Courses
• Digital Image Processing
• Computer Vision
• Computer Graphics
• Pattern Recognition

Current Research
• Digital watermarking
• Biometric (Finger and Face recognition) authentication
• Video compression using color transfer technique
• Automatic language identification
• Musical genre classification
• Pattern recognition using Bayesian Networks
• Content based image retrieval
• Automatic car license plate recognition
• Image analysis using fractals
• Image understanding using differential geometry
• Speech and speaker recognition using ICA

Sponsored Projects
1. Digitally watermarked identity card
    Sponsored by: Comat Technology, Bangalore, India.
    Duration: November 2004 to April 2007.

2. Biometric authentication system
    Sponsored by: Creative Solutions, Delhi, India.
    Duration: January 2005 to June 2006.

3. Car License Plate Recognition
    Sponsored by: Creative Solutions, Delhi, India.
    Duration: July 2004 to December 2004.

Recent Publications:

Books
Subhasis Chaudhuri and Manjunath V. Joshi “ Motion-free Super-resolution ”, Springer-NY

1. Krutarth Bhatt, Suman K. Mitra, Ashim Roy, “A hybrid approach to noise resilient digital image watermarking”, WCVGIP 2006, Hyderabad, India, 2006.

2. Suryanarayana Pulipati, Suman K. Mitra, Asim Banerjee and Anil Roy, “A morphology based approach for car license plate extraction”, IEEE India conference, Chennai, India, 2005.

3. Jigish Trevedi, Anutosh Maitra and Suman K. Mitra, “A hybrid approach to speaker recognition in multi-speaker environment”, S. K. Pal et al. (Eds.): PReMI 2005, LNCS 3776, pp. 272-275, 2005.

4. Suryanarayana Pulipati, Suman K. Mitra, Asim Banerjee and Anil Roy, “Recognition of car license plate using morphology”, Indian International conference on Artifical Intelligence, Pune, India, 2005.

5. Kunal Bhandari, Suman K. Mitra and Ashish Jadhav, “A hybrid approach to digital image watermarking using singular value decomposition and spread spectrum”, S. K. Pal et al. (Eds.): PReMI 2005, LNCS 3776, pp. 447-452, 2005.

6. R. K. Kumar and S. K. Mitra, Color transfer using motion estimation and its application to video compression, A. Gagalowicz and W. Philips (Eds.): CAIP 2005, LNCS 3691, pp. 313-320, 2005.

7. S. K. Mitra, Te-Won Lee and M. Goldbaum, A Bayesian network based sequential inference for diagnosis of diseases from retinal images, Pattern Recognition Letters, Vol 26, pp. 459-470, 2005.

8. S. Athale, S. K. Mitra and A. Banerjee, A fractal based approach for face recognition, In Proceedings of International Conference on Intelligent Sensing and Information Processing (ICISIP’05), pp. 170-174, Chennai, 2005.

9. T. Londhe, A. Banerjee and S. K. Mitra, Face image segmentation using fractal codes, In Proceedings of Advances in Computing and Communications (ADCOM’04), pp. 643-646, Ahmedabad, 2004.

10. K. M. Rao and S. K. Mitra, Color transfer technique for video compression, In Proceedings of Advances in Computing and Communications (ADCOM’04), pp. 450-453, Ahmedabad, 2004.

11. T. Londhe, A. Banerjee and S. K. Mitra, Fractal based image segmentation, In Proceedings of Indian Conference on Vision, Graphics and Image Processing (ICVGIP’04), pp. 394-398, Kolkata, 2004.

12. K. M. Rao and S. K. Mitra, A study on the application of color transfer technique for video compression, In proceedings of Indian Conference on Vision, Graphics and Image Processing (ICVGIP’04), pp. 628-631, Kolkata, 2004.

13. S. K. Mitra, M. K. Kundu, C. A. Murthy, B. B. Bhattacharya and T. Acharya, Digital Watermarking using homogeneity of image, In Proceedings of the IEEE Region –10 conference, (TENCON’03), Bangalore, India, 2003.

14. S. K. Mitra, Te-Won Lee and M. Goldbaum, Application of Bayesian network for sequential diagnosis of diseases from retinal images, In Proceedings of the International Conference on Advances in Pattern Recognition (ICAPR’03), Kolkata, India, pp. 219 – 222, 2003.

15. M.V. Joshi, S. Chaudhuri and R. Panuganti, “A Learning-Based Method for Image Super-Resolution from Zoomed Observations,” IEEE Trans. Systems, Man and Cybernetics Part B (Special Issue on Learning in Computer Vision and Pattern Recognition), vol. 35, no. 3, pp. 527-537, 2005.

16. M.V. Joshi and S. Chaudhuri, “Joint Blind Restoration and Surface Recovery in Photometric Stereo,” Journal of Optical Society of America-A, vol. 22, no. 6, pp. 1066-76, 2005.

17. M. V. Joshi and S. Chaudhuri, “Simultaneous Estimation of Super-Resolved Depth Map and Intensity Field Using Photometric Cue,” Computer Vision and Image Understanding (accepted).

18. M.V. Joshi and S. Chaudhuri, “Photometric Stereo Under Blurred Observations,” Int. Conf. on Pattern Recognition (ICPR’ 04) 2004, Cambridge UK.

19. M.V. Joshi and S. Chaudhuri, “Zoom-Based Super-Resolution through SAR Model Fitting,” IEEE Int. Conf. on Image Processing (ICIP’ 04), Singapore, 2004.

20. D. Rajan, S. Chaudhuri and M.V. Joshi, “Multi-Objective Super-Resolution Technique: Concept and Examples”, IEEE Signal Processing Magazine (Special issue on Super-Resolution mage Reconstruction), vol. 20, no. 3, pp. 49-61, 2003.

21. C.V. Jiji, M.V. Joshi and S. Chaudhuri, “Use of Learnt Wavelet Coefficients in Image Super-Resolution,” International Journal of Imaging Systems and Technology, vol. 14, no. 3, pp. 105-112, 2004.

22. M.V. Joshi, S. Chaudhuri and R. Panuganti, “Super-Resolution Imaging: Use of Zoom as a Cue,” Image and Vision Computing, vol. 22, no. 14, pp. 1185-1196, 2004.

23. M.V. Joshi and S. Chaudhuri, “ A Learning-Based Method for Image Super-Resolution from Zoomed Observations,” Proc. of 5th Int. Conf. on Advances in Pattern Recognition, pp. 179-182, 2003.