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020 _a9783031025914
_9978-3-031-02591-4
024 7 _a10.1007/978-3-031-02591-4
_2doi
050 4 _aQA1-939
072 7 _aPB
_2bicssc
072 7 _aMAT000000
_2bisacsh
072 7 _aPB
_2thema
082 0 4 _a510
_223
100 1 _aPadalkar, Milind G.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984353
245 1 0 _aDigital Heritage Reconstruction Using Super-resolution and Inpainting
_h[electronic resource] /
_cby Milind G. Padalkar, Manjunath V. Joshi, Nilay L. Khatri.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXVIII, 150 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging,
_x2469-4223
505 0 _aPreface -- 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.
520 _aHeritage 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.
650 0 _aMathematics.
_911584
650 0 _aImage processing
_xDigital techniques.
_94145
650 0 _aComputer vision.
_984355
650 1 4 _aMathematics.
_911584
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
700 1 _aJoshi, Manjunath V.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984356
700 1 _aKhatri, Nilay L.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984357
710 2 _aSpringerLink (Online service)
_984359
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031014635
776 0 8 _iPrinted edition:
_z9783031037191
830 0 _aSynthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging,
_x2469-4223
_984360
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02591-4
912 _aZDB-2-SXSC
942 _cEBK
999 _c85652
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