Introduction to Digital Image Processing

The subject of digital image processing has migrated from a graduate to a junior or senior level course as students become more proficient in mathematical background earlier in their college education. With that in mind, Introduction to Digital Image Processing is simpler in terms of mathematical derivations and eliminates derivations of advanced subjects. Most importantly, the textbook contains an extensive set of programming exercises for students.The textbook examines the basic technologies needed to support image processing applications, including the characterization of continuous images, image sampling and quantization techniques, and two-dimensional signal processing techniques. It then covers the two principle areas of image processing: image enhancement and restoration techniques and extraction of information from an image. It concludes with discussions of image and video compression. Covers the mathematical representation of continuous images and discrete images Discusses the psychophysical properties of human vision Analyzes and compares linear processing techniques implemented by direct convolution and Fourier domain filtering Details restoration models, point and spatial restoration and geometrical image modification Includes morphological image processing, edge detection, image feature extraction, image segmentation, object shape analysis, and object detection Describes coding technique applicable to still image and video coding based upon point and spatial processing Outlines the widely adopted JPEG and MPEG still image and video coding standards The author’s accessible style provides historical background on the development of image processing techniques as well as a theoretical exposition. The inclusion of numerous exercises fully prepares students for further study.

CONTINUOUS IMAGE CHARACTERIZATION Continuous Image Mathematical Characterization Image RepresentationTwo-Dimensional SystemsTwo-Dimensional Fourier TransformImage Stochastic Characterization Psychophysical Vision Properties Light PerceptionEye PhysiologyVisual PhenomenaMonochrome Vision ModelColor Vision Model Photometry and ColorimetryPhotometryColor MatchingColorimetry ConceptsColor Spaces DIGITAL IMAGE CHARACTERIZATION Image Sampling and Reconstruction Image Sampling and Reconstruction ConceptsMonochrome Image Sampling SystemsMonochrome Image Reconstruction SystemsColor Image Sampling Systems Image QuantizationScalar QuantizationProcessing Quantized VariablesMonochrome and Color Image Quantization DISCRETE TWO-DIMENSIONAL LINEAR PROCESSING Discrete Image Mathematical Characterization Vector-Space Image RepresentationGeneralized Two-Dimensional Linear OperatorImage Statistical CharacterizationImage Probability Density ModelsLinear Operator Statistical Representation Superposition and ConvolutionFinite-Area Superposition and ConvolutionSampled Image Superposition and ConvolutionCirculant Superposition and ConvolutionSuperposition and Convolution Operator Relationships Unitary and Wavelet Transforms General Unitary TransformsFourier Transform, Cosine, Sine, and Hartley TransformsHadamard, Haar, and Daubechies TransformsKarhunen–Loeve TransformWavelet Transforms Linear Processing Techniques Transform Domain Transform Domain SuperpositionFast Fourier Transform ConvolutionFourier Transform Filtering IMAGE IMPROVEMENT Image Enhancement Contrast ManipulationHistogram ModificationNoise CleaningEdge CrispeningColor Image EnhancementMultispectral Image Enhancement Image Restoration Image Restoration ModelsSensor and Display Point Nonlinearity CorrectionContinuous Image Spatial Filtering RestorationPseudoinverse Spatial Image RestorationStatistical Estimation Spatial Image RestorationMulti-Plane Image Restoration Geometrical Image Modification Basic Geometrical MethodsSpatial WarpingGeometrical Image Resampling IMAGE ANALYSIS Morphological Image Processing Binary Image ConnectivityBinary Image Hit or Miss TransformationsBinary Image Shrinking, Thinning, Skeletonizing, and ThickeningBinary Image Generalized Dilation and ErosionBinary Image Close and Open OperationsGray Scale Image Morphological Operations Edge Detection Edge, Line, and Spot ModelsFirst-Order Derivative Edge DetectionSecond-Order Derivative Edge DetectionEdge-Fitting Edge DetectionLuminance Edge Detector PerformanceColor Edge DetectionLine and Spot Detection Image Feature Extraction Image Features EvaluationAmplitude FeaturesTransform Coefficient FeaturesTexture CharacterizationTexture FeaturesScale-Invariant Features Image Segmentation Amplitude SegmentationClustering SegmentationRegion SegmentationBoundary SegmentationTexture SegmentationSegment Labeling Shape Analysis Topological AttributesDistance, Perimeter, and Area MeasurementsSpatial MomentsShape Orientation DescriptorsFourier DescriptorsThinning and Skeletonizing Image Detection and Registration Template MatchingMatched Filtering of Continuous ImagesImage Registration IMAGE AND VIDEO COMPRESSIONPoint Processing Image Compression Pulse Code Modulation Coding of Monochrome ImagesStatistical Coding of Monochrome ImagesPredictive Coding of Monochrome ImagesPoint Processing Color Image CodingJPEG Lossless Image Coding Spatial Processing Image Compression Run Coding of Monochrome ImagesInterpolation Coding of Monochrome ImagesUnitary Transform Coding of Monochrome ImagesWavelet Coding of Monochrome ImagesSpatial Processing Color Image CodingJPEG Baseline Image Coding StandardJPEG2000 Image Coding Standard Video Compression Spatial Video Coding TechniquesSpatial/Temporal Video Coding TechniquesMPEG - 1 Video Coding StandardMPEG - 2 Video Coding StandardMPEG - 4 Video Coding Standards Appendices Annexes Bibliography Index Exercises appear at the end of each chapter.