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pro vyhledávání: '"William A. Pearlman"'
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2008 (2008)
End users of large volume image datasets are often interested only in certain features that can be identified as quickly as possible. For hyperspectral data, these features could reside only in certain ranges of spectral bands and certain spatial are
Externí odkaz:
https://doaj.org/article/adcb6fde514745a0a4895a885eded3cd
Autor:
William A. Pearlman
This book teaches the fundamentals and mathematical formulas of reversible transformations (or transforms) that are used in many source coding and signal processing systems. These mathematical transforms are often necessary or crucial toward reductio
Autor:
William A. Pearlman, Yang Hu
Publikováno v:
Electronic Imaging. 28:1-6
Many scenarios require single frame random access and error resilience in coding, transmission, and decoding of image sequences. We propose in this paper a SPIHT coder that encodes a sequence of images one frame at a time and uses two methods togethe
Autor:
William A. Pearlman, Yang Hu
Publikováno v:
Visual Information Processing and Communication
A distributed video coding (DVC) system based on wavelet transform and set partition coding (SPC) is presented in this paper. Conventionally the significance map (sig-map) of SPC is not conducive to Slepian-Wolf (SW) coding, because of the difficulty
Autor:
Yang Hu, William A. Pearlman
Publikováno v:
Journal of Visual Communication and Image Representation. 23:634-641
Efficient image sequence coding exploits both intra- and inter-frame correlations. Set partition coding (SPC) is efficient in intra-frame de-correlation for still images. Based on SPC, a novel image sequence coding system, called motion differential
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 5:370-385
This paper presents lossy compression algorithms which build on a state-of-the-art codec, the Set Partitioned Embedded Block Coder (SPECK), by incorporating a lattice vector quantizer codebook, therefore allowing it to process multiple samples at one
Autor:
William A. Pearlman, Jeremiah Harmsen
Publikováno v:
MM&Sec
This work investigates a central problem in steganography, that is: How much data can safely be hidden without being detected? To answer this question, a formal definition of steganographic capacity is presented. Once this has been defined, a general
Autor:
Yushin Cho, William A. Pearlman
Publikováno v:
IEEE Transactions on Signal Processing. 55:2425-2431
Locating zerotrees in a wavelet transform allows encoding of sets of coefficients with a single symbol. It is an efficient means of coding if the overhead to identify the locations is small compared to the size of the zerotree sets on the average. It
Autor:
Amir Said, William A. Pearlman
Publikováno v:
Foundations and Trends® in Signal Processing. 2:95-180
The purpose of this two-part monograph is to present a tutorial on set partition coding, with emphasis and examples on image wavelet transform coding systems, and describe their use in modern image coding systems. Set partition coding is a procedure
Autor:
Amir Said, William A. Pearlman
Publikováno v:
Foundations and Trends® in Signal Processing. 2:181-246