Perceptual Digital Imaging: Methods and Applications: Digital Imaging and Computer Vision
Editat de Rastislav Lukacen Limba Engleză Hardback – 29 oct 2012
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, including:
- 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
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Specificații
ISBN-13: 9781439868560
ISBN-10: 1439868565
Pagini: 512
Ilustrații: 236 b/w images and 22 tables
Dimensiuni: 180 x 254 x 36 mm
Greutate: 1.18 kg
Editura: CRC Press
Seria Digital Imaging and Computer Vision
ISBN-10: 1439868565
Pagini: 512
Ilustrații: 236 b/w images and 22 tables
Dimensiuni: 180 x 254 x 36 mm
Greutate: 1.18 kg
Editura: CRC Press
Seria Digital Imaging and Computer Vision
Public țintă
Graduate students in the departments of electrical engineering, computer engineering, computer science, and art, whose orientation is computer vision, digital imaging, digital signal and image processing, visual data processing, computer graphics, multimedia, and visual communication; engineers involved in imaging software or hardware development for the consumer electronics industry; scientists and engineers working in computer vision, digital imaging, and computer graphics, including photography, surveillance, medical imaging, and astronomy.Cuprins
Characteristics of Human Vision
Stefan Winkler
An Analysis of Human Visual Perception Based on Real-Time Constraints of Ecological Vision
Haluk Öğmen
Image and Video Quality Assessment: Perception, Psychophysical Models, and Algorithms
Anush K. Moorthy, Kalpana Seshadrinathan, and Alan C. Bovik
Visual Aesthetic Quality Assessment of Digital Images
Congcong Li and Tsuhan Chen
Perceptually Based Image Processing Algorithm Design
James E. Adams, Jr., Aaron T. Deever, Efraín O. Morales, and Bruce H. Pillman
Joint White Balancing and Color Enhancement
Rastislav Lukac
Perceptual Thumbnail Generation
Wei Feng, Liang Wan, Zhouchen Lin, Tien-Tsin Wong, and Zhi-Qiang Liu
Patch-Based Image Processing: From Dictionary Learning to Structural Clustering
Xin Li
Perceptually Driven Super-Resolution Techniques
Nabil Sadaka and Lina Karam
Methods of Dither Array Construction Employing Models of Visual Perception
Daniel L. Lau, Gonzalo R. Arce, and Gonzalo J. Garateguy
Perceptual Color Descriptors
Serkan Kiranyaz, Murat Birinci, and Moncef Gabbouj
Concept-Based Multimedia Processing Using Semantic and Contextual Knowledge
Evaggelos Spyrou, Phivos Mylonas, and Stefanos Kollias
Perceptually Driven Video Shot Characterization
Gaurav Harit and Santanu Chaudhury
Perceptual Encryption of Digital Images and Videos
Shujun Li
Exceeding Physical Limitations: Apparent Display Qualities
Piotr Didyk, Karol Myszkowski, Elmar Eisemann, and Tobias Ritschel
Index
Stefan Winkler
An Analysis of Human Visual Perception Based on Real-Time Constraints of Ecological Vision
Haluk Öğmen
Image and Video Quality Assessment: Perception, Psychophysical Models, and Algorithms
Anush K. Moorthy, Kalpana Seshadrinathan, and Alan C. Bovik
Visual Aesthetic Quality Assessment of Digital Images
Congcong Li and Tsuhan Chen
Perceptually Based Image Processing Algorithm Design
James E. Adams, Jr., Aaron T. Deever, Efraín O. Morales, and Bruce H. Pillman
Joint White Balancing and Color Enhancement
Rastislav Lukac
Perceptual Thumbnail Generation
Wei Feng, Liang Wan, Zhouchen Lin, Tien-Tsin Wong, and Zhi-Qiang Liu
Patch-Based Image Processing: From Dictionary Learning to Structural Clustering
Xin Li
Perceptually Driven Super-Resolution Techniques
Nabil Sadaka and Lina Karam
Methods of Dither Array Construction Employing Models of Visual Perception
Daniel L. Lau, Gonzalo R. Arce, and Gonzalo J. Garateguy
Perceptual Color Descriptors
Serkan Kiranyaz, Murat Birinci, and Moncef Gabbouj
Concept-Based Multimedia Processing Using Semantic and Contextual Knowledge
Evaggelos Spyrou, Phivos Mylonas, and Stefanos Kollias
Perceptually Driven Video Shot Characterization
Gaurav Harit and Santanu Chaudhury
Perceptual Encryption of Digital Images and Videos
Shujun Li
Exceeding Physical Limitations: Apparent Display Qualities
Piotr Didyk, Karol Myszkowski, Elmar Eisemann, and Tobias Ritschel
Index
Notă biografică
Rastislav Lukac is currently a senior digital imaging scientist at Foveon, Inc./Sigma Corp. in San Jose, California. He has authored five books and contributed to twelve books. He has also published more than 200 scholarly research papers in the areas of digital camera image processing, color image and video processing, multimedia security, and microarray image processing. Dr. Lukac holds 12 patents and has authored 25 additional patent-pending inventions in the areas of digital color imaging and pattern recognition. For more information, see Dr. Lukac’s Color Image Processing website.