A new wavelet-based adaptive algorithm for MR image enhancement

2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007

Volumn , Issue , 2007, Pages 600-603

  Wu, Jun ^a   Tian, Xiaolin ^a   Sun, Yankui ^b   Tang, Zesheng ^a,b  

^a MACAU UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Macao)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

Image enhancement; MR head image; Non linear adaptive rules; Wavelet transform

Indexed keywords

BIOMEDICAL ENGINEERING; IMAGE ENHANCEMENT; MATHEMATICAL TRANSFORMATIONS; WAVELET TRANSFORMS;

ENHANCEMENT ALGORITHMS; GRAY LEVELS; HIGHER FREQUENCIES; MR HEAD IMAGE; NEW ALGORITHMS; NON-LINEAR ADAPTIVE RULES; WAVELETS COEFFICIENTS;

ADAPTIVE ALGORITHMS;

EID: 48149091584     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCME.2007.4381806     Document Type: Conference Paper

References (15)

1. J. A. Stark, "Adaptive contrast enhancement using generalization of histogram equalization," IEEE Trans. Image Processing, vol. 9, no. 5, pp. 889-996, 2000.
2. RAMPONI G, STROBEL N, and MJTRA S K,et al, "Nonlinear unsharp masking methods for image contrast enhancement," J Electron Image, vol. 3, no. 7, pp. 353-366, 1996.
3. Wang Xiuxin, Hu Weiping, Liang Dongdong, and Qin Yiwei, "Han Yiping,Li Zuyuan,the Application of the Wavelet Transform in Medical Image Enhancement," Chinese Journal of Medical Physics, Vol. 19, No. 2, pp. 127-128, 2002.
4. Zheng Muzhi, Tao Ling, and Wang Huinan, "Multi-Scale Wavelet Transform Enhancement on MRI Image," China Medical Device Information,vol. 10, no.4, pp.9-11, 2004.
5. Laine A, Fan J, and Yang W. "Wavelets for contrast enhancement of digital mammography," IEEE Engineering in Medicine and Biology Magazine, vol. 14, no. 5, pp. 536-550, 2004.
6. Laine A, Schuler s, and Fan J, et al. "Mammographic feature enhancement by multiscale analysis." IEEE Trans on Medical Imaging, vol. 13, no. 4, pp. 725- 740, 1994.
7. J. C. fu,H. C. Lien, and S.T.C. Wong. "Wavelet-based histogram equalization enhancement of gastric sonogram images." Computerized Medical Imaging and Graphics, no.24, pp. 59- 68, 2000.
8. Zong X, Laine A F, and Geiser E A, et al. "De-noising and contrast enhancement via wavelet shrinkage and non-linear adaptive gain," Wavelet Applications 3: Proceeding of SPIE, Orlando, pp. 425- 455, 1996.
9. Hou Yanqin, i Junli, Wei Ping and Cheng Gang. "A Medical Image Enhancement method Based on Two-dimensional Discrete Wavelet Transform," Computer Engineering and Applications, pp. 227-229, July, 2006.
10. Donoho d L, "De-Noising by Soft - Thresholding," IEEE Trans IT, vol. 41, no. 3, pp. 613- 627, 1995.
11. Jewfik A, "On the Optimeal Choice of a Wavelet for Signal Representation," IEEE Trans IT, vol. 38, no. 2, pp. 747-756, 1992.
12. Xu Y, Weaver J B, and Healy C M, et al. "Wavelet transform domain filters: A spatially selective noise filtration technique," IEEE Transactions on Image Processing, vol. 3, no. 6, pp. 747 - 758, 1994.
13. Gao H, and Bruce AG. "WaveShrink with firm shrinkage," Statist, vol. 7, no. 4, pp. 855-874, 1997.
14. Xie Guihai, Wang Yinlong, and Ming Liang, "The application research of wavelet analysis in medicinal image processing," Nuclear Electronics & Detection Technology, vol. 24, no. 1, pp. 1-4,2004.
15. Rafael C. Gonzalez Richard e. woods, Digital Image Processing Second Edition, Publishing House of Electronics Industry, 2003.