DocumentCode
590277
Title
Analysis of displacement compensation methods for wavelet lifting of medical 3-D thorax CT volume data
Author
Schnurrer, Wolfgang ; Seiler, Jurgen ; Wige, Eugen ; Kaup, Andre
Author_Institution
Multimedia Commun. & Signal Process., Univ. of Erlangen-Nuremberg, Erlangen, Germany
fYear
2012
fDate
27-30 Nov. 2012
Firstpage
1
Lastpage
6
Abstract
A huge advantage of the wavelet transform in image and video compression is its scalability. Wavelet-based coding of medical computed tomography (CT) data becomes more and more popular. While much effort has been spent on encoding of the wavelet coefficients, the extension of the transform by a compensation method as in video coding has not gained much attention so far. We will analyze two compensation methods for medical CT data and compare the characteristics of the displacement compensated wavelet transform with video data. We will show that for thorax CT data the transform coding gain can be improved by a factor of 2 and the quality of the lowpass band can be improved by 8 dB in terms of PSNR compared to the original transform without compensation.
Keywords
data compression; medical image processing; video coding; wavelet transforms; PSNR; displacement compensation methods analysis; encoding; image compression; medical 3-D thorax CT volume data; medical computed tomography; scalability; thorax CT data; transform coding gain; video coding; video compression; video data; wavelet coefficients; wavelet lifting; wavelet transform; wavelet-based coding; Biomedical imaging; Computed tomography; Gain; Image coding; PSNR; Wavelet transforms; Computed Tomography; Discrete wavelet transforms; Motion compensation; Scalability; Signal analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Communications and Image Processing (VCIP), 2012 IEEE
Conference_Location
San Diego, CA
Print_ISBN
978-1-4673-4405-0
Electronic_ISBN
978-1-4673-4406-7
Type
conf
DOI
10.1109/VCIP.2012.6410751
Filename
6410751
Link To Document