DocumentCode :
2454344
Title :
Low-complexity pruned 8-point DCT approximations for image encoding
Author :
Coutinho, Vitor de A. ; Cintra, Renato J. ; Bayer, Fabio M. ; Kulasekera, Sunera ; Madanayake, Arjuna
Author_Institution :
Grad. Program in Electr. Eng. - PPGEE, Fed. Univ. of Pernambuco, Recife, Brazil
fYear :
2015
fDate :
25-27 Feb. 2015
Firstpage :
1
Lastpage :
7
Abstract :
Two multiplierless pruned 8-point discrete cosine transform (DCT) approximation are presented. Both transforms present lower arithmetic complexity than state-of-the-art methods. The performance of such new methods was assessed in the image compression context. A JPEG-like simulation was performed, demonstrating the adequateness and competitiveness of the introduced methods. Digital VLSI implementation in CMOS technology was also considered. Both presented methods were realized in Berkeley Emulation Engine (BEE3).
Keywords :
VLSI; approximation theory; computational complexity; data compression; digital simulation; discrete cosine transforms; image coding; BEE3; Berkeley Emulation Engine; CMOS technology; JPEG-like simulation; arithmetic complexity; digital VLSI implementation; image compression context; image encoding; low-complexity pruned 8-point DCT approximation; multiplierless pruned 8-point discrete cosine transform approximation; Additives; Approximation algorithms; Approximation methods; Complexity theory; Discrete cosine transforms; Image coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Communications and Computers (CONIELECOMP), 2015 International Conference on
Conference_Location :
Cholula
Type :
conf
DOI :
10.1109/CONIELECOMP.2015.7086923
Filename :
7086923
Link To Document :
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