基于差分隐私保护的服务机器人视觉图像发布算法

doi:10.3969/j.issn.0255-8297.2023.04.012

Abstract

Abstract: To protect the sensitive personal information in service robots, this paper proposes an image publishing algorithm for service robots based on the combination of discrete cosine transform and differential privacy. Firstly, the image is compressed by discrete cosine transform. In order to balance the correlation noise error and reconstruction error, a coefficient selection method based on random gradient descent algorithm is introduced. Then, appropriate coefficients are selected in the corresponding coefficient space to compress the image, and Laplace noise is added to the coefficient space. Finally, based on four real indoor image data sets, wavelet packet transform and least squares support vector machine classification techniques are used to measure the accuracy of the algorithm. The experimental results demonstrate the robustness of the proposed algorithm.

Key words: service robot, image processing, privacy protection, differential privacy, discrete cosine transform

CLC Number:

TP242

JIAO Hejun, ZHOU Wanchun, SHI Jinfa, LIU Shengyuan. Image Publication Algorithm of Service Robot Based on Differential Privacy Protection[J]. Journal of Applied Sciences, 2023, 41(4): 682-691.

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Image Publication Algorithm of Service Robot Based on Differential Privacy Protection

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