会议专题

In-service Insulator Image Denoising

  A Poisson-Gaussian(PG)denoising method for inservice insulator image is proposed.The existing spatial-based method can avoid the preserve more detail information than the transform-based method.Various transforms have been used for image denoising.However,the transforms have disadvantages such as aliasing and lack of directional selectivity.Meanwhile,the conventional redundant transform-based image denoising approaches require more memory and consume more time.In order to capture detail information of images more efficiently,and reduce the computation cost,we propose a hybrid method to improve quality of denoised insulator image in dual domain.Experimental results show that the proposed method is able to significantly improve the PG denoising performance in visual inspection.

Poisson-Gaussian noise Insulator image Dual domain Visual inspection

Zhiyu CHEN Yu LI Shaoyan GONG Rui SHI Dong WANG Bingyu GE

State Grid Information & Telecommunication Branch,Beijing 100761,China Anhui Jiyuan Software Co.Ltd,SGITG,Hefei 230088,China Global Energy Interconnection Research Institute,Beijing 102209,China

国际会议

2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference(ITOEC2017)(2017 IEEE 第3届信息技术与机电一体化工程国际学术会议)

重庆

英文

1019-1023

2017-10-03(万方平台首次上网日期,不代表论文的发表时间)