology and a removing fogging methodology (Chiang and Chen in. Image Process IEEE Trans 21(4):1756–1769 (2012)). Despite these some additional methods are adopted for MSRCR color restoration, such as guided filtering. So the global-guided image filtering (G-GIF) for white balance reaction melding will be valuable in terms of low-light, color disturbance, and edge attribute planning loss edges. The experimental work confirms that such a technique not only can restore degraded illuminating images but can even extract a more saturated and textured feature out of an edge in a proper form and can contribute toward overall picture appearances and outdo present techniques.