Image denoising using Principal Component Analysis (PCA) and Pixel Surge Model (PSM)

被引：4
|
作者：
Mredhula, L. [1 ]
Dorairangaswamy, M. A. [2 ]
机构：
[1] Sathyabama Univ, Dept Comp Sci, Madras, Tamil Nadu, India
[2] AVIT, Dept CSE & IT, Madras, Tamil Nadu, India
来源：
INTERNATIONAL JOURNAL OF SIGNAL AND IMAGING SYSTEMS ENGINEERING | 2016年 / 9卷 / 4-5期
关键词：
image denoising; PCA; principal component analysis; PSM; pixel surge model; Sobel edge detection;
D O I：
10.1504/IJSISE.2016.10000094
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Visual data conveyed as images are making an aggressive thrust as an amazing means of communication in the fast zooming high-tech world. However, it is unfortunate that the image get metamorphosed after transmission as it is habitually tainted with noise. Thus, noise has emerged as one of the most crucial and common challenges in image processing. The received image can be badly in need of pre-processing dispensation before it can be profitably deployed in applications.
引用
收藏
页码：311 / 319
页数：9
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