A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A New Adaptive Image Denoising Method Based on Neighboring Coefficients
Abstract Many good techniques have been discussed for image denoising that include NeighShrink, improved adaptive wavelet denoising method based on neighboring coefficients (IAWDMBNC), improved wavelet shrinkage technique for image denoising (IWST), local adaptive wiener filter (LAWF), wavelet packet thresholding using median and wiener filters (WPTMWF), adaptive image denoising method based on thresholding (AIDMT). These techniques are based on local statistical description of the neighboring coefficients in a window. These methods however do not give good quality of the images since they cannot modify and remove too many small wavelet coefficients simultaneously due to the threshold. In this paper, a new image denoising method is proposed that shrinks the noisy coefficients using an adaptive threshold. Our method overcomes these drawbacks and it has better performance than the NeighShrink, IAWDMBNC, IWST, LAWF, WPTMWF, and AIDMT denoising methods.
A New Adaptive Image Denoising Method Based on Neighboring Coefficients
Abstract Many good techniques have been discussed for image denoising that include NeighShrink, improved adaptive wavelet denoising method based on neighboring coefficients (IAWDMBNC), improved wavelet shrinkage technique for image denoising (IWST), local adaptive wiener filter (LAWF), wavelet packet thresholding using median and wiener filters (WPTMWF), adaptive image denoising method based on thresholding (AIDMT). These techniques are based on local statistical description of the neighboring coefficients in a window. These methods however do not give good quality of the images since they cannot modify and remove too many small wavelet coefficients simultaneously due to the threshold. In this paper, a new image denoising method is proposed that shrinks the noisy coefficients using an adaptive threshold. Our method overcomes these drawbacks and it has better performance than the NeighShrink, IAWDMBNC, IWST, LAWF, WPTMWF, and AIDMT denoising methods.
A New Adaptive Image Denoising Method Based on Neighboring Coefficients
Biswas, Mantosh (author) / Om, Hari (author)
2014-12-04
9 pages
Article (Journal)
Electronic Resource
English
A New Adaptive Image Denoising Method
| Springer Verlag | 2014
Spectral-Spatial Adaptive Sparse Representation for Hyperspectral Image Denoising
| Online Contents | 2016
Hyperspectral Image Denoising Employing a Spectral — Spatial Adaptive Total Variation Model
| Online Contents | 2012
| British Library Online Contents | 2009
Image Denoising Algorithm Based on Dyadic Contourlet Transform
| British Library Conference Proceedings | 2011