DocumentCode :
615324
Title :
Microscope image denoising algorithm based on wavelet transform
Author :
Yao Jin-li ; Lu Ling-yan
Author_Institution :
Coll. of Inf. Technol., Ningbo Dahongying Univ., Ningbo, China
fYear :
2013
fDate :
26-28 April 2013
Firstpage :
529
Lastpage :
532
Abstract :
When capturing images from the microscope imaging system, the images captured are blur and the information in the images is lost due to noise interference in the collection process. The process of microscopy imaging and the algorithm of microscope image denoising based on wavelet transform are discussed in this paper. Spectrum value and noise variance are used to evaluate the denoising effect. The best value of the wavelet transform number and the range of wavelet transform threshold parameter are obtained after many experiments. The experiments results show that the algorithm can be used without knowing any priori knowledge of the image, and it doesn´t depend on the image´s size to judge the de-nosing threshold and even doesn´t need the image´s noise variance information. The denoising effect using this method is better than using other traditional algorithms such as neighborhood average, median filter and low-pass filter.
Keywords :
image denoising; image segmentation; interference; low-pass filters; median filters; microscopy; wavelet transforms; collection process; denoising effect; image information; image noise variance information; low-pass filter; microscope image denoising algorithm; microscope median filter; microscopy imaging process; neighborhood average filter; noise interference; noise variance; spectrum value; wavelet transform number; wavelet transform threshold parameter; Computers; Lenses; Microscopy; Noise; Wavelet transforms; image denoising; image processing; microscope image; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2013 8th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4673-4464-7
Type :
conf
DOI :
10.1109/ICCSE.2013.6553967
Filename :
6553967
Link To Document :
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