Title: Quality improvement on minimum-storage-overhead image processing scheme in encrypted domain

Authors: Shushan Zhao

Addresses: Department of Computer Electronics and Graphics Technology, Central Connecticut State University, 1615 Stanley Street, New Britain, CT 06050, USA

Abstract: Image processing in encrypted domain is needed in many services while many image processing tasks are outsourced to third party cloud computing platforms for data confidentiality and privacy-preserving purposes. There are many solutions for image scaling, cropping and colour correction in this context. However, most of the solutions are not compatible with each other and there is few solutions supporting all these operations. In our previous work (Zhao, 2022), we propose a scheme that supports image scaling, cropping, and colour correction in encrypted domain with minimum storage overhead. We notice that the image quality achieved is not satisfactory in some circumstances, and in this work, we propose a quality improvement solution to address this issue. The new scheme provides satisfactory quality in all cases considered, with 2.6% storage overhead increase as analysis shows in this paper.

Keywords: image processing; scaling; cropping; colour correction; encrypted domain.

DOI: 10.1504/IJCEELL.2024.143309

International Journal of Continuing Engineering Education and Life-Long Learning, 2024 Vol.34 No.6, pp.600 - 616

Received: 29 May 2022
Accepted: 11 Dec 2022
Published online: 13 Dec 2024 *

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