← Back to VOLUME 2, ISSUE 6, JUNE 2013
This work is licensed under a Creative Commons Attribution 4.0 International License.
Energy Preservation By Using Wavelet Transform For Analysis Of Oversampled Filter Banks For 2-D Image
DR. MRS. S.R.CHOUGULE Professor & Principal, Bharati Vidyapeeth’s College of Engineering Kolhapur, India
Downloads: Download PDF
👁 41 views📥 1 download
Abstract: Wavelet transforms and other multi-scale analysis functions have been used for compact signal and image representations in de-noising, compression and feature detection processing problems for about twenty years. Here proposed oversampled filter banks are analyzed by using wavelet transform. In this paper oversampled nonuniform three and eight channels FIR filter banks [FB] are designed for analysis of 2D images. Filter bank channels are selected likewise which gives the result near perfect reconstruction of input image. The inband aliasing is significantly reduced by selecting proper frequency spectrum and design of filters of filter bank. By applying wavelet transform energy of input image is preserved at output of oversampled filter bank.
Keywords: FIR Filter bank, Oversampled filter bank, FIR, Multirate FIR filter bank.
Keywords: FIR Filter bank, Oversampled filter bank, FIR, Multirate FIR filter bank.
How to Cite:
[1] DR. MRS. S.R.CHOUGULE Professor & Principal, Bharati Vidyapeeth’s College of Engineering Kolhapur, India, “Energy Preservation By Using Wavelet Transform For Analysis Of Oversampled Filter Banks For 2-D Image,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
