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