Underwater image sharpness assessment based on selective attenuation of color in the water
Zongying Li, Zhaorui Gu, Haiyong Zheng, Bing Zheng, Jingpeng Liu · OCEANS 2016 - Shanghai · 2016
Due to the dramatic effect of scattering caused by underwater medium, blur commonly occurs in underwater images. Moreover, colors are frequently attenuated in underwater situations, in response to the effect that water selectively absorbs light of different wavelengths. Thus, this color loss becomes one of the key features of underwater images. Most present blur/sharpness evaluation algorithms, which are based on grayscale images, are able to perform well on normal overwater images. However, they could not assess underwater images sufficiently because the color distortion has been neglected. This paper proposes a method to measure the underwater image sharpness based on selective attenuation of color in the water. In addition, in order to evaluate the performance of our method, we exploit an underwater image database. Tests on LIVE blur database and underwater image database demonstrate that our method correlates better with subjective human quality evaluations compared with the other methods.