Image Enhancement Based on Space Domain with MATLAB

Article Preview

Abstract:

Based on image enhancement-theory of space domain method, gray-scale transformation, histogram adjustment, smoothing, sharpening filters and so on, which are analyzed. On this basis, image enhancement is carried on simulation and programming to use MATLAB. Results are analyzed and compared with gray-scale transformation, histogram adjustment, smoothing, sharpening filters of space domain method, indicating better to improve the image to adopt smoothing filtering.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

3063-3066

Citation:

Online since:

November 2011

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Xing-hua Shao, Yuan-yuan Zhou and so on. MATLAB7.0 Picture Processing [M]. Bei-jing: Posts & Telecom Press, 2006.11 (In Chinese)

Google Scholar

[2] Xiao-feng Gao, Jian-feng Zhang. Processing and Analysis of Remote Image on Wavelet Transform and MATLAB [J]. Bei-jing: Computer Informance, 2006.03, 22(3): 238~240 (In Chinese)

Google Scholar

[3] Lei Zhang, Jing Bi and so on. MATLAB Practical Course [M]. Bei-jing: Posts & Telecom Press, 2008.12 (In Chinese)

Google Scholar

[4] Zhe-xue Ge, Zhong-sheng Chen. Matlab Time Domain Analysis Ttechnology and Application [M]. Bei-jing: Posts & Telecom Press, 2006.01 (In Chinese)

Google Scholar

[5] Jia-wen Wang, Yu Cao. MATLAB6.5 Figure and Picture Processing [M]. Bei-jing: National Defence Industry Press, 2004.05 (In Chinese)

Google Scholar

[6] Chun-lan Bai. "Research and Analysis of Image Enhancement Based on Space Domain". He-nan: Journal of Henan University of Urban Construction, 2010.02, No.1, pp.57-60 (In Chinese)

Google Scholar

[7] Chun-lan Bai. "Study of Filtering Noise of Image Based on Matlab". He-nan: Journal of Henan University of Urban Construction, 2009.05,vol.18, No. 3, pp.50-52 (In Chinese)

Google Scholar