DocumentCode :
3092756
Title :
Medical Image Enhancement Algorithm Based on Contourlet Transform
Author :
Jiang, Aiping ; Ren, Ping ; Yang, Pingyuan
Author_Institution :
Key Lab. of Electron. Eng., Heilongjiang Univ., Harbin, China
fYear :
2010
fDate :
17-19 Sept. 2010
Firstpage :
624
Lastpage :
627
Abstract :
A new medical image enhancement method aimed at optimizing contrast of image features while minimizing image noise is proposed in the paper based on contourlet transform using cycle spinning. We use the invariance contourlet to form the image representation and then deal with the contourlet coefficients with nonlinear transform as to enhance the details and meanwhile restrain the noise. The experiment results show that this method enhances the contrast of the image while avoiding over-enhancement of noise.
Keywords :
image enhancement; image representation; medical image processing; optimisation; transforms; contourlet transform; image features contrast optimization; image noise minimization; image representation; invariance contourlet; medical image enhancement algorithm; Biomedical imaging; Filter bank; Image edge detection; Image enhancement; Noise; Wavelet transforms; contourlet transform; cycle spinning; image enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8043-2
Electronic_ISBN :
978-0-7695-4180-8
Type :
conf
DOI :
10.1109/PCSPA.2010.156
Filename :
5636102
Link To Document :
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