Sliced Ridgelet Transform for Image Denoising
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2013, Vol 14, Issue 1
Abstract
Image denoising based on ridgelet transforms gives better result in image denoising than standard wavelet transforms. In this research work, the researcher introduces a new approach for image denoising that is based on ridgelets computed in a localized manner and that is computationally less intensive than curvelets, but similar donising performance. The projection of image at a certain angle is computed at a certain angle, but only on a defined slice of the noisy image. After that, ridgelet transform of each slice is computed , to produce the ridgelet coefficients for an image.The denoising operation corresponds to a simple thresholding of these ridgelet coefficients.
Authors and Affiliations
V. Krishna Naik
Keywords
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