Subscription or Fee Access
Denoising Natural Images Using Fast Multiscale Directional Filter Banks
This paper presents a novel denoising algorithm for additive white Gaussian noise removal in natural images. This algorithm uses a subband selection technique for selecting the suitable subband for the estimation of the threshold value for noise removal. Fixing the optimum threshold is a key factor that determines the performance of any denoising algorithm. Fast multiscale directional filter bank (FMDFB) is a perfect reconstruction framework suitable for a several image processing applications because of its directionality and less computational complexity. Unlike wavelet subbands, each subband in FMDFB carries significant information about the content of the image. Hence, a simple wavelet-based subband adaptive shrinkage method tends to oversmooth the FMDFB coefficients. To overcome this issue, the proposed algorithm selects the suitable subband for the estimation of the threshold value based on the statistical properties of the subbands. The experimental results show that the proposed FMDFB based denoising algorithm outperforms the wavelet and contourlet based denoising for Gaussian noise removal.
Image Denoising, Wavelet Transform, Threshold Methods, Direction Filter Banks
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.