Computational cost analysis and implementation of accelerated iterative shrinkage smoothing
Kasauka Dabwitso, Hiroshi Tsutsui, Hiroyuki Okuhata, Yoshikazu Miyanaga · 2014
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.