Author:
Vimal Raj M.,Sakthivel Murugan S.
Abstract
Abstract
Exploration of Underwater Images will be a challenging task due to its degradations by haze, blur, colour cast and noise. In order to extract the latent information from the blurred portion, its parameters are estimated and various algorithms were analysed. Initially, length and angle of motion blurred image are estimated. Then, filters and restoration algorithms were implemented for controlling of ringing artifacts, removal of noise and latent information restoration. Some of the model based classical methods were implemented and analysed for underwater motion blurred image restoration.
Subject
General Physics and Astronomy
Reference21 articles.
1. GLCM Based No-Reference Perceptual Blur Metric For Underwater Blur Image;Cheng;Int. J Of Circuits, Systems And Signal Processing,2016
2. Image deblurring using inertial measurement sensors;Joshi;ACM Transactions on Graphics (TOG),2010
3. Underwater Image Restoration Based on Illumination Normalization and;Jeya Kumar;Deblurring Int. J. of Computer Sciences and Engineering
4. Underwater optical image processing: a comprehensive review;Lu;Mobile networks and applications,2017
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献