Title :
Spectra denoising based on the dual-tree complex wavelet transform
Author :
Pan, Jingchang ; Guo, Qiang ; Jiang, Bin
Author_Institution :
Sch. of Inf. Eng., Shandong Univ., Weihai
Abstract :
Most wavelet-based denoising algorithms use the standard wavelet transform. Recently, the dual-tree complex wavelet transform (DTCWT) has been proposed as a novel analysis tool featuring near shift-invariance which is important to improve the denoising performance. In this paper, a spectra denoising algorithm based on the DTCWT is proposed. Experimental results show that higher signal-to-noise ratio (SNR) and better visual quality can be obtained by the proposed denoising algorithm.
Keywords :
astronomical spectra; astronomical techniques; astronomy computing; signal denoising; spectral analysis; trees (mathematics); wavelet transforms; dual-tree complex wavelet transform; near shift invariance; signal-to-noise ratio; spectra denoising; Discrete wavelet transforms; Filter bank; Noise reduction; Signal denoising; Signal processing algorithms; Signal to noise ratio; Spectroscopy; Telescopes; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1723-0
Electronic_ISBN :
978-1-4244-1724-7
DOI :
10.1109/ICALIP.2008.4590017
