Five, The Professional Image Processing System

Master Adobe Camera Raw for Raw Image Processing Photoshop  eBooks & eLearning

Posted by naag at Jan. 11, 2017
Master Adobe Camera Raw for Raw Image Processing Photoshop

Master Adobe Camera Raw for Raw Image Processing Photoshop
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 646 MB
Genre: eLearning | Language: English

Become Beginner to Advanced- Learn Complete Professional Raw Image Retouching & Processing Workflowz

Image Processing and Pattern Recognition: Fundamentals and Techniques (repost)  eBooks & eLearning

Posted by interes at Nov. 15, 2016
Image Processing and Pattern Recognition: Fundamentals and Techniques (repost)

Image Processing and Pattern Recognition: Fundamentals and Techniques by Frank Y. Shih
English | 2010 | ISBN: 0470404612 | 537 pages | PDF | 8,7 MB
Architectural Photography, 3rd Edition: Composition, Capture, and Digital Image Processing

Adrian Schulz, "Architectural Photography, 3rd Edition: Composition, Capture, and Digital Image Processing"
English | ISBN: 1937538761 | 2015 | PDF/EPUB/MOBI | 296 pages | 49 MB/45 MB/33 MB

A Concise Introduction to Image Processing using C++ (repost)  eBooks & eLearning

Posted by roxul at Jan. 17, 2016
A Concise Introduction to Image Processing using C++ (repost)

Meiqing Wang, Choi-Hong Lai, "A Concise Introduction to Image Processing using C++"
2008 | ISBN-10: 1584888970 | 264 pages | PDF | 5 MB
Applications of Evolutionary Computation in Image Processing and Pattern Recognition

Applications of Evolutionary Computation in Image Processing and Pattern Recognition By Erik Cuevas, Daniel Zaldívar, Marco Perez-Cisneros
2015 | 292 Pages | ISBN: 3319264605 | PDF | 18 MB

A Concise Introduction to Image Processing using C++  eBooks & eLearning

Posted by arundhati at Sept. 22, 2014
A Concise Introduction to Image Processing using C++

Meiqing Wang, Choi-Hong Lai , "A Concise Introduction to Image Processing using C++ "
2008 | ISBN-10: 1584888970 | 264 pages | PDF | 5 MB

Optical and Digital Image Processing: Fundamentals and Applications [Repost]  eBooks & eLearning

Posted by ChrisRedfield at May 6, 2014
Optical and Digital Image Processing: Fundamentals and Applications [Repost]

Gabriel Cristobal, ‎Peter Schelkens, ‎Hugo Thienpont - Optical and Digital Image Processing: Fundamentals and Applications
Published: 20101-06-07 | ISBN: 3527409564 | PDF | 988 pages | 11 MB

Digital Image Processing for Medical Applications  eBooks & eLearning

Posted by ChrisRedfield at Feb. 23, 2014
Digital Image Processing for Medical Applications

Geoff Dougherty - Digital Image Processing for Medical Applications
Published: 2009-05-11 | ISBN: 0521860857 | PDF | 462 pages | 16 MB

Advances in Low-Level Color Image Processing  eBooks & eLearning

Posted by libr at Jan. 18, 2014
Advances in Low-Level Color Image Processing

Advances in Low-Level Color Image Processing (Lecture Notes in Computational Vision and Biomechanics) by M. Emre Celebi and Bogdan Smolka
English | 2014 | ISBN: 9400775830 | 250 pages | PDF | 22,2 MB

Color perception plays an important role in object recognition and scene understanding both for humans and intelligent vision systems. Recent advances in digital color imaging and computer hardware technology have led to an explosion in the use of color images in a variety of applications including medical imaging, content-based image retrieval, biometrics, watermarking, digital inpainting, remote sensing, visual quality inspection, among many others.

Optical and Digital Image Processing: Fundamentals and Applications (repost)  eBooks & eLearning

Posted by interes at Nov. 29, 2013
Optical and Digital Image Processing: Fundamentals and Applications (repost)

Gabriel Cristobal, Peter Schelkens, "Optical and Digital Image Processing: Fundamentals and Applications"
English | 2011 | ISBN: 3527409564 | 988 pages | PDF | 11,4 MB

In recent years, Moore's law has fostered the steady growth of the field of digital image processing, though the computational complexity remains a problem for most of the digital image processing applications. In parallel, the research domain of optical image processing has matured, potentially bypassing the problems digital approaches were suffering and bringing new applications.