DocumentCode :
1797050
Title :
Novel designs for nonsubsampled multiresolution directional filter banks and an extra finer directional wavelet transform
Author :
Gajbhar, Shrishail S. ; Joshi, Manjunath V.
Author_Institution :
Dhirubhai Ambani Inst. of Inf. & Commun. Technol., Gandhinagar, India
fYear :
2014
fDate :
9-13 July 2014
Firstpage :
339
Lastpage :
343
Abstract :
This paper presents two novel multirate tree-structure designs for a class of nonsubsampled, perfect reconstruction (PR) multiresolution directional filter banks (MDFBs). The proposed designs are simple and efficiently obtained from a combination of 2-D nonseparable filters and 2 by 2 upsampling matrices. The proposed MDFBs having one lowpass and six highpass directional subbands represent the oriented image features non-adaptively with complete shift-invariance. We also propose nonsubsampled design of an extra finer directional wavelet transform (EFiDWT), with one lowpass and twelve highpass directional subbands. The proposed designs can have efficient implementations with the notion of generalized separability. The efficacy of the proposed designs are tested for image denoising application that uses simple hard thresholding technique.
Keywords :
channel bank filters; high-pass filters; image denoising; image reconstruction; image representation; image resolution; low-pass filters; wavelet transforms; 2D nonseparable filters; EFiDWT; extrafiner directional wavelet transform; generalized separability; high-pass directional subband; image denoising application; low-pass directional subband; multirate tree-structure design; nonadaptive oriented image feature representation; nonsubsampled PR MDFB; nonsubsampled design; nonsubsampled perfect reconstruction multiresolution directional filter banks; shift-invariance; simple-hard thresholding technique; upsampling matrices; Image denoising; Image resolution; Noise reduction; PSNR; Vectors; Wavelet transforms; Multiresolution directional filter banks; Nonsubsampled transforms; Wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-5401-8
Type :
conf
DOI :
10.1109/ChinaSIP.2014.6889260
Filename :
6889260
Link To Document :
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