Perceptual Digital Imaging
Computational Photography
Single-Sensor Imaging
Color Image Processing
Super-Resolution Imaging
Cultural Heritage Imaging
Visual Cryptography
Graphs: Theory & Practice
Image Restoration


A Unique Resource on Visual Perception Concepts in Digital Imaging!

Explore comprehensive coverage of perceptual digital imaging at the system design, implementation, and application levels!

A volume in the Digital Imaging and Computer Vision series

Perceptual Digital Imaging:
 Methods and Applications

Edited by:
Rastislav Lukac
Foveon, Inc. / Sigma Corp., San Jose, California, USA

Boca Raton, FL, CRC Press / Taylor & Francis, October 2012
ISBN 978-1-4398-6856-0


Graduate and postgraduate students in the departments of electrical engineering  (specialization digital imaging, image /video processing and analysis, computer vision, pattern recognition), computer science, and applied mathematics.


Scientists and engineers working in digital imaging, computer vision, medical imaging, computer graphics, signal processing, and optical engineering.


Visual perception is a complex process requiring interaction between the receptors in the eye that sense the stimulus and the neural system and the brain that are responsible for communicating and interpreting the sensed visual information. This process involves several physical, neural, and cognitive phenomena whose understanding is essential to design effective and computationally efficient imaging solutions. Building on advances in computer vision, image and video processing, neuroscience, and information engineering, perceptual digital imaging greatly enhances the capabilities of traditional imaging methods.

Filling a gap in the literature, Perceptual Digital Imaging: Methods and Applications comprehensively covers the system design, implementation, and application aspects of this emerging specialized area. It gives readers a strong, fundamental understanding of theory and methods, providing a foundation on which solutions for many of the most interesting and challenging imaging problems can be built.

The book features contributions by renowned experts who present the state of the art and recent trends in image acquisition, processing, storage, display, and visual quality evaluation. They detail advances in the field and explore human visual system-driven approaches across a broad spectrum of applications. These include image quality and aesthetics assessment, digital camera imaging, white balancing and color enhancement, thumbnail generation, image restoration, super-resolution imaging, digital halftoning and dithering, color feature extraction, semantic multimedia analysis and processing, video shot characterization, image and video encryption, display quality enhancement, and more.

This is a valuable resource for readers who want to design and implement more effective solutions for cutting-edge digital imaging, computer vision, and multimedia applications. Suitable as a graduate-level textbook or stand-alone reference for researchers and practitioners, it provides a unique overview of an important and rapidly developing research field.


Details recent advances in digital imaging and human visual perception modeling


Explains the latest techniques, algorithms, and solutions for image and video acquisition, processing, analysis, and evaluation


Provides comprehensive coverage of human visual system-driven computational imaging


Explores new digital image and video processing applications


Contains numerous examples, illustrations, color images, and tables summarizing results from quantitative studies

Additional material is available at the companion web site www.colorimageprocessing.org.

Home | Perceptual Digital Imaging | Computational Photography | Single-Sensor Imaging | Color Image Processing | Super-Resolution Imaging | Cultural Heritage Imaging | Visual Cryptography | Graphs: Theory & Practice | Image Restoration

Last update: 08/25/12

2006 Rastislav Lukac