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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/21664
Title: 2DInpaint: A novel privacy-preserving scheme for image inpainting in an encrypted domain over the cloud
Authors: Tanwar V.K.
Raman, Balasubramanian
Rajput A.S.
Bhargava R.
Published in: Signal Processing: Image Communication
Abstract: The low cost, agility, and mobility of cloud services for processing and storage data have attracted user's attention today. Untrusted third parties support these services, and users are always concerned about utilizing them for personal data. Addressing these data-privacy issues for image inpainting over the cloud infrastructure(s), we propose a model, 2DInpaint, to perform image inpainting by protecting image information from an eavesdropping adversary. Inpainting is a technique for modifying an image in an undetectable manner with applications ranging from restoration of damaged photographs to object-removal and replacement of lost blocks in image coding and transmission. It can be accomplished by propagating the information in the isophotes direction of the desired region(s) from the neighborhood. Performing this propagation when the image is in the encrypted domain (ED) is a challenging dilemma. The challenge is addressed by employing a modified version of 2D-bicubic interpolation over the region to be inpainted in ED. The ramp secret sharing scheme is utilized to secure image information and to reduce storage overhead over the cloud server. 2DInpaint is proved to be information-theoretical secure in a probabilistic viewpoint and through various cryptographic attacks. The qualitative and quantitative results of 2DInpaint are analyzed under the scenarios of classical image inpainting, object-removal, and text-removal, and compared with the schemes in the plain domain. Moreover, no limitations related to the topology of the region to be inpainted are required using our approach. To the best of our knowledge, 2DInpaint is the first move towards image inpainting in the ED. © 2020 Elsevier B.V.
Citation: Signal Processing: Image Communication, 88
URI: https://doi.org/10.1016/j.image.2020.115931
http://repository.iitr.ac.in/handle/123456789/21664
Issue Date: 2020
Publisher: Elsevier B.V.
Keywords: Bicubic interpolation
Object removal
Privacy-preserving
Ramp secret sharing
Visual cryptography
ISSN: 9235965
Author Scopus IDs: 57202340293
23135470700
55995594700
23063065000
Author Affiliations: Tanwar, V.K., Department of Mathematics, Indian Institute of Technology Roorkee, India
Raman, B., Department of Computer Science & Engineering, Indian Institute of Technology Roorkee, India
Rajput, A.S., Department of Computer Science & Engineering, Indian Institute of Technology Roorkee, India
Bhargava, R., Department of Mathematics, Indian Institute of Technology Roorkee, India
Funding Details: This research was supported by the University Grant Commission (UGC), INDIA reference grant number: 21/12/2014(ii)EU-V , 2121440593 . Vishesh Kumar Tanwar received his Bachelor (2011) and Master (2013) degree in Mathematics from University of Delhi, India. He is currently pursuing his research in the Department of Mathematics in collaboration with the Department of Computer Science and Engineering from Indian Institute of Technology Roorkee, India. His research work is funded by University Grants Commission, India under Junior Research Fellow (JRF) scheme. His research interests include Privacy Preserving Image Processing and Cloud Computing. University Grants Commission, UGC: 21/12/2014, 2121440593
Corresponding Author: Tanwar, V.K.; Department of Mathematics, India; email: vtanwar@ma.iitr.ac.in
Appears in Collections:Journal Publications [CS]

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