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The book comprehensively covers almost all aspects of stereo vision. In addition reader can find topics from defining knowledge gaps to the state of the art algorithms as well as current application trends of stereo vision to the development of intelligent hardware modules and smart cameras. It would not be an exaggeration if this book is considered to be one of the most comprehensive books published in reference to the current research in the field of stereo vision. Research topics covered in this book makes it equally essential and important for students and early career researchers as well as senior academics linked with computer vision.

Image reconstruction. --- Image restoration --- Reconstruction, Image --- Restoration, Image --- Image processing --- Robotics

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Optical data processing --- Imaging systems --- Traitement optique de l'information --- Imagerie (Technique) --- Image reconstruction --- Image reconstruction. --- Imaging systems. --- Optical data processing. --- Beeldreconstructie. --- Beeldverwerking. --- Elektronische beeldweergave. --- #TELE:MI2 --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Radar --- Remote sensing --- Television --- Scanning systems --- Image restoration --- Reconstruction, Image --- Restoration, Image --- Image processing --- Optical equipment --- Equipment and supplies

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Blind deconvolution is a classical image processing problem which has been investigated by a large number of researchers over the last four decades. The purpose of this monograph is not to propose yet another method for blind image restoration. Rather the basic issue of deconvolvability has been explored from a theoretical view point. Some authors claim very good results while quite a few claim that blind restoration does not work. The authors clearly detail when such methods are expected to work and when they will not. In order to avoid the assumptions needed for convergence analysis in the Fourier domain, the authors use a general method of convergence analysis used for alternate minimization based on three point and four point properties of the points in the image space. The authors prove that all points in the image space satisfy the three point property and also derive the conditions under which four point property is satisfied. This provides the conditions under which alternate minimization for blind deconvolution converges with a quadratic prior. Since the convergence properties depend on the chosen priors, one should design priors that avoid trivial solutions. Hence, a sparsity based solution is also provided for blind deconvolution, by using image priors having a cost that increases with the amount of blur, which is another way to prevent trivial solutions in joint estimation. This book will be a highly useful resource to the researchers and academicians in the specific area of blind deconvolution.

Image processing --- Image reconstruction. --- Digital techniques. --- Image restoration --- Reconstruction, Image --- Restoration, Image --- Digital image processing --- Digital electronics --- Computer vision. --- Image Processing and Computer Vision. --- Signal, Image and Speech Processing. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Optical data processing. --- Signal processing. --- Image processing. --- Speech processing systems. --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment

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This book takes readers on a tour through modern methods in image analysis and reconstruction based on level set and PDE techniques, the major focus being on morphological and geometric structures in images. The aspects covered include edge-sharpening image reconstruction and denoising, segmentation and shape analysis in images, and image matching. For each, the lecture notes provide insights into the basic analysis of modern variational and PDE-based techniques, as well as computational aspects and applications.

Mathematics --- Physical Sciences & Mathematics --- Calculus --- Mathematics. --- Image processing. --- Partial differential equations. --- Computer mathematics. --- Partial Differential Equations. --- Computational Mathematics and Numerical Analysis. --- Image Processing and Computer Vision. --- Differential equations, Partial --- Image analysis --- Image reconstruction --- Inverse problems (Differential equations) --- Image restoration --- Reconstruction, Image --- Restoration, Image --- Image processing --- Differential equations, partial. --- Computer science --- Computer vision. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Partial differential equations --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Optical equipment

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Image processing --- Image reconstruction --- Orthographic projection --- Applied Physics --- Engineering & Applied Sciences --- Congresses --- Academic collection --- Conferences - Meetings --- Orthogonal projection --- Projection, Orthographic --- Image restoration --- Reconstruction, Image --- Restoration, Image --- Computer science. --- Artificial intelligence. --- Image processing. --- Pattern recognition. --- Computer Science. --- Image Processing and Computer Vision. --- Artificial Intelligence (incl. Robotics). --- Pattern Recognition. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Informatics --- Science --- Projection --- Orthographic Projection --- Computer vision. --- Optical pattern recognition. --- Artificial Intelligence. --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment --- Image processing - Congresses --- Image reconstruction - Congresses --- Orthographic projection - Congresses