000			03984nam a2200421 i 4500
999			_c387953 _d387953
001			387953
003			ES-MaUEC
005			20230427160912.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			220601s2017 sz | o |||| 0|eng d
020			_a9783031025914
024	7		_a10.1007/978-3-031-02591-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA1637 _b2017 EB
100	1		_aPadalkar, Milind G. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688292
245	1	0	_aDigital Heritage Reconstruction Using Super-resolution and Inpainting _cby Milind G. Padalkar, Manjunath V. Joshi, Nilay L. Khatri
250			_a1st edition 2017
264		1	_aCham _bSpringer International Publishing _c2017
300			_a1 recurso en línea (XVIII, 150 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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.
988			_aSynthesis Collection of Technology_2017
650		7	_2embne _9413188 _aProceso digital de imágenes
700	1		_aJoshi, Manjunath V. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688293
700	1		_aKhatri, Nilay L. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688294
776	0	8	_iPrinted edition: _z9783031014635
776	0	8	_iPrinted edition: _z9783031037191
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02591-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2023 _dz _eb _zSI