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Proceedings Paper

Fast perceptual image hash based on cascade algorithm
Author(s): Alexey Ruchay; Vitaly Kober; Evgeniya Yavtushenko
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Paper Abstract

In this paper, we propose a perceptual image hash algorithm based on cascade algorithm, which can be applied in image authentication, retrieval, and indexing. Image perceptual hash uses for image retrieval in sense of human perception against distortions caused by compression, noise, common signal processing and geometrical modifications. The main disadvantage of perceptual hash is high time expenses. In the proposed cascade algorithm of image retrieval initializes with short hashes, and then a full hash is applied to the processed results. Computer simulation results show that the proposed hash algorithm yields a good performance in terms of robustness, discriminability, and time expenses.

Paper Details

Date Published: 19 September 2017
PDF: 7 pages
Proc. SPIE 10396, Applications of Digital Image Processing XL, 1039625 (19 September 2017); doi: 10.1117/12.2272716
Show Author Affiliations
Alexey Ruchay, Chelyabinsk State Univ. (Russian Federation)
Vitaly Kober, Chelyabinsk State Univ. (Russian Federation)
CICESE (Mexico)
Evgeniya Yavtushenko, Chelyabinsk State Univ. (Russian Federation)

Published in SPIE Proceedings Vol. 10396:
Applications of Digital Image Processing XL
Andrew G. Tescher, Editor(s)

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