Digital Pictures
Representation and Compression
Published on 24. December 2012
Book
Paperback/Softback
XV, 586 pages
978-1-4684-1296-3 (ISBN)
Description
For thousands of years mankind has been creating pictures which attempt to portray real or imagined scenes as perceived by human vision. Cave drawings, paintings and photographs are able to stimulate the visual system and conjure up thoughts of faraway places, imagined situations or pleasant sensations. The art of motion picture creation has advanced to the point where viewers often undergo intense emotional experiences. On-the spot news coverage gives the impression of actually witnessing events as they unfold. Relatively recently, other forms of visual information have been invented which do not, in themselves, stimulate the eye. For example, vol tage variations in an electrical signal, as in television, can represent in analogous fashion the brightness variations in a picture. In this form the visual information can be stored on magnetic tape or transmitted over long distances, and, at least for engineering purposes, it is often much more use ful than other forms which do stimulate human vision. With the evolution of digital techniques for information processing, storage, and transmission, the need arises for digital representation of visual information, that is, the representation of images by a sequence of integer numbers (usually binary). In this form, computer processing and digital circuit techniques can be utilized which were undreamed of only a short time ago. Machine manipulation and interpretation of visual infor mation becomes possible. Sophisticated techniques can be employed for efficient storage of images. And processing methods can be used to significantly reduce the costs of picture transmission.
More details
Series
Edition
Softcover reprint of the original 1st ed. 1988
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XV, 586 p.
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 33 mm
Weight
862 gr
ISBN-13
978-1-4684-1296-3 (9781468412963)
DOI
10.1007/978-1-4684-1294-9
Schweitzer Classification
Other editions
Additional editions
E-Book
11/2013
Springer
€149.79
Available for download
Arun Netravali
Digital Pictures
Other
04/1988
2nd Edition
Kluwer Academic / Plenum Publishers
€119.13
Article exhausted; check different version
Content
1. Numerical Representation of Visual Information.- 1.1 Visual Information.- 1.2 Representation by a Finite Amount of Data.- 1.3 Spatial Sampling Representation.- 1.4 Raster Scan.- 1.5 Fourier-Frequency Domain.- 1.6 Time Varying Images.- 1.7 Quantization and Binary Word Assignment-PCM.- 1.8 Color Images.- 1.9 Graphics.- 2. Common Picture Communication Systems.- 2.1 Monochrome Television.- 2.2 Color Television.- 2.3 Videoconferencing.- 2.4 Videotelephone.- 2.5 High Definition Television (HDTV).- 2.6 Graphics.- 2.7 Interactive Picture Communication Systems.- 2.8 Earth Resources Imagery.- 3. Redundancy-Statistics-Models.- 3.1 Redundancy in the Sampled Data-Information Theory.- 3.2 Monochrome Luminance Statistics.- 3.3 Color Picture Statistics.- 3.4 Statistics of Graphical Signals.- 4. Visual Psychophysics.- 4.1 Subjective Testing.- 4.2 The Human Eye.- 4.3 Psychophysics of Vision.- 4.4 Psychophysics of Color Vision.- 4.5 Models for Picture Quality.- 5. Basic Compression Techniques.- 5.1 Pulse Code Modulation (PCM).- 5.2 Predictive Coding.- 5.3 Transform Coding of Blocks of Samples.- 5.4 Hybrid Transform Coding Techniques.- 5.5 Other Block Coding.- 5.6 Miscellaneous Coding Methods.- 5.7 Coding of Graphics.- 6. Examples of Codec Designs.- 6.1 Image Coding Method for Freeze-Frame Videoconferencing.- 6.2 45 Mbs Intrafield DPCM Codec for NTSC Color Video.- 6.3 Adaptive Predictive Interfield Coder for NTSC Color TV.- 6.4 Interfield Hybrid Transform Coder for Component Color TV.- 6.5 Decomposition of Single Images into Edges and Texture.- 6.6 Conditional Replenishment DPCM Codecs.- 6.7 Graphic Coders.- 7. Postscript.- 7.1 Signal Sources.- 7.2 The Human Receiver.- 7.3 Waveform Encoding.- 7.4 Parameter Coding.- 7.5 Bit Rates Versus Complexity.- 7.6 Future Directions and UltimateLimits.- 7.7 Concluding Remarks.