Color-Decoupled Photo Response Non-Uniformity for Digital Image Forensics

Li, Chang-Tsun; Li, Yue

doi:10.1109/tcsvt.2011.2160750

Cited by 114 publications

(96 citation statements)

References 35 publications

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“…This PRNU is content dependent and it is present in all images taken by the same camera. Several image forensic techniques based on PRNU are employed in order to identify the origin of particular images as proposed in [1], [4], [5] etc. These PRNU content can be also utilized to find whether image is manipulated or not [4], [5].…”

Section: Prnu (Photo Response Non-uniformity) Noise Originmentioning

confidence: 99%

“…Several image forensic techniques based on PRNU are employed in order to identify the origin of particular images as proposed in [1], [4], [5] etc. These PRNU content can be also utilized to find whether image is manipulated or not [4], [5]. These tests works on the basis of comparing the standardized PRNU values generated for each camera with the noise extracted from the particular image.…”

Section: Prnu (Photo Response Non-uniformity) Noise Originmentioning

confidence: 99%

“…The wiener filtering gives better results. Many pre-processing steps like color interpolation noise removal are employed to increase the accuracy of P RNU based identification rate [5]. The comparison of PRNU content in different images with the reference PRNU generated from the images of a particular camera is being done using normalized cross correlation method [1].…”

Section: Effect Of Prnu Extraction On Different Illumination Of mentioning

confidence: 99%

“…The PRNU (Photo Response NonUniformity) Noise which is the crucial element of sensor noise is used for both Device Identification [1] and Integrity analysis [4], [5]. This paper analyses the impact of PRNU in images of the same elements in the different lighting conditions.…”

Section: Introductionmentioning

confidence: 99%

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Analysis Of Photo Response Non �Uniformity Noise On Images Of Different Lighting Conditions

2014

IJAERD

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Abstract-Photo Response Non-Uniformity (PRNU) Noise introduced by the sensors in the digital capturing device is widely used in the field of Image Forensics. This sensor pattern noise proved to give reliable evidences in Source Camera Identification and Image Forgery Detection. But the accuracy of identification rates of PRNU based techniques depends on the lighting conditions in which the particular camera device captures digital images for calculating their reference PRNU and also the lighting condition of the image under investigation. This paper tests the PRNU content of images of same scene under different lighting conditions in terms of correlation values of the extracted PRNU"s from the images and the reference PRNU of the images under different illuminations.

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Section: Prnu (Photo Response Non-uniformity) Noise Originmentioning

confidence: 99%

Section: Prnu (Photo Response Non-uniformity) Noise Originmentioning

confidence: 99%

Section: Effect Of Prnu Extraction On Different Illumination Of mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Analysis Of Photo Response Non �Uniformity Noise On Images Of Different Lighting Conditions

2014

IJAERD

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show abstract

“…For example, based on the assumption that the stronger a signal component of SPN is, the more likely it is associated with strong scene details, Li [5] proposed six enhancing models to attenuate the interference from scene details. Afterwards, Li et al [6] continued to propose a Color-Decoupled PRNU (CD-PRNU) extraction method to prevent the color filtering array (CFA) interpolation errors from propagating into the physical components. They extracted the PRNU from each color channel and then assembled them to get the more reliable CD-PRNU.…”

Section: Introductionmentioning

confidence: 99%