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Zusatztext "This book is exactly what the title says: a very brief outline of the most popular methods used in image processing. Each chapter contains the absolute essentials of the subject with a large set of examples at the end and! of course! C++ code. ? the book could be used as a quick guide to the most standard image processing techniques."-Leslie P. Piegl! Zentralblatt MATH 1171"This book presents a compact overview of the current methods used in modern computer image processing and their applications. ? All chapters are accompanied by C++ implementation of the method. This book requires only some background in geometry! algebra! and calculus and can serve as an excellent starting book for anyone who needs to become familiar with current methods in the field of image processing."-EMS Newsletter! June 2009 Informationen zum Autor Meiqing Wang, Choi-Hong Lai Klappentext Written by experts in fractal-based image and video compression! this book strengthens readers' knowledge of fundamentals principles in image acquisition! conservation! processing! and manipulation! improving their ability to apply these techniques in real-world problems. The book begins with coverage of representation! moves on to communications and processing! and concludes with discussions of processing techniques based on image representations and transformations developed in earlier chapters. Suitable as a text for any course on image processing! the book can also be used for self-study by researchers. The accompanying CD-ROM contains code for all algorithms. Zusammenfassung Written by experts in fractal-based image and video compression, this book strengthens readers’ knowledge of fundamentals principles in image acquisition, conservation, processing, and manipulation, improving their ability to apply these techniques in real-world problems. The book begins with coverage of representation, moves on to communication Inhaltsverzeichnis Basic Concepts of ImagesAnalogue SignalsDigital SignalsGrey-Scale ImagesColour ImagesImage Storage FormatsVideoExercisesReferencesPartial Code ExamplesBasic Image Processing ToolsCorrelation Operation and Convolution OperationFourier TransformThe Discrete Cosine TransformThe Gabor TransformThe Wavelet TransformFurther Reading: Orthogonality and CompletenessExercisesReferencesPartial Code ExamplesPreprocessing Techniques for ImagesPixel Brightness (Grey-Level) TransformationsConcepts and Models of Image PreprocessingImage SmoothingImage EnhancementImage RestorationProcessing Methods Using Partial Differential EquationsFurther ReadingExercisesReferencesPartial Code ExamplesImage SegmentationThresholdingEdge-Based SegmentationRegion-Based SegmentationFurther ReadingExercisesReferencesPartial Code ExamplesMathematical MorphologySome Basic Concepts of Set TheoryMorphology for Binary ImagesMorphology for Grey-Scale ImagesFurther ReadingExercisesReferencesPartial Code ExamplesImage CompressionImage Fidelity MetricsLossless CompressionLossy CompressionImage Compression Standards: JPEG and MPEGFurther ReadingExercisesReferencesPartial Code ExamplesIndex ...
