: Govind Sharma
Designation : Professor
Date of Birth : December 18, 1956
Ph.D.: University of Southern California, Los Angeles (1984).
(Thesis Supervisor: Prof. R. Chellappa, presently with Univ. of
Thesis Title: Modern Two-dimensional Spectral Estimation).
M.Tech.: Electrical Engineering, Indian Institute of Technology,
B.Tech.: Electrical Engineering, Indian Institute of Technology,
1. (Principal Investigator) Segmentation of MR Medical Imaging
Data for Diagnostics . Sponsored by U.P. Council of Science and
Technology, 1999 - 2000. This project aimed at fur developing the
computerised segmentation techniques to used by MR radiologists in a
real-life hospital setting. Several fast and accurate algorithms for
image segmentation were developed.
2. (Principal Investigator) Development of Digital Signal
Processing Laboratory. Sponsored by the union Ministry for Human
Resource Development, 1992 to 1994. A high speed signal processing
laboratory based on state of the art computer interfaced ADSP systems
was developed for graduate studies and research work in the ACES at
IIT Kanpur. Subsequently Texas Instruments supported further
upgradation of this lab using TI-TMS platforms. The lab is now
extensively used for advanced work in signal processing.
3. (Co-investigator) Computer Vision. Sponsored by the All
India Council for Technical Education, 1995 -1998. This project
developed computer vision algorithms which were subsequently
implemented on high speed reconfigurable multiprocessor based vision
4. (Co-investigator) Low bit Rate Video Compression. Sponsored
by Silicon Automation Systems, 1997 - 99. The project supported
hardware development in Signal Processing and student fellowships for
development work. Algorithm development has been the main focus of
" Low Cost and Concurrent Algorithms for Adaptive Volterra and Linear
(Student: Dr. A. Chaturvedi)
" Nonuniform Sampling of Time Limited Signals Using Time Localisation
Properties of Wavelet Transform, 1997.
(Student: Dr. C. Ramesh)
" In Progress : Speech Recognition Using Neural Networks (Likely
completion date: Apr 2002)
(Student: Mr. S.U. Khan)
1. Shape Recovery in 2D- 3D MRI Medical Images using Level Set Method,
2. Estimation of Formant Parameter Variations Using Linear Prediction,
3. Boundary Detection in 3-D MRI Images Using Level Set Methods, March
4. Simulation of Joint Detection Scheme for Fast Frequency Hopped Code
Division Multiplexed Multi-access Scheme, May 1998.
5. Direction of Angle of Arrival Estimate, May 1995
6. ATS Method: Periodogram Smoothing by Nonparametric Regression,
7. Processing Nonuniform Data Using B-Splines, Dec. 1993.
8. Modelling and Recognition of EEG Signals, Dec. 1992.
9. Image Segmentation and Object Extraction Using Grey Level Pyramids,
10. Implementation of Algorithms for Model Reference Adaptive Control,
11. Texture Analysis using Markov Random Fields, March 1988.
12. Detection of Atomic Displacements in Field Ion Micrographs Using
Fourier Transform ,
1. Image Restoration for Reducing Block Artifacts Based on Adaptive
Constrained Optimization, Aug 1999.
2. Removing Block Artefacts in DCT Coded Images, July 1998.
3. Estimating Image Similarity Using Chromatic Berycenter, June 1997.
4. Image Compression Using Vector Quantization, June 1996.
5. Study of Image Data Compression and Implementation of JPEG, May
6.Software Based Motion Picture Coding, May 1994.
7. Some Image Processing Routines, May 1993.
1. Fast and Accurate Edge Based Segmentation with no Contour Smoothing
in 2-D real Images, April 2001. Best Project Award Winner.
2. Image Smoothing with Roof and Step Edge Preserving, April 2001.
3. Image Segmentation Based on Tree- Structured Markov Random Fields,
4. Segmentation of Magnetic Resonanant Images using Fuzzy Algorithms
for Vector Quantisation, April 2000.
5. Estimation of Image Noise Variance, April 2000.
6. Motion Adaptive Tracking Algorithm For Very Low Bit Rate Model
Assisted Coding of Video, April 1999.
7. Dynamic Image Data Compression in Spatial and Temporal Domain,
8. Morphological Image Enhancement, April 1999.
9. Automatic Segmentation of Brain MRI, April 1999.
10. Image Segmentation by EM Algorithm Initialised by Tree Structure
Scheme, April 1999.
11. Markov Random Field Segmentation of Brain MRI, April 1999.
12. Nonlinear Filtering and Fast Ray Tracing of 3-D Image Data, April
13. Voice Synthesiser for Text Reading, April 1999.
14. Partial Volume Bayesian Classification of Material Mixture in MR
Volume Data Using Voxel Histograms, April 1999.
15. Lossless Image compression using DCT and residuals, April 1998.
16. Image segmentation using fuzzy c-means clustering algorithm, April
17. Nonuniform sampling delta modulation, April 1997.
18. Image data compression using dyadic transform, April 1996.
19. Edge Detection in an Image Using the Recursive Wavelet Transform,
20. Accurate Image Rotation, April 1994.
21. Halftone Generation and Retrieval of the Grey Image, April 1993.
Papers in referred journals:
1. A New Family of Concurrent Algorithms for Adaptive Volterra and
Linear Filters, IEEE Transactions on Signal Processing, September
1999, vol. 47, no.9, pp. 2547-2551. (With Dr. A.K. Chaturvedi).
2. A Fast Method For Direction of Arrival Estimation, Sadhana,
December 1999, Vol 24, Part 6, pp. 507- 512. With A.K. Raina).
3. Scale-limitedness in Wavelet Transforms, Differential
Equations and Dynamical Systems, vol. 6, no. 1, January-April 1998,
pp. 211-218. (With C. Ramesh and P.R.K. Rao).
4. Two-dimensional spectrum estimation using non-causal
auto-regressive models, IEEE Trans. on Information Theory, May
1986, pp. 268-275. (With R. Chellappa).
5. A model based approach for estimation of two dimensional maximum
entropy power spectra, IEEE Trans. on Information Theory, Jan.
1985, pp. 90-99. . (With R. Chellappa).
Papers in conferences:
1. Speech Recognition using Neural Networks, Proceedings of
IEEE International Conference on Industrial Technology, Goa, Jan.
2000, pp. 432-437.
2. Articulatory Feature Based Neural Network for Continuous Speech
Recognition, Proceedings of the National Symposium on Recent
Trends in Signal and Systems, IIT Kanpur, Oct. 23 - 24, 1998, pp.
3. Image Processing, invited talk in All India Symposium on
Applications of Signal Processing, September 12 - 13, 1998,
4. Scale limitedness and sampling rate of time limited signals,
Proceedings of IEEE TENCON 1996, Australia, pp. 722-727.
5. Scale-limitedness in wavelet transform, Proceedings of Intl.
Conf. in Applied Mathematics: New directions in Applied Mathematics,
Hyderabad, Dec. 1995.
6. A novel method for recognition of EEG signals using hidden
Markov models, Proceedings of ICRABME'94, Hyderabad, pp. 3-6.
7. Parallel Recursive least squares algorithm for Adaptive Volterra
filters, Proceedings of Intl. Conf. on Circuits and systems, San
Diego, 1992, pp. 1247-1249.
8. RLS and fast RLS algorithms for Adaptive nonlinear Volterra
filter of any degree, Proceedings of Intl. Conf. on Information
and Systems (ICIS), AMSE 1991, Oct. 9-11, Hanhzhou, pp. 970-973.
9. Simultaneous confidence bands for two dimensional spectrum
estimates, Proceedings of ICASSP 1985, Tampa.
10. An iterative algorithm for 2-D robust spectral estimation,
Proceedings of ICASSP 1984, San Diego, pp. 4.4.1-4.4.4.
11. A Model Based Approach for 2-D MEPS Analysis, Proceedings
of ICASSP 1984, San Diego, pp. 4.5.1-4.5.4.
12. Two-dimensional spectral estimation, Workshop on Signal
Processing, Lake Tahoe, 1984.
13. Two-dimensional spectrum estimation using Markov random Field
models, Proceedings of Conf. on inforrmation Science and Systems,
Princeton, 1984, pp. 410-413.
14. Some recent advances in two-dimensional spectral estimation,
Proceedings of Intl. Conf. on Systems, Man and Cybernatics, Bombay/NewDelhi,
15. Two-dimensional spectral estimation using spatial
auto-regressive models, Proceedings of ICASSP, Boston, 1983.
16. Adaptive notch filtering for retrieval of two-dimensional
harmonics, Proceedings of Intl. Conf. on Information Science and
Systems, Baltimore, 1983, pp. 208-211.
Areas of Interests