Digital Heritage Reconstruction Using Super-resolution and Inpainting

Milind G. Padalkar, Dhirubhai Ambani Institute of Information and Communication Technology Milind G. Padalkar received a B.E. degree in information technology from the University of Mumbai, India, in 2008 and an M.Tech. degree in computer engineering from Sardar Vallabhbhai National Institute of Technology, Surat, India, in 2010. Currently he is pursuing a Ph.D. degree in information and communication technology and worked as a Junior Research Fellow from 2011 to 2016 (in the Indian Digital Heritage project) at Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India. His research interests include image processing and computer vision.Manjunath V. Joshi received a B.E. degree from the University of Mysore, Mysore, India, and M.Tech. and Ph.D. degrees from the Indian Institute of Technology Bombay (IIT Bombay), Mumbai, India. Currently, he is serving as a Professor with the Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India. He has been involved in active research in the areas of signal processing, image processing and computer vision. He has coauthored a book entitled Motion-Free Super Resolution (Springer, New York). Dr. Joshi was a recipient of the Outstanding Researcher Award in Engineering Section by the Research Scholars Forum of IIT Bombay. He was also a recipient of the Best Ph.D. Thesis Award by Infineon India and the Dr. Vikram Sarabhai Award for the year 2006-2007 in the field of information technology constituted by the Government of Gujarat, India.Nilay L. Khatri received his B.Tech. degree in electronics and communication engineering from the Institute of Technology, Nirma University, Ahmedabad, India, in 2008 and an M.Tech. degree in information and communication technology from Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India, in 2011. He has worked as a Junior Research Fellow in the Indian Digital Heritage project at DA-IICT, Gandhinagar, India, from 2011 to 2014. His research interests include image processing and 3D computer vision. He is particularly interested in 3D content generation from 2D data by incorporating human interactions in computer vision algorithms. Currently, he is working as an Image Processing Research Engineer at Jekson-Vision, India.

Preface.- Acknowledgments.- Introduction.- Image Super-resolution: Self-learning, Sparsity and Gabor Prior.- Self-learning: Faster, Smarter, Simpler.- An Exemplar-based Inpainting Using an Autoregressive Model.- Attempts to Improve Inpainting.- Simultaneous Inpainting and Super-resolution.- Detecting and Inpainting Damaged Regions in Facial Images of Statues.- Auto-inpainting Cracks in Heritage Scenes.- Challenges and Future Directions.- Bibliography.- Authors' Biographies.