Earticle

초록

영어

The rapid advancement of imaging technology has led to a surge in the volume of image data, making it challenging for image owners to efficiently store and process them. To address these issues, many are turning to cloud service providers (CSP) for their powerful storage and computational resources. Despite this convenience, reliance on cloud servers to enable computationally demanding computer vision applications such as content-based image retrieval (CBIR), poses significant privacy risks. As images may contain personally identifiable information and they may be subjected to copyright. In this regard, a straightforward solution is to encrypt images on the users’ end before sharing them with the third-party owned servers. However, the main challenge is to find a better trade-off between privacy and data usability in a cost-effective manner. Therefore, this paper presents a privacy preserving CBIR scheme that leverages the recent advancements of incorporating sub-block processing in perceptual encryption (PE) for enhanced security. In addition, our image retrieval scheme is histogram based that combines color and edge information with discrete wavelet transform; therefore, it is invariant to the encryption transformation functions. The simulation results show that our privacy preserving CBIR achieves the same retrieval performance as that of the plain images while delivering better security than the conventional privacy preserving CBIR techniques.

목차

Abstract
I. INTRODUCTION
II. PROPOSED METHOD
III. RESULTS AND DISCUSSIONS
A. Systems Model
B. Image Retrieval Performance Analysis
C. Encryption Analysis
D. Discussion
IV. CONCLUSION
ACKNOWLEDGMENT
REFERENCES

저자

• Md Shahriar Uzzal [ Dept.of Computer Engineering Chosun University ]
• Ijaz Ahmad [ Dept. of Electrical and Computer Engineering Korea University ]
• Seokjoo Shin [ Dept.of Computer Engineering Chosun University ] Corresponding Author

참고문헌