International Journal of Circuits, Systems and Signal Processing

E-ISSN: 1998-4464
Volume 15, 2021

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of NAUN Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

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Volume 15, 2021

Title of the Paper: Multi-directional Feature Positioning Retrieval Method of Random Encrypted Images


Authors: Fuwei Huang

Pages: 895-901 

DOI: 10.46300/9106.2021.15.96     XML


Abstract: Image encryption is an effective means to ensure image information security, but image encryption makes image features hidden, resulting in blurred image positioning features and cannot provide queryable rules. In this paper, the multi-direction feature retrieval method of random encrypted images is studied comprehensively. Multidirectional binary wavelet is used to decompose specific images, and multi-resolution analysis is used to extract multi-direction features of specific images. The method of image location optimization in random encrypted images is used to eliminate the excessive and repeated image features contained in the specific image by image verification, and the probability of image location errors is reduced. The specific image is retrieved by identifying frequent item sets in random encrypted images that are identical to the multidirectional features of a particular image. The results show that the method can locate the random encrypted image effectively. The accuracy of the image location and the average accuracy of the feature points are about 95 % and 97.3 % respectively, and the anti-noise ability is strong. It provides a scientific means for the rapid positioning of efficient images.