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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/40221
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dc.titleA Diffusion Process for Wavelet-Transform-Based Image Denoising and Its Application to Document Image Binarization
dc.contributor.authorFan, L.
dc.contributor.authorFan, L.
dc.contributor.authorTan, C.
dc.date.accessioned2013-07-04T07:59:22Z
dc.date.available2013-07-04T07:59:22Z
dc.date.issued2003
dc.identifier.citationFan, L.,Fan, L.,Tan, C. (2003). A Diffusion Process for Wavelet-Transform-Based Image Denoising and Its Application to Document Image Binarization. IEEE International Conference on Image Processing 3 : 353-356. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40221
dc.description.abstractA diffusion process which is used for wavelet-transform-based image denoising was discussed. Spatial correlations between wavelet coefficients were studied by replacing the thresholding process with a diffusion process. Coplanar matrices were used to study the spatial correlations of wavelet transforms. It was found that diffusion process can distinguish and suppress noise more effectively than thresholding process.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleIEEE International Conference on Image Processing
dc.description.volume3
dc.description.page353-356
dc.description.coden85QTA
dc.identifier.isiutNOT_IN_WOS
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