REFERENCES
- A K Jain, Fundamentals of digital Image Processing, Englewood Cliff, N J: Prentice Hall, 1989.
- R D Martin & D J Thomson, Robust resistant spectrum estimation, Proc of IEE, vol 70, pp 1097–1115, Sept 1982.
- S Sucher, Removal of impulse noise by selective filtering, Proceedings of IEEE International Conf on Image Processing, vol 2, pp 502–506, Austin, Nov 1994.
- T S Huang, G J Yang & G Y Tang, A Fast Two Dimensional Median Filtering Algorithm, IEEE, Trans on Acoustics, Speech, Signal Processing, vol ASSP-27, no 1, Feb 1979.
- I Pitas & A N Venetsanopoulos, Nonlinear Digital Filters, Kluwer, 1990.
- Piotr S Windyga, Fast Impulsive Noise Removal, IEEE Trans on Image Processing, vol 10, no 1, January 2001, pp 173–179.
- G Panda & S K Maharatha, Efficient filtering of Image data corrupted by Impulse Noise, Proc of International Conference on Signal Processing Applications and Technology (ICSPAT'96) Boston, vol 1, pp 1032–1035, Oct, 1996.
- G Panda, B Majhi & P K Dash, Fuzzy logic based Impulse Noise detection and restoration of Image, Proceedings of Int Conference on Advance Computing(ADCOM), University of Roorkee, pp 8–12, Dec 20–22, 1999.
- G Panda, B Majhi & P K Dash, Development of Efficient Filtering Techniques for Image Data Corrupted by Impulse Noise, The Journal of the Computer Society of India, vol 30 no 1, March 2000, pp 25–33.
- Symon Haykin, Artificial Neural Networks, A Comprehensive Foundation, Prentice Hall.
- I Daubechies, The Wavelet Transform, time frequency localization and signal analysis, IEEE Trans on Information Theory, vol 36, pp 961–1005, 1990.
- S G Chang, B Yu & M Vetterli, Spatially Adaptive Wavelet Thresholding with Context Modeling for Image Denoising, IEEE Transaction, Image Processing, vol 9, no 9, pp 1522–1531, Sept 2000.
- S G Chang, B Yu & M Vetterli, Adaptive Wavelet Thresholding for Image denoising and Compression, IEEE Transaction, Image Processing, vol 9, no 9 pp 1532–1546, Sept 2000.
- D L Donoho & I M Johnstone, Ideal spatial adaptation by wavelet shrinkage, Biometrika, vol 81, pp 425–455, 1995.
- S Mallat, A theory for multiresolutional signal decomposition: the wavelet representation, IEEE Trans Pattern Recognition and Machine Intelligence, 11 (7), pp 674–693, July 1989.