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Tolerant memoization on local image processing
Author(s): Mojtaba Farzmahdi; Rong Luo
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Paper Abstract

In this paper, we present a new improvement technique in tolerant memoization algorithm for implementing local image processing operations. Window memoization is a method in the field of local image processing operations that uses the benefit of data redundancy in images to minimize the amount of computations performed that leads to achieve speedup. In the proposed method, the benefit of inter-pixel redundancy in images is used to improve the efficiency of tolerant window memoization where the neighboring pixels are correlated. We have developed this new optimized method on software and applied to edge detection to images of 512 × 512 pixels and compared with previous tolerant window memoization method, the results show the average speedup increasing is 34%.

Paper Details

Date Published: 21 July 2017
PDF: 5 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104204I (21 July 2017); doi: 10.1117/12.2281923
Show Author Affiliations
Mojtaba Farzmahdi, Tsinghua Univ. (China)
Tsinghua National Lab. for Information Science and Technology (China)
Rong Luo, Tsinghua Univ. (China)
Tsinghua National Lab. for Information Science and Technology (China)


Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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