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Wiley Digital Color Image Processing

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Description

An introduction to color in three-dimensional image processing and the emerging area of multi-spectral image processing The importance of color information in digital image processing is greater than ever. However, the transition from scalar to vector-valued image functions has not yet been generally covered in most textbooks. Now, Digital Color Image Processing fills this pressing need with a detailed introduction to this important topic.In four comprehensive sections, this book covers:The fundamentals and requirements for color image processing from a vector-valued viewpointTechniques for preprocessing color imagesThree-dimensional scene analysis using color information, as well as the emerging area of multi-spectral imagingApplications of color image processing, presented via the examination of two case studiesIn addition to introducing readers to important new technologies in the field, Digital Color Image Processing also contains novel topics such as: techniques for improving three-dimensional reconstruction, three-dimensional computer vision, and emerging areas of safety and security applications in luggage inspection and video surveillance of high-security facilities.Complete with full-color illustrations and two applications chapters, Digital Color Image Processing is the only book that covers the breadth of the subject under one convenient cover. It is written at a level that is accessible for first- and second-year graduate students in electrical and computer engineering and computer science courses, and that is also appropriate for researchers who wish to extend their knowledge in the area of color image processing. Review “This book is recommended for first and second-year graduate students in electrical and computing engineer and computer science courses, as well as for researchers with basic knowledge in image processing who wish to extend their knowledge in the area of color image processing.” (Blogcritics.org, April 30, 2008) From the Inside Flap An introduction to color in three-dimensional image processing and the emerging area of multi-spectral image processingThe importance of color information in digital image processing is greater than ever. However, the transition from scalar to vector-valued image functions has not yet been generally covered in most textbooks. Now, Digital Color Image Processing fills this pressing need with a detailed introduction to this important topic. In four comprehensive sections, this book covers: The fundamentals and requirements for color image processing from a vector-valued viewpointTechniques for preprocessing color imagesThree-dimensional scene analysis using color information, as well as the emerging area of multi-spectral imagingApplications of color image processing, presented via the examination of two case studiesIn addition to introducing readers to important new technologies in the field, Digital Color Image Processing also contains novel topics such as: techniques for improving three-dimensional reconstruction, three-dimensional computer vision, and emerging areas of safety and security applications in luggage inspection and video surveillance of high-security facilities. Complete with full-color illustrations and two applications chapters, Digital Color Image Processing is the only book that covers the breadth of the subject under one convenient cover. It is written at a level that is accessible for first- and second-year graduate students in electrical and computer engineering and computer science courses, and that is also appropriate for researchers who wish to extend their knowledge in the area of color image processing. From the Back Cover An introduction to color in three-dimensional image processing and the emerging area of multi-spectral image processingThe importance of color information in digital image processing is greater than ever. However, the transition from scalar to vector-valued image functio

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
20 May 2008
Listed Since
27 December 2006

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