Image Processing for Computer Graphics and Vision (Texts in Computer Science) - Tapa blanda

Acerca del autor

Tiago Novello is a Postdoctoral Researcher at IMPA Vision and Graphics (VISGRAF) Laboratory. He obtained a D.Sc. in Applied Mathematics at Pontifícia Universidade Católica do Rio de Janeiro, an M.Sc. in Mathematics from the Universidade Federal de Alagoas, and a B.Sc. in Mathematics at Universidade Estadual do Paraná. Vinícius da Silva is a Postdoctoral Researcher at PUC-Rio. He obtained his D.Sc. and M.Sc in Computer Science from the Federal University of Rio de Janeiro. His research interests are Real-Time Computer Graphics, Virtual Reality, Games, and Machine Learning, with a current focus on Real-Time Ray Tracing. Luiz Velho is a Senior Researcher/Professor at IMPA and the leading scientist of the VISGRAF Laboratory. He received a B.E. in Industrial Design from ESDI, an M.S. in Computer Graphics from the MIT/Media Lab, and a Ph.D. in Computer Science from the University of Toronto. His experience spans the fields of modeling, rendering, imaging, and animation.

De la contraportada

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 and vision, this fully revised second edition concentrates on describing and analyzing the underlying concepts of this subject.

As befits a modern introduction to this topic, a good balance is struck between discussing the underlying mathematics and the main topics of signal processing, data discretization, the theory of color and different color systems, operations in images, dithering and half-toning, warping and morphing, and image processing. Significantly expanded and revised, this easy-to-follow text/reference reflects recent trends in science and technology that exploit image processing in computer graphics and vision applications. Stochastic image models and statistical methods for image processing are covered, as is probability theory for image processing, and a focus on applications in image analysis and computer vision.

Features:

• Includes 5 new chapters and major changes throughout

• Adopts a conceptual approach with emphasis on the mathematical concepts and their applications

•Introduces an abstraction paradigm that relates mathematical models with image processing techniques and implementation methods - used throughout to help understanding of the mathematical theory and its practical use

• Motivates through an elementary presentation, opting for an intuitive description where needed

• Contains adopted innovative formulations whenever necessary for clarity of exposition

• Provides numerous examples and illustrations, as an aid to understanding

• Focuses on the aspects of image processing that have importance in computer graphics and vision applications

• Offers a comprehensive introductory chapter for instructors

This comprehensive text imparts a good conceptual understanding of the topic, as a basis for further study, and is suitable both as a textbook and a professional reference. The current extended edition is a must-have resource and guide for all studying or interested in this field.