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Visual Saliency-Based Confidentiality Metric for Selective Crypto-Compressed JPEG Images

Abstract: 

For security reasons, more and more digital data are transferred or stored in encrypted domains. In particular for images, selective format-compliant JPEG encryption methods have been proposed for the last ten years. Since encryption is selective, in order to reduce the processing time and to be format-compliant, it is now necessary to evaluate the confidentiality of these selective crypto-compressed JPEG images. It is known that image quality metrics, such as PSNR or SSIM, give a very low correlation with a mean opinion score (MOS) for low quality images. In this paper, we propose an efficient confidentiality metric based on the visual saliency diffusion. We show experimentally that this metric is well correlated with a MOS and efficient to evaluate the confidentiality of selective crypto-compressed JPEG images.

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Paper Details

Authors:
Noé Le Philippe, Vincent Itier, William Puech
Submitted On:
14 September 2017 - 8:02am
Short Link:
Type:
Poster
Event:
Presenter's Name:
William PUECH
Paper Code:
2747
Document Year:
2017
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Poster William PUECH

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[1] Noé Le Philippe, Vincent Itier, William Puech, "Visual Saliency-Based Confidentiality Metric for Selective Crypto-Compressed JPEG Images", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2019. Accessed: Oct. 20, 2019.
@article{2019-17,
url = {http://sigport.org/2019},
author = {Noé Le Philippe; Vincent Itier; William Puech },
publisher = {IEEE SigPort},
title = {Visual Saliency-Based Confidentiality Metric for Selective Crypto-Compressed JPEG Images},
year = {2017} }
TY - EJOUR
T1 - Visual Saliency-Based Confidentiality Metric for Selective Crypto-Compressed JPEG Images
AU - Noé Le Philippe; Vincent Itier; William Puech
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2019
ER -
Noé Le Philippe, Vincent Itier, William Puech. (2017). Visual Saliency-Based Confidentiality Metric for Selective Crypto-Compressed JPEG Images. IEEE SigPort. http://sigport.org/2019
Noé Le Philippe, Vincent Itier, William Puech, 2017. Visual Saliency-Based Confidentiality Metric for Selective Crypto-Compressed JPEG Images. Available at: http://sigport.org/2019.
Noé Le Philippe, Vincent Itier, William Puech. (2017). "Visual Saliency-Based Confidentiality Metric for Selective Crypto-Compressed JPEG Images." Web.
1. Noé Le Philippe, Vincent Itier, William Puech. Visual Saliency-Based Confidentiality Metric for Selective Crypto-Compressed JPEG Images [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2019