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Boundary Effect Reduction in Image Filtering Yong Ge1, 2, Qiuming Cheng2 1 State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences, A 11 Datun Rd., Beijing 100101, China. Tel: 8610 64888967; Fax: 8610 64889630. 2 Department of Earth and Space Science and Engineering, York University, 4700 Keele St., Toronto, ON, Canada, M3J 1P3.
The abrupt boundary truncation of an image may cause bright strips on a 2-D power spectrum in frequency domain and distortion of patterns in the frequency domain. The traditional solutions, including zero-padding and extension of the image by mirroring the data inside image, are useable for processing relatively simple, regular and stationary images. These methods, however, are not effective for dealing with images with holes or highly irregular shapes. This paper proposes an algorithm of using decay functions to handle boundary effects especially when filtering operation is involved in image processing. To validate the algorithm, we first employ a geochemical image interpolated by data set from a mineral district in Nova Scotia, Canada to analyze the effects of decay function on boundary truncations with the change of extension width. We then apply the algorithm to a real-life remotely sensed image. It is demonstrated that decay functions give superior overall performances over the traditional method. Keywords: Boundary effect; Decay functions; Image processing.
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Biographies:
BibTex: @ARTICLE{P1150724002, AUTHOR = {Yong Ge and Qiuming Cheng}, TITLE = {Boundary effect reduction in image filtering}, JOURNAL ={ICGST International Journal on Graphics, Vision and Image Processing, GVIP},
YEAR = {2007},
VOLUME = {07}, ISSUE ={II}, PAGES={17--25} }
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