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