学术报告报告题目：Underwater images quality assessment and its related enhancement algorithm
报 告 人：郭鹏飞 副教授(仲恺农业工程学院)
报告时间：2020年9月18日（星期五）上午 09:00-10:00
报告地点：4号4131会议室
邀 请 人：郑驻军 教授
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数学学院
2020年9月17日
报告摘要：
The enhancement of the underwater culture image is an impor- tant problem for the engineering of the marine industry. In this paper, we study 5 popular underwater culture image enhance- ment algorithms-contrast limited adaptive histogram equalization enhancement(CLAHE), decorrelation stretch enhancement(DS), underwater dark channel prior enhancement(UDCP), non-local image dehazing(NLID) and enhancement underwater image by fusion(EUIF). We apply these algorithms to enhance the various images under different reality culture environment. In order to assessment the performances and adjustment of these algorithms for closing the human visual system, we have created a image dataset with several sea cucumber images under various reality underwater culture environment. We analysis the histogram of mean subtracted contrast normalized coefficients of original images and the enhanced versions by the above 5 algorithm. The image visual quality provided by these algorithms is evaluated subjectively. We also proposed two novel non-linear no- reference objective underwater quality metric based on the results of above subjective qualification. As an application,we poporsed a multiscale fusion enhancement algorithm for underwater images based on the quality inspired weighted maps.