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

doi:10.1109/TIP.2018.2802199

Return

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

2018-05-01

PRE

Peijia Zheng *

黄继武 (Jiwu Huang)

DOI：10.1109/TIP.2018.2802199

Original

Original request for help

Save

Abstract

En 中文

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.

Keywords:

Signal processing in the encrypted domain

secure signal processing

homomorphic encryption

Walsh-Hadamard transform

parallel algorithm

privacy protection

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.