Image Processing For Computer Graphics And Vision


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Image Processing for Computer Graphics


Image Processing for Computer Graphics

Author: Jonas Gomes

language: en

Publisher: Springer Science & Business Media

Release Date: 2013-04-17


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Image processing is concerned with the analysis and manipulation of images by computer. The focus of this book is to provide a thorough treatment of image processing with an emphasis on those aspects most used in computer graphics. Throughout, the authors concentrate on describing and analyzing the underlying concepts rather than on presenting algorithms or pseudocode. As befits a modern introduction to this topic, a good balance is struck between discussing the underlying mathematics of the subject and the main topics covered: signal processing, data discretization, the theory of colour and different colour systems, operations in images, dithering and half-toning, warping and morphing, and image processing.

Image Processing for Computer Graphics


Image Processing for Computer Graphics

Author: Jonas Gomes

language: en

Publisher: Springer Science & Business Media

Release Date: 1997


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Image processing is a central theme in computer graphics. This book provides a modern introduction to both the underlying mathematics and the main concepts and techniques of the subject. It covers important modern techniques such as morphing and warping images as well as dithering, compositing, and other operations on images.

Image Processing for Computer Graphics and Vision


Image Processing for Computer Graphics and Vision

Author: Luiz Velho

language: en

Publisher: Springer

Release Date: 2009-08-29


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Image processing is concerned with the analysis and manipulation of images by computer. Providing a thorough treatment of image processing with an emphasis on those aspects most used in computer graphics, the authors concentrate on describing and analyzing the underlying concepts rather than on presenting algorithms or pseudocode. As befits a modern introduction to this topic, a good balance is struck between discussing the underlying mathematics and the main topics: signal processing, data discretization, the theory of colour and different colour systems, operations in images, dithering and half-toning, warping and morphing and image processing. This second edition reflects recent trends in science andtechnology that exploit image processing in computer graphics and vision applications. Stochastic image models and statistical methods for image processing are covered as are: A modern approach and new developments in the area, Probability theory for image processing, Applications in image analysis and computer vision.