Title
Imprecise arithmetic for low power image processing
Abstract
Sometimes reducing the precision of a numerical processor, by introducing errors, can lead to significant performance (delay, area and power dissipation) improvements without compromising the overall quality of the processing. In this work, we show how to perform the two basic operations, addition and multiplication, in an imprecise manner by simplifying the hardware implementation. With the proposed “sloppy” operations, we obtain a reduction in delay, area and power dissipation, and the error introduced is still acceptable for applications such as image processing.
Year
DOI
Venue
2012
10.1109/ACSSC.2012.6489164
Signals, Systems and Computers
Keywords
Field
DocType
image processing,addition operation,low power image processing,multiplication operation,numerical processor,power dissipation
Computer science,Dissipation,Image processing,Electronic engineering,Multiplication
Conference
ISSN
ISBN
Citations 
1058-6393
978-1-4673-5050-1
10
PageRank 
References 
Authors
0.69
4
4
Name
Order
Citations
PageRank
Albicocco, P.1121.49
Gian-Carlo Cardarilli25714.97
Nannarelli, A.3141.61
Petricca, M.4121.15