Computer Image

Optimization Techniques in Computer Vision: Ill-Posed Problems and Regularization

Optimization Techniques in Computer Vision: Ill-Posed Problems and Regularization (Advances in Computer Vision and Pattern Recognition) by Mongi A. Abidi
English | 21 Dec. 2016 | ISBN: 3319463632 | 312 Pages | PDF | 7.47 MB

This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives the best solution based on numerical minimization of a single, scalar-valued objective function or cost function.
Digital Image Processing and Analysis: Human and Computer Vision Applications with CVIPtools (2nd Edition) (Repost)

Digital Image Processing and Analysis: Human and Computer Vision Applications with CVIPtools (2nd Edition) By Scott E Umbaugh
2011 | 977 Pages | ISBN: 143980205X | PDF | 105 MB

Digital Image Processing  eBooks & eLearning

Posted by Underaglassmoon at April 17, 2016
Digital Image Processing

Digital Image Processing: An Algorithmic Introduction Using Java, Second Edition
Springer | Image Processing | March 25 2016 | ISBN-10: 1447166833 | 811 pages | pdf | 33 mb

Authors: Burger, Wilhelm, Burge, Mark J.
Texts in Computer Science
Updated and expanded new edition
Presents an accessible introduction to the methods of digital image processing
Describes the most important procedures, with formal and mathematical aspects discussed at a fundamental level
Provides practical examples and exercises throughout, supported by additional supplementary material at an associated website

Dense Image Correspondences for Computer Vision  eBooks & eLearning

Posted by roxul at March 16, 2016
Dense Image Correspondences for Computer Vision

Tal Hassner, "Dense Image Correspondences for Computer Vision"
English | ISBN: 3319230476 | 2016 | 308 pages | PDF | 19 MB
"Image Processing in Optical Coherence Tomography using Matlab" by Robert Koprowski, Zygmunt Wróbel

"Image Processing in Optical Coherence Tomography using Matlab" by Robert Koprowski, Zygmunt Wróbel
Institute of Computer Science, Department of Computer Biomedical Systems
UniSil | 2011 | ISBN: 9788362462025 | 176 pages | PDF | 16 MB

The monograph comprises proposals of new and also of known algorithms, modified by authors, for image analysis and processing, presented on the basis of example of Matlab environment with Image Processing tools. The results are not only obtained fully automatically, but also repeatable, providing doctors with quantitative information on the degree of pathology occurring in the patient.
Combinatorial Maps: Efficient Data Structures for Computer Graphics and Image Processing (Repost)

Guillaume Damiand, Pascal Lienhardt, "Combinatorial Maps: Efficient Data Structures for Computer Graphics and Image Processing"
English | ISBN: 1482206528 | 2014 | 404 pages | PDF | 117 MB

Local Image Descriptor: Modern Approaches  

Posted by Underaglassmoon at Jan. 28, 2016
Local Image Descriptor: Modern Approaches

Local Image Descriptor: Modern Approaches
Springer | Image Processing | February 2, 2016 | ISBN-10: 3662491710 | 99 pages | pdf | 3.27 mb

Authors: Fan, Bin, Wang, Zhenhua, Wu, Fuchao
Maximizes reader insights into local image description, both on classical methods and the state-of-the-art ones
Broadens your understanding on the development of this area and supplies you the most promising new directions
Reinforces basic principles with respect to designing robust and discriminative local image descriptors
Explains how to use local image descriptors for various computer vision tasks
Multimedia Image and Video Processing, Second Edition (Image Processing Series)

"Multimedia Image and Video Processing" by Ling Guan, Yifeng He, Sun-Yuan Kung
Publisher: CRC Press; 2 edition | 2012 | ISBN: 143983086X | 828 pages | PDF | 28,7 MB

Dr. Ling Guan is a Tier I Canada research chair in multimedia and computer technology and a professor of electrical and computer engineering at Ryerson University. Dr. Guan is a fellow of the IEEE, the Engineering Institute of Canada, and the Canadian Academy of Engineering. He earned a PhD from the University of British Columbia. His research areas encompass image and multimedia signal processing and communications.
High-Dynamic-Range (HDR) Vision: Microelectronics, Image Processing, Computer Graphics (Repost)

High-Dynamic-Range (HDR) Vision: Microelectronics, Image Processing, Computer Graphics By Bernd Hoefflinger
2007 | 255 Pages | ISBN: 3540444327 | PDF | 33 MB
Computer Vision for X-Ray Testing: Imaging, Systems, Image Databases, and Algorithms

Domingo Mery, "Computer Vision for X-Ray Testing: Imaging, Systems, Image Databases, and Algorithms"
2015 | ISBN-10: 3319207466 | 347 pages | PDF | 18 MB