Title :
Microarray image de-noising using stationary wavelet transform
Author :
Wang, X.H. ; Istepanian, R.S.H. ; Song, Y.H.
Author_Institution :
E-Med Syst. & Bio-Inf. Eng. Group, Brunel Univ., Uxbridge, UK
Abstract :
Presents a stationary wavelet transform (SWT) method to de-noise microarray images. It is well known that SWT is time invariant. Hence it is particularly important in statistical signal processing applications, such as signal detection and de-noising. The testing result on a sample microarray image has shown that a clear and a better resolution image is obtained using this method.
Keywords :
DNA; biological techniques; biology computing; discrete wavelet transforms; image denoising; image resolution; medical image processing; DNA sequences; bioinformatics; microarray image de-noising; resolution; sample microarray image; signal detection; stationary wavelet transform; statistical signal processing; time invariant; Biomedical signal processing; Discrete wavelet transforms; Image denoising; Image processing; Low pass filters; Noise level; Noise reduction; Signal analysis; Signal resolution; Wavelet transforms;
Conference_Titel :
Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference on
Print_ISBN :
0-7803-7667-6
DOI :
10.1109/ITAB.2003.1222405
