Abstract
In this paper, a tone mapping algorithm is proposed to produce LDR (Limited Dynamic Range) images from HDR (High Dynamic Range) images. In the approach, non-linear functions are applied to compress the dynamic range of HDR images. Security tools will be then applied to the resulting LDR images and their effectiveness will be tested on the reconstructed HDR images. Three specific examples of security tools are described in more details: integrity verification using hash function to compute local digital signatures, encryption for confidentiality, and scrambling technique.
Highlights
Thanks to recent advances in computer graphics and in vision, HDR imaging has become a new generation technology becoming a new standard representation in the field of digital photography
Three specific examples of security tools are described in more details: integrity verification, encryption and scrambling
Three specific examples of security tools are described in more details: integrity verification, encryption and scrambling techniques
Summary
Thanks to recent advances in computer graphics and in vision, HDR imaging has become a new generation technology becoming a new standard representation in the field of digital photography. Equipment acquisition and display, handsets with the powerful increasing of processors in professional and consumer devices, as well as the continued efforts to get content more photorealistic with higher quality image and video; have attracted attentions to HDR imaging. Several industrials offer cameras and displays capable of acquiring and rendering HDR images. The popularity and the public adoption of HDR images are hampered by the lack of file formats, compression standards and security tools. Mechanisms suitable for HDR images are developed to protect privacy and to minimize risks to confidential information.
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