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[null,"1.","Record Nr.",null,"UNINA9910967068603321"]
[null,null,"Titolo",null,"The essential guide to image processing / / editor,  Al Bovik"]
[null,null,"Pubbl/distr/stampa",null,"Amsterdam ; ; Boston, : Elsevier/AP, c2009"]
[null,null,"ISBN",null,"9786612168765"]
[{"$nulls":4},"9781282168763"]
[{"$nulls":4},"1282168762"]
[{"$nulls":4},"9780080922515"]
[{"$nulls":4},"0080922511"]
[null,null,"Edizione",null,"[2nd ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (877 p.)"]
[null,null,"Disciplina",null,"621.367"]
[null,null,"Soggetti",null,"Image processing - Digital techniques"]
[{"$nulls":4},"Image processing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Front Cover; The Essential Guide to Image Processing; Copyright Page; Table of Contents; Preface; About the Author; Chapter 1. Introduction to Digital Image Processing; 1.1 Types of Images; 1.2 Scale of Images; 1.3 Dimension of Images; 1.4 Digitization of Images; 1.5 Sampled Images; 1.6 Quantized Images; 1.7 Color Images; 1.8 Size of Image Data; 1.9 Objectives of this Guide; 1.10 Organization of the Guide; Reference; Chapter 2. The SIVA Image Processing Demos; 2.1 Introduction; 2.2 LabVIEW for Image Processing; 2.2.1 The LabVIEW Development Environment"]
[{"$nulls":4},"2.2.2 Image Processing and Machine Vision in LabVIEW2.3 Examples from the SIVA Image Processing Demos; 2.4 Conclusions; References; Chapter 3. Basic Gray Level Image Processing; 3.1 Introduction; 3.2 Notation; 3.3 Image Histogram; 3.4 Linear Point Operations on Images; 3.4.1 Additive Image Offset; 3.4.2 Multiplicative Image Scaling; 3.4.3 Image Negative; 3.4.4 Full-Scale Histogram Stretch; 3.5 Nonlinear Point Operations on Images; 3.5.1 Logarithmic Point Operations; 3.5.2 Histogram Equalization; 3.5.3 Histogram Shaping; 3.6 Arithmetic Operations Between Images"]
[{"$nulls":4},"3.6.1 Image Averaging for Noise Reduction3.6.2 Image Differencing for Change Detection; 3.7 Geometric Image Operations; 3.7.1 Nearest Neighbor Interpolation; 3.7.2 Bilinear Interpolation; 3.7.3 Image Translation; 3.7.4 Image Rotation; 3.7.5 Image Zoom; Chapter 4. Basic "]
[{"$nulls":4},"Binary Image Processing; 4.1 Introduction; 4.2 Image Thresholding; 4.3 Region Labeling; 4.3.1 Region Labeling Algorithm; 4.3.2 Region Counting Algorithm; 4.3.3 Minor Region Removal Algorithm; 4.4 Binary Image Morphology; 4.4.1 Logical Operations; 4.4.2 Windows; 4.4.3 Morphological Filters; 4.4.4 Morphological Boundary Detection"]
[{"$nulls":4},"4.5 Binary Image Representation and Compression4.5.1 Run-Length Coding; 4.5.2 Chain Coding; Chapter 5. Basic Tools for Image Fourier Analysis; 5.1 Introduction; 5.2 Discrete-Space Sinusoids; 5.3 Discrete-Space Fourier Transform; 5.3.1 Linearity of DSFT; 5.3.2 Inversion of DSFT; 5.3.3 Magnitude and Phase of DSFT; 5.3.4 Symmetry of DSFT; 5.3.5 Translation of DSFT; 5.3.6 Convolution and the DSFT; 5.4 2D Discrete Fourier Transform (DFT); 5.4.1 Linearity and Invertibility of DFT; 5.4.2 Symmetry of DFT; 5.4.3 Periodicity of DFT; 5.4.4 Image Periodicity Implied by DFT"]
[{"$nulls":4},"5.4.5 Cyclic Convolution Property of the DFT5.4.6 Linear Convolution Using the DFT; 5.4.7 Computation of the DFT; 5.4.8 Displaying the DFT; 5.5 Understanding Image Frequencies and the DFT; 5.5.1 Frequency Granularity; 5.5.2 Frequency Orientation; 5.6 Related Topics in this Guide; Chapter 6. Multiscale Image Decompositions and Wavelets; 6.1 Overview; 6.2 Pyramid Representations; 6.2.1 Decimation and Interpolation; 6.2.2 Gaussian Pyramid; 6.2.3 Laplacian Pyramid; 6.3 Wavelet Representations; 6.3.1 Filter Banks; 6.3.2 Wavelet Decomposition; 6.3.3 Discrete Wavelet Bases"]
[{"$nulls":4},"6.3.4 Continuous Wavelet Bases"]
[null,null,null,"Sommario/riassunto","This comprehensive and state-of-the art approach to image processing gives engineers and students a comprehensive introduction, and includes full coverage of key applications: image watermarking, fingerprint recognition, face recognition and iris recognition and medical imaging. To help learn the concepts and techniques, the book contains a CD-ROM of 70 highly interactive visual demonstrations. Key algorithms and their implementation details are included, as are the latest developments in the standards.* A complete and modern introduction to the basic and intermediate concepts of image"]