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Image denoising with geometrical thresholds

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2 Author(s)
Q. -X. Tang ; Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Institute of Intelligent Information Processing, Xidian University, Xi¿an 710071, People¿s Republic of China E-mail: ; L. -C. Jiao

Observation on the interpolation effect and selectivity of human visual perception can be used to construct a criterion to find and preserve geometrical details while denoising an image. An approach to denoise an image with such a criterion is introduced, through which the pointwise thresholding of wavelet coefficients is turned into a bandwise geometrical thresholding. Interestingly this method can make up for the loss of details in a pointwise thesholding procedure. Experimental results validate its good performance, particularly on images with dominant high frequency contents and faint directional details such as Barbara.

Published in:

Electronics Letters  (Volume:45 ,  Issue: 8 )