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008			210528s2021 gw | s |||| 0|eng d
020			_a9783030679217
024	7		_a10.1007/978-3-030-67921-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA1634 _b2021 EB
245	1	0	_aComputational Intelligence Methods for Super-Resolution in Image Processing Applications _cedited by Anand Deshpande, Vania V. Estrela, Navid Razmjooy.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XIV, 305 páginas) _b155 ilustraciones, 110 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aPart I. A Panorama of Computational Intelligence in Super-Resolution Imaging -- Chapter 1. Introduction to Computational Intelligence and Super-Resolution -- Chapter 2. Review on Fuzzy Logic Systems with Super-Resolved Imaging and Metaheuristics for Medical Applications -- Chapter 3. Super-Resolution with Deep Learning Techniques-A Review -- Chapter 4. A Comprehensive Review of CAD Systems in Ultrasound and Elastography for Breast Cancer Diagnosis -- Part II. State-of-the-Art Computational Intelligence in Super-Resolution Imaging -- Chapter 5. Pictorial Image Synthesis from Text and Its Super-Resolution using Generative Adversarial Networks -- Chapter 6. Analysis of Lossy and Lossless Compression Algorithms for Computed Tomography Medical Images Based on Bat and Simulated Annealing Optimization Techniques -- Chapter 7. Super resolution-based Human-Computer Interaction System for Speech and Hearing Impaired using Real-Time Hand Gesture Recognition System -- Chapter 8. Lossy Compression of Noisy Images Using Autoencoders for Computer Vision Applications -- Chapter 9. Recognition of Handwritten Nandinagari Palm Leaf Manuscript Tex -- Chapter 10. Deep Image Prior and Structural Variation Based Super-Resolution Network for Fluorescein Fundus Angiography Images -- Chapter 11. Lightweight Spatial Geometric Models Assisting Shape Description and Retrieval and Relative Global Optimum Based Measure for Fusion -- Chapter 12. Dual-Tree Complex Wavelet Transform and Deep CNN-based Super-Resolution for Video Inpainting with Application to Object Removal and Error Concealment -- Chapter 13. Super-Resolution Imaging and Intelligent solution for Classification, Monitoring and Diagnosis of Alzheimer's Disease -- Chapter 14. Image Enhancement using Non-Local Prior and Gradient Residual Minimization for Improved Visualization of Deep Underwater Image -- Chapter 15. Relative Global Optimum Based Measure for Fusion Technique in Shearlet Transform Domain for Prognosis of Alzheimer Disease.
520	3		_aThis book explores the application of deep learning techniques within a particularly difficult computational type of computer vision (CV) problem ─ super-resolution (SR). The authors present and discuss ways to apply computational intelligence (CI) methods to SR. The volume also explores the possibility of using different kinds of CV techniques to develop and enhance the tools/processes related to SR. The application areas covered include biomedical engineering, healthcare applications, medicine, histology, and material science. The book will be a valuable reference for anyone concerned with multiple multimodal images, especially professionals working in remote sensing, nanotechnology and immunology at research institutes, healthcare facilities, biotechnology institutions, agribusiness services, veterinary facilities, and universities. Demystifies computational intelligence for those working outside of engineering and computer science; Introduces cross-disciplinary platforms and dialog; Emphasizes modularity for enhancing computational intelligence frameworks.
988			_aSpringer_Robotics_2021
650		7	_2embne _9159793 _aVisión por ordenador
700	1		_aDeshpande, Anand M. _eeditor literario _0(orcid)0000-0002-1500-0981 _1https://orcid.org/0000-0002-1500-0981 _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682362 _d1972- _q(Anand Murlidhar),
700	1		_aEstrela, Vania V. _eeditor literario _0(orcid)0000-0002-4465-7691 _1https://orcid.org/0000-0002-4465-7691 _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682363
700	1		_aRazmjooy, Navid, _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682364 _d1987-
776	0	8	_iPrinted edition: _z9783030679200
776	0	8	_iPrinted edition: _z9783030679224
776	0	8	_iPrinted edition: _z9783030679231
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-67921-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE