Research of laser active image-denoising method

Jijun Luo; Jun Xu; Suxia Hou; Xiaofeng Li

doi:10.1117/12.865914

22 October 2010 Research of laser active image-denoising method

Jijun Luo, Jun Xu, Suxia Hou, Xiaofeng Li

Proceedings Volume 7658, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology; 76584L (2010) https://doi.org/10.1117/12.865914
Event: 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies, 2010, Dalian, China

Abstract

In this paper, an image-denoising method is presented based on mathematical morphology and wavelet transform. Highfrequency coefficients are processed by mathematical morphology firstly. Then, according to the respective characteristics, high frequency sub-band images at horizontal, vertical and angular directions are denoised by three different filter templates after wavelet transform. We take measures to protect edge information and detail of image. Experiment result shows that the noise of the image is removed effectively. At the same time, the detail of the image is kept well. The method has better denoising effect.

Citation Download Citation

Jijun Luo, Jun Xu, Suxia Hou, and Xiaofeng Li "Research of laser active image-denoising method", Proc. SPIE 7658, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology, 76584L (22 October 2010); https://doi.org/10.1117/12.865914

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available