Image Technology Design: A Perceptual Approach (Hardcover)
- 出版商: Springer
- 出版日期: 2003-05-31
- 售價: $1,400
- 貴賓價: 9.5 折 $1,330
- 語言: 英文
- 頁數: 544
- 裝訂: Hardcover
- ISBN: 1402074611
- ISBN-13: 9781402074615
貴賓價: $257OpenCV 2 電腦視覺編程手冊 (OpenCV 2 Computer Vision Application Programming Cookbook)
貴賓價: $621電腦視覺－演算法與應用 (Computer Vision: Algorithms and Applications)
貴賓價: $428LLVM Cookbook中文版
貴賓價: $1,901Object-Oriented Design with UML and Java (Paperback)
Image Technology Design: A Perceptual Approach is an essential reference for both academic and professional researchers in the fields of image technology, image processing and coding, image display, and image quality. It bridges the gap between academic research on visual perception and image quality and applications of such research in the design of imaging systems.
This book has been written from the point of view of an electrical engineer interested in the display, processing and coding of images, and frequently involved in applying knowledge from visual psychophysics, experimental psychology, statistics, etc., to the design of imaging systems. It focuses on the exchange of ideas between technical disciplines in image technology design (such as image display or printer design and image processing) and visual psychophysics. This is accomplished by the consistent use of a single mathematical approach (based on linear vector spaces) throughout. Known facts from color vision, image sampling and quantization are given a new formulation and, in some instances, a new interpretation.
Image Technology Design: A Perceptual Approach is also of interest to those working in signal processing, linear algebra, visual (color/spatial) perception, psychophysics, psychometrics, and statistics.
Table of Contents:
1. Visual Perception And Linear System Theory. 2. Linear System Theory And Vector Spaces. 3. Color Perception And Colorimetry. 4. Color Management. 5. Psychophysical Measurement And Modelling Of Image Quality. 6. Discrete Periodic Signals And Fourier Transformations. 7. Image Sampling And Interpolation. 8. Spatio-Temporal Characteristics Of The Human Visual System. 9. Optimizing Sampling Structures. 10. Image Quantization. 11. Double-Ended Instrumental Models Of Image Quality. 12. Single-Ended Instrumental Models Of Image Quality. References. Index.