Adaptive Enhancement of Underwater Images

Underwater images usually suffer from low contrast and non-uniform lightning. To overcome this histogram equalization is the basic technique for enhancement due to its simple function and effectiveness. This method tends to change the brightness of an image and therefore, not suitable for consumer electronic products, where preserving the original brightness is essential to avoid annoying artifacts. A number of techniques have been developed over a period of time to overcome these undesirable effects. But none of the technique is found suitable for enhancement of image under poor illumination conditions, which preserve the brightness of the original image. In this article we present a survey of different techniques that are based on histogram equalization, and also applied those techniques on underwater images. We also made a comparison of the processed images by a set of ten quality metrics.

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