Camera Response Function Estimation

Using Geometric Invariants for Camera Response Function Estimation

In our past work, we proposed that CRF attributes can be found on linear structures in an image and extracted using linear geometric invariants. In this work, we show additional properties on linear geometric invariants, propose a more robust way to select linear structures in an image, and provide a model-based method to extract CRF attributes from the linear structures. The proposed method extract reliable CRF signature extracted from a single image.

Publications

"Camera Response Function Signature for Digital Forensics – Part I: Theory and Data Selection",
T.-T. Ng, M.-P. Tsui,
IEEE Workshop on Information Forensics and Security (WIFS),
Dec. 2009.
[pdf 1.1MB] [bib]

"Camera Response Function Signature for Digital Forensics – Part II: Signature Extraction",
T.-T. Ng,
IEEE Workshop on Information Forensics and Security (WIFS),
Dec. 2009.
[pdf 6.9MB] [bib]

© 2009 Tian-Tsong Ng
Disclaimer : I am personally responsible for any content and opinion posted on this homepage. Institute for Infocomm Research is not responsible for any contents found on this homepage or any opinion expressed herein.

Using Geometric Invariants for Camera Response Function Estimation

In our past work, we proposed that CRF attributes can be found on linear structures in an image and extracted using linear geometric invariants. In this work, we show additional properties on linear geometric invariants, propose a more robust way to select linear structures in an image, and provide a model-based method to extract CRF attributes from the linear structures. The proposed method extract reliable CRF signature extracted from a single image.

Publications
	"Camera Response Function Signature for Digital Forensics – Part I: Theory and Data Selection", T.-T. Ng, M.-P. Tsui, IEEE Workshop on Information Forensics and Security (WIFS), Dec. 2009. [pdf 1.1MB] [bib] "Camera Response Function Signature for Digital Forensics – Part II: Signature Extraction", T.-T. Ng, IEEE Workshop on Information Forensics and Security (WIFS), Dec. 2009. [pdf 6.9MB] [bib]


© 2009 Tian-Tsong Ng Disclaimer : I am personally responsible for any content and opinion posted on this homepage. Institute for Infocomm Research is not responsible for any contents found on this homepage or any opinion expressed herein.