DocumentCode
2258723
Title
Quantizer Effects on EBCOT Based Compression
Author
Guenter, Christian ; Rothermel, Albrecht
Author_Institution
Dept. of Microelectron., Ulm Univ.
fYear
2007
fDate
10-14 Jan. 2007
Firstpage
1
Lastpage
2
Abstract
In order to make wavelet based image processing algorithms usable for portable multimedia devices different optimization strategies need to be taken into account. Besides optimizing the hardware structures for better performance, the overall processing load has to be minimized as proposed in this paper. Coarse quantizer steps sizes reduce the entropy and therefore we get shorter code words after the entropy coder. We propose a reduction of the data accuracy in the quantizer, saving up to 28% processing power. Image quality and compression ratio are not compromised.
Keywords
block codes; data compression; entropy codes; image coding; wavelet transforms; EBCOT based compression; entropy coder; entropy reduction; image compression; image quality; multimedia devices; optimization strategies; quantizer effects; shorter code words; wavelet based image processing algorithms; Arithmetic; Discrete wavelet transforms; Energy consumption; Entropy; Image analysis; Image coding; Microelectronics; Rate-distortion; Streaming media; Transform coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, 2007. ICCE 2007. Digest of Technical Papers. International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
1-4244-0763-X
Electronic_ISBN
1-4244-0763-X
Type
conf
DOI
10.1109/ICCE.2007.341332
Filename
4146221
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