Wavelet Image and Video Compression

An exciting new development has taken place in the digital era that has captured the imagination and talent of researchers around the globe - wavelet image compression. This technology has deep roots in theories of vision, and promises performance improvements over all other compression methods, suc...

Full description

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Topiwala, Pankaj N. (Editor)
Format: Electronic
Language:English
Published: Boston, MA : Springer US, 2002.
Series:The International Series in Engineering and Computer Science, 450
Subjects:
Online Access:View fulltext via EzAccess
LEADER 04752nam a22005415i 4500
001 22649
003 DE-He213
005 20151204142004.0
007 cr nn 008mamaa
008 100301s2002 xxu| s |||| 0|eng d
020 # # |a 9780306470431  |9 978-0-306-47043-1 
024 7 # |a 10.1007/b117069  |2 doi 
050 # 4 |a QC221-246 
072 # 7 |a PHDS  |2 bicssc 
072 # 7 |a SCI001000  |2 bisacsh 
082 0 4 |a 534  |2 23 
245 1 0 |a Wavelet Image and Video Compression  |c edited by Pankaj N. Topiwala.  |h [electronic resource] / 
264 # 1 |a Boston, MA :  |b Springer US,  |c 2002. 
300 # # |a XIV, 438 p.  |b online resource. 
336 # # |a text  |b txt  |2 rdacontent 
337 # # |a computer  |b c  |2 rdamedia 
338 # # |a online resource  |b cr  |2 rdacarrier 
347 # # |a text file  |b PDF  |2 rda 
490 1 # |a The International Series in Engineering and Computer Science,  |v 450  |x 0893-3405 ; 
505 0 # |a Preliminaries -- Preliminaries -- Time-Frequency Analysis, Wavelets And Filter Banks -- To Compression -- Symmetric Extension Transforms -- Still Image Coding -- Wavelet Still Image Coding: A Baseline MSE and HVS Approach -- Image Coding Using Multiplier-Free Filter Banks -- Embedded Image Coding Using Zerotrees of Wavelet Coefficients -- A New Fast/Efficient Image Codec Based on Set Partitioning in Hierarchical Trees -- Space-frequency Quantization for Wavelet Image Coding -- Subband Coding of Images Using Classification and Trellis Coded Quantization -- Low-Complexity Compression of Run Length Coded Image Subbands -- Special Topics in Still Image Coding -- Fractal Image Coding as Cross-Scale Wavelet Coefficient Prediction -- Region of Interest Compression In Subband Coding -- Wavelet-Based Embedded Multispectral Image Compression -- The FBI Fingerprint Image Compression Specification -- Embedded Image Coding Using Wavelet Difference Reduction -- Block Transforms in Progressive Image Coding -- Video Coding -- Brief on Video Coding Standards -- Interpolative Multiresolution Coding of Advanced TV with Subchannels -- Subband Video Coding for Low to High Rate Applications -- Very Low Bit Rate Video Coding Based on Matching Pursuits -- Object-Based Subband/Wavelet Video Compression -- Embedded Video Subband Coding with 3D SPIHT. 
520 # # |a An exciting new development has taken place in the digital era that has captured the imagination and talent of researchers around the globe - wavelet image compression. This technology has deep roots in theories of vision, and promises performance improvements over all other compression methods, such as those based on Fourier transforms, vectors quantizers, fractals, neural nets, and many others. It is this revolutionary new technology that is presented in Wavelet Image and Video Compression, in a form that is accessible to the largest audience possible. Wavelet Image and Video Compression is divided into four parts. Part I, Background Material, introduces the basic mathematical structures that underly image compression algorithms with the intention of providing an easy introduction to the mathematical concepts that are prerequisites for the remainder of the book. It explains such topics as change of bases, scalar and vector quantization, bit allocation and rate-distortion theory, entropy coding, the discrete-cosine transform, wavelet filters and other related topics. Part II, Still Image Coding, presents a spectrum of wavelet still image coding techniques. Part III, Special Topics in Still Image Coding, provides a variety of example coding schemes with a special flavor in either approach or application domain. Part IV, Video Coding, examines wavelet and pyramidal coding techniques for video data. Wavelet Image and Video Compression serves as an excellent reference and may be used as a text for advanced courses covering the subject. 
650 # 0 |a Physics. 
650 # 0 |a Image processing. 
650 # 0 |a Acoustics. 
650 # 0 |a Optics. 
650 # 0 |a Optoelectronics. 
650 # 0 |a Plasmons (Physics). 
650 # 0 |a Electrical engineering. 
650 1 4 |a Physics. 
650 2 4 |a Acoustics. 
650 2 4 |a Optics, Optoelectronics, Plasmonics and Optical Devices. 
650 2 4 |a Signal, Image and Speech Processing. 
650 2 4 |a Image Processing and Computer Vision. 
650 2 4 |a Electrical Engineering. 
700 1 # |a Topiwala, Pankaj N.  |e editor. 
710 2 # |a SpringerLink (Online service) 
773 0 # |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9780792381822 
830 # 0 |a The International Series in Engineering and Computer Science,  |v 450  |x 0893-3405 ; 
856 4 0 |u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/b117069  |z View fulltext via EzAccess 
912 # # |a ZDB-2-ENG 
912 # # |a ZDB-2-BAE 
950 # # |a Engineering (Springer-11647)