Research on the Application of Super Resolution Reconstruction Algorithm for Underwater Image

作     者：Tingting Yang Shuwen Jia Hao Ma 

作者机构：University of SanyaSanya572000China 1455 Boulevard de Maisonneuve OMontréalQC H3G 1M8Canada 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2020年第62卷第3期

页      面：1249-1258页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work is supported by Hainan Provincial Natural Science Foundation of China(project number:20166235) project supported by the Education Department of Hainan Province(project number:Hnky2017-57) 

主　　题：Underwater image image super-resolution algorithm algorithm reconstruction degradation model 

摘      要：Underwater imaging is widely used in ocean,river and lake exploration,but it is affected by properties of water and the *** order to solve the lower-resolution underwater image formed by the influence of water and light,the image super-resolution reconstruction technique is applied to the underwater image *** paper addresses the problem of generating super-resolution underwater images by convolutional neural network framework *** research the degradation model of underwater images,and analyze the lower-resolution factors of underwater images in different situations,and compare different traditional super-resolution image reconstruction *** further show that the algorithm of super-resolution using deep convolution networks(SRCNN)which applied to super-resolution underwater images achieves good results.