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theory, applications and interdisciplinarity of image restoration. This book emphasizes on some new topics of research that discuss the emergence;
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Main coverage: Basic concepts of PDE based image processing and related works. PDE based image interpolation. PDE based image restoration;
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Image Restoration: Fundamentals and Advances responds to the need to update most existing references on the subject, many of which were;
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) technologies, examining methods and algorithms for image analysis, optimization, segmentation, and restoration. It focuses on recent approaches and;
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applications of this work include image restoration, communication channel estimation, text restoration, and system modeling. A general approach to;
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, including wavelet transformation and developments; Image enhancement and restoration, including noise modeling and filtering; Segmentation schemes;
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: image enhancement and optimization, image restoration, and image compression.;
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theoretical and practical implications. The field of blind image deconvolution has several applications in different areas such as image restoration;
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compression, segmentation, old motion picture restoration, image/video interpolation, and noise smoothing. Chapters include: Optimal Design;
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, potentially bypassing the problems digital approaches were suffering and bringing new applications. The advancement of technology calls for;
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Race, Gender and Image Restoration Theory: How Digital Media Change the Landscape explores themes that are relevant to the socio-political;
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Race, Gender and Image Restoration Theory: How Digital Media Change the Landscape explores themes that are relevant to the socio-political;
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Applications, Image Enhancement and Restoration, Image Quality Assessment, Image Segmentation, Pattern Analysis and Recognition, Feature Extraction;
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Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image;
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superresolution imaging Image and video colorization Virtual restoration of artwork Video shot segmentation and surveillance Color Image;
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principle areas of image processing: image enhancement and restoration techniques and extraction of information from an image. It concludes with;
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on the internet, and the other discusses microscope image restoration. These chapters add significantly to the existing body of information;
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on the internet, and the other discusses microscope image restoration. These chapters add significantly to the existing body of information;
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, minimal realization problems in control theory, system identification problems in signal processing, and image restoration problems in image;
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Putting Image Repair to the Test: Quantitative Applications of Image Restoration Theory examines content analytic, attitudinal, and;
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applications in image/video processing, such as denoising, restoration, super-resolution, or inpainting. Inpainting and Denoising Challenges;
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applications in image/video processing, such as denoising, restoration, super-resolution, or inpainting. Inpainting and Denoising Challenges;
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, restoration, and reconstruction; image segmentation and feature extraction; registration; clustering, pattern classification, and data fusion. With;
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spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, image description, and;
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, restoration, color image processing, wavelets, image compression, morphology, segmentation, image description, and the fundamentals of object;
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Logarithmic Image Processing: Theory and Applications, the latest volume in the series that merges two long-running serials, Advances;
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, restoration of images, etc. Those in search of information to further their knowledge about image and video processing will be greatly assisted by;
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