DocumentCode :
118522
Title :
Computational cost analysis and implementation of accelerated iterative shrinkage smoothing
Author :
Kasauka, Dabwitso ; Tsutsui, Hiroshi ; Okuhata, Hiroyuki ; Miyanaga, Yoshikazu
Author_Institution :
Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan
fYear :
2014
fDate :
9-12 Dec. 2014
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we present a computational cost analysis result of accelerated iterative shrinkage smoothing algorithm, which is one of promising image smoothing algorithms with sufficient smoothing quality results and reduced processing time. The main motivation of this cost analysis is to provide a base for efficient hardware implementation. We implemented it in a lower-level programming language with OpenCV library as opposed to the MATLAB implementation. The resolution dependency of the processing time is also illustrated.
Keywords :
image resolution; iterative methods; MATLAB implementation; OpenCV library; accelerated iterative shrinkage smoothing algorithms; computational cost analysis; hardware implementation; image smoothing algorithms; lower-level programming language; reduced processing time; resolution dependency; smoothing quality results; Acceleration; Algorithm design and analysis; Color; Computational efficiency; Image color analysis; Image resolution; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference (APSIPA)
Conference_Location :
Siem Reap
Type :
conf
DOI :
10.1109/APSIPA.2014.7041808
Filename :
7041808
Link To Document :
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