Paper
4 May 2009 Selective object encryption for privacy protection
Author Affiliations +
Abstract
This paper introduces a new recursive sequence called the truncated P-Fibonacci sequence, its corresponding binary code called the truncated Fibonacci p-code and a new bit-plane decomposition method using the truncated Fibonacci pcode. In addition, a new lossless image encryption algorithm is presented that can encrypt a selected object using this new decomposition method for privacy protection. The user has the flexibility (1) to define the object to be protected as an object in an image or in a specific part of the image, a selected region of an image, or an entire image, (2) to utilize any new or existing method for edge detection or segmentation to extract the selected object from an image or a specific part/region of the image, (3) to select any new or existing method for the shuffling process. The algorithm can be used in many different areas such as wireless networking, mobile phone services and applications in homeland security and medical imaging. Simulation results and analysis verify that the algorithm shows good performance in object/image encryption and can withstand plaintext attacks.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yicong Zhou, Karen Panetta, Ravindranath Cherukuri, and Sos Agaian "Selective object encryption for privacy protection", Proc. SPIE 7351, Mobile Multimedia/Image Processing, Security, and Applications 2009, 73510F (4 May 2009); https://doi.org/10.1117/12.817699
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Image encryption

Image segmentation

Computer security

Medical imaging

Image processing algorithms and systems

Detection and tracking algorithms

Homeland security

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