Share Email Print
cover

Proceedings Paper

Improvement of linear filter in image denoising
Author(s): Lingshuai Kong; Hongyan Wen; Lei Guo; Qingtao Wang; Yakun Han
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Image noise is one of important factors that affects quality of image in the process of remote sensing imaging. So. the image de-noising is a basic and key technology in the field of image processing. In this paper, the classical linear filtering, such as arithmetic average filter, harmonic mean filter, and geometric mean filter , are applied to do the image de-noising and the analysis for the characteristics of each de-noising method. The improvement scheme of the linear filtering which based on the mean filtering is proposed by the way of adding the threshold, and the root mean square error (MSE) and peak signal to noise ratio (PSNR) are used on its accuracy evaluation.

Paper Details

Date Published: 9 December 2015
PDF: 7 pages
Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98083F (9 December 2015); doi: 10.1117/12.2207241
Show Author Affiliations
Lingshuai Kong, Guilin Univ. of Technology (China)
Hongyan Wen, Guilin Univ. of Technology (China)
Lei Guo, Guilin Univ. of Technology (China)
Qingtao Wang, Guilin Univ. of Technology (China)
Yakun Han, Guilin Univ. of Technology (China)


Published in SPIE Proceedings Vol. 9808:
International Conference on Intelligent Earth Observing and Applications 2015
Guoqing Zhou; Chuanli Kang, Editor(s)

© SPIE. Terms of Use
Back to Top