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Visual Security Evaluation Based on SIFT Object Recognition
Abstract : The paper presents a metric for visual security evaluation of encrypted images based on object recognition using the Scale Invariant Feature Transform (SIFT). The metrics’ behavior is demonstrated using three different encryption methods and its performance is compared to that of the PSNR, SSIM and Local Feature Based Visual Security Metric (LFBVSM). Superior correspondance to human perception and better responsiveness to subtle changes in visual security are observed for the new metric.
Cited literature [15 references]
https://hal.inria.fr/hal-01391369
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Thursday, November 3, 2016 - 11:11:19 AM
Last modification on : Thursday, March 5, 2020 - 5:41:18 PM
Long-term archiving on: : Saturday, February 4, 2017 - 1:28:32 PM
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Thursday, November 3, 2016 - 11:11:19 AM
Last modification on : Thursday, March 5, 2020 - 5:41:18 PM
Long-term archiving on: : Saturday, February 4, 2017 - 1:28:32 PM
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Distributed under a Creative Commons Attribution 4.0 International License