T-Space at The University of Toronto Libraries >
School of Graduate Studies - Theses >
Please use this identifier to cite or link to this item:
|Title: ||Secure Wavelet-based Coding of Images, and Application to Privacy Protected Video Surveillance|
|Authors: ||Martin, Karl|
|Advisor: ||Plataniotis, Konstantinos N.|
|Department: ||Electrical and Computer Engineering|
secure image coding
secure object coding
|Issue Date: ||16-Feb-2011|
|Abstract: ||The protection of digital images and video from unauthorized access is
important for a number of applications, including privacy protection in video
surveillance and digital rights management for consumer applications.
However, traditional cryptographic methods are not well suited to digital visual content. Applying standard encryption approaches to the entire content can require significant computational resources due to the large size of the data. Furthermore, digital images and video often need to be manipulated,such as by resizing or transcoding, which traditional encryption would hinder. A number of image and video-specific encryption approaches have been
proposed in the literature, but many of the them have significant negative impact on the ability to compress the data, which is a necessary requirement of most imaging systems.
In this work, a secure image coder, called Secure Set Partitioning in Hierarchical Trees (SecSPIHT), is proposed. It combines wavelet-based image coding (compression) with efficient encryption. The encryption is applied to a small number of selected bits in the code domain, to achieve complete
confidentiality of all the content while having no negative impact on compression performance. The output of the system is a secure code that cannot be decrypted and decoded without the provision of a secret key. It has superior rate-distortion performance compared to JPEG and JPEG2000, and the bit-rate can be easily scaled via a simple truncation operation. The
computational overhead of the encryption operation is very low, typically requiring less than 1% of the coded image data to be encrypted.
A related secure object-based coding approach is also presented. Called Secure Shape and Texture Set Partitioning in Hierarchical Trees (SecST-SPIHT), it codes and encrypts arbitrarily-shaped visual objects. A privacy protection system for video surveillance is proposed, using
SecST-SPIHT to protect private data, such as face and body images appearing in surveillance footage. During normal operation of the system, the private data objects are protected via SecST-SPIHT. If an incident occurs that requires access to the data (e.g., for investigation), a designated authority must release the key. This is superior to other methods of privacy protection which irreversibly blur or mask the private data.|
|Appears in Collections:||Doctoral|
Items in T-Space are protected by copyright, with all rights reserved, unless otherwise indicated.