Computer Vision, Graphics and Image Processing

1. Front Matter

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2. Image Restoration and Super-Resolution

   1. Edge Model Based High Resolution Image Generation

      • Malay Kumar Nema, Subrata Rakshit, Subhasis Chaudhuri

      Pages 1-12

   2. Greyscale Photograph Geometry Informed by Dodging and Burning

      • Carlos Phillips, Kaleem Siddiqi

      Pages 13-24

   3. A Discontinuity Adaptive Method for Super-Resolution of License Plates

      • K. V. Suresh, A. N. Rajagopalan

      Pages 25-34

   4. Explicit Nonflat Time Evolution for PDE-Based Image Restoration

      • Seongjai Kim, Song-Hwa Kwon

      Pages 35-44

   5. Decimation Estimation and Super-Resolution Using Zoomed Observations

      • Prakash P. Gajjar, Manjunath V. Joshi, Asim Banerjee, Suman Mitra

      Pages 45-57

3. Segmentation and Classification

   1. Description of Interest Regions with Center-Symmetric Local Binary Patterns

      • Marko Heikkilä, Matti Pietikäinen, Cordelia Schmid

      Pages 58-69

   2. An Automatic Image Segmentation Technique Based on Pseudo-convex Hull

      • Sanjoy Kumar Saha, Amit Kumar Das, Bhabatosh Chanda

      Pages 70-81

   3. Single-Histogram Class Models for Image Segmentation

      • F. Schroff, A. Criminisi, A. Zisserman

      Pages 82-93

   4. Learning Class-Specific Edges for Object Detection and Segmentation

      • Mukta Prasad, Andrew Zisserman, Andrew Fitzgibbon, M. Pawan Kumar, P. H. S. Torr

      Pages 94-105

   5. Nonparametric Neural Network Model Based on Rough-Fuzzy Membership Function for Classification of Remotely Sensed Images

      • Niraj Kumar, Anupam Agrawal

      Pages 106-117

   6. Aggregation Pheromone Density Based Image Segmentation

      • Susmita Ghosh, Megha Kothari, Ashish Ghosh

      Pages 118-127

   7. Remote Sensing Image Classification: A Neuro-fuzzy MCS Approach

      • B. Uma Shankar, Saroj K. Meher, Ashish Ghosh, Lorenzo Bruzzone

      Pages 128-139

   8. A Hierarchical Approach to Landform Classification of Satellite Images Using a Fusion Strategy

      • Aakanksha Gagrani, Lalit Gupta, B. Ravindran, Sukhendu Das, Pinaki Roychowdhury, V. K. Panchal

      Pages 140-151

4. Image Filtering/Processing

   1. An Improved ‘Gas of Circles’ Higher-Order Active Contour Model and Its Application to Tree Crown Extraction

      • Péter Horváth, Ian H. Jermyn, Zoltan Kato, Josiane Zerubia

      Pages 152-161

   2. A New Extension of Kalman Filter to Non-Gaussian Priors

      • G. R. K. S. Subrahmanyam, A. N. Rajagopalan, R. Aravind

      Pages 162-171

   3. A Computational Model for Boundary Detection

      • Gopal Datt Joshi, Jayanthi Sivaswamy

      Pages 172-183

   4. Speckle Reduction in Images with WEAD and WECD

      • Jeny Rajan, M. R. Kaimal

      Pages 184-193

   5. Image Filtering in the Compressed Domain

      • Jayanta Mukherjee, Sanjit K. Mitra

      Pages 194-205

   6. Significant Pixel Watermarking Using Human Visual System Model in Wavelet Domain

      • M. Jayalakshmi, S. N. Merchant, U. B. Desai

      Pages 206-215

The Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) is a forum bringing together researchers and practitioners in these related areas, coming from national and international academic institutes, from government research and development laboratories, and from industry. ICVGIP has been held biannually since its inception in 1998, attracting more participants every year, including international participants. The proceedings of ICVGIP 2006, published in Springer's series Lecture Notes in Computer Science, comprise 85 papers that were selected for presentation from 284 papers, which were submitted from all over the world. Twenty-nine papers were oral presentations, and 56 papers were presented as posters. For the first time in ICVGIP, the review process was double-blind as common in the major international conferences. Each submitted paper was assigned at least three reviewers who are experts in the relevant area. It was difficult to select such a few papers, as there were many other deserving, but those could not be accommodated.

• Resolution
• Stereo
• biometrics
• classification
• computer vision
• filtering
• image processing
• visualization
• algorithm analysis and problem complexity

• Department of Computer Science and Engineering, IIT Delhi, New Delhi, India

  Prem K. Kalra

• School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel

  Shmuel Peleg

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