Digital Heritage Reconstruction Using Super-resolution and Inpainting / by Milind G. Padalkar, Manjunath V. Joshi, Nilay L. Khatri.

Format:

Book

Author/Creator:

Padalkar, Milind G., Author.

Joshi, Manjunath V., Author.

Khatri, Nilay L., Author.

Series:

Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging, 2469-4223

Language:

English

Subjects (All):

Mathematics.

Image processing—Digital techniques.

Computer vision.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Local Subjects:

Mathematics.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Physical Description:

1 online resource (XVIII, 150 p.)

Edition:

1st ed. 2017.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2017.

Summary:

Heritage sites across the world have witnessed a number of natural calamities, sabotage and damage from visitors, resulting in their present ruined condition. Many sites are now restricted to reduce the risk of further damage. Yet these masterpieces are significant cultural icons and critical markers of past civilizations that future generations need to see. A digitally reconstructed heritage site could diminish further harm by using immersive navigation or walkthrough systems for virtual environments. An exciting key element for the viewer is observing fine details of the historic work and viewing monuments in their undamaged form. This book presents image super-resolution methods and techniques for automatically detecting and inpainting damaged regions in heritage monuments, in order to provide an enhanced visual experience. The book presents techniques to obtain higher resolution photographs of the digitally reconstructed monuments, and the resulting images can serve as input to immersive walkthrough systems. It begins with the discussion of two novel techniques for image super-resolution and an approach for inpainting a user-supplied region in the given image, followed by a technique to simultaneously perform super-resolution and inpainting of given missing regions. It then introduces a method for automatically detecting and repairing the damage to dominant facial regions in statues, followed by a few approaches for automatic crack repair in images of heritage scenes. This book is a giant step toward ensuring that the iconic sites of our past are always available, and will never be truly lost.

Contents:

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.

ISBN:

9783031025914

3031025911