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A new wavelet-based approach to sharpening and smoothing of images in Besov spaces with applications to deblurring

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4 Author(s)
Berkner, K. ; Ricoh Silicon Valley Inc., Menlo Park, CA, USA ; Gormish, M.J. ; Schwartz, E.L. ; Boliek, M.

The problem of image enhancement arises in many applications such as scanners, copiers and digital cameras. Enhancement often includes a denoising and a deblurring or sharpening step. Similar to image compression, state-of-the-art denoising techniques use wavelet bases instead of Fourier bases since wavelet domain processing provides local adaptation in smooth and non-smooth parts due to the theoretical link between wavelets and smoothness spaces. In this paper the same smoothness spaces are used to propose a way of performing sharpening and smoothing of signals with wavelets (WSS) in Besov spaces. As an application the completely wavelet-based enhancement of a scanned document is discussed

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Image Processing, 2000. Proceedings. 2000 International Conference on  (Volume:3 )

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