Share Email Print

Proceedings Paper

A perceptual hashing method based on luminance features
Author(s): Siqing Luo
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

With the rapid development of multimedia technology, content based searching and image authentication has become strong requirements. Image hashing technique has been proposed to meet them. In this paper, an RST (Rotation, Scaling, and Translation) resistant image hash algorithm is presented. In this method, the geometric distortions are extracted and adjusted by normalization. The features of the image are generated from the high-rank moments of luminance distribution. With the help of the efficient image representation capability of high-rank moments, the robustness and discrimination of proposed method are improved. The experimental results show that the proposed method is better than some existing methods in robustness under rotation attack.

Paper Details

Date Published: 4 February 2011
PDF: 4 pages
Proc. SPIE 7752, PIAGENG 2010: Photonics and Imaging for Agricultural Engineering, 77521L (4 February 2011); doi: 10.1117/12.887930
Show Author Affiliations
Siqing Luo, Northeast Forestry Univ. (China)

Published in SPIE Proceedings Vol. 7752:
PIAGENG 2010: Photonics and Imaging for Agricultural Engineering
Honghua Tan, Editor(s)

© SPIE. Terms of Use
Back to Top