Efficient Encrypted Images Filtering and Transform Coding With Walsh-Hadamard Transform and Parallelization

Since homomorphic encryption operations have high computational complexity, image applications based on homomorphic encryption are often time consuming, which makes them impractical. In this paper, we study efficient encrypted image applications with the encrypted domain Walsh-Hadamard transform (WH...

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Bibliographic Details
Published in:IEEE transactions on image processing Vol. 27; no. 5; pp. 2541 - 2556
Main Authors: Zheng, Peijia, Huang, Jiwu
Format: Journal Article
Language:English
Published: United States IEEE 01.05.2018
Subjects:
Cloud computing
Computational complexity
Discrete cosine transforms
Encryption
homomorphic encryption
parallel algorithm
privacy protection
secure signal processing
Signal processing algorithms
Signal processing in the encrypted domain
Walsh-Hadamard transform
ISSN:1057-7149, 1941-0042, 1941-0042
Online Access:Get full text
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Summary:Since homomorphic encryption operations have high computational complexity, image applications based on homomorphic encryption are often time consuming, which makes them impractical. In this paper, we study efficient encrypted image applications with the encrypted domain Walsh-Hadamard transform (WHT) and parallel algorithms. We first present methods to implement real and complex WHTs in the encrypted domain. We then propose a parallel algorithm to improve the computational efficiency of the encrypted domain WHT. To compare the WHT with the discrete cosine transform (DCT), integer DCT, and Haar transform in the encrypted domain, we conduct theoretical analysis and experimental verification, which reveal that the encrypted domain WHT has the advantages of lower computational complexity and a shorter running time. Our analysis shows that the encrypted WHT can accommodate plaintext data of larger values and has better energy compaction ability on dithered images. We propose two encrypted image applications using the encrypted domain WHT. To accelerate the practical execution, we present two parallelization strategies for the proposed applications. The experimental results show that the speedup of the homomorphic encrypted image application exceeds 12.
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ISSN:1057-7149
1941-0042
1941-0042
DOI:10.1109/TIP.2018.2802199