Passive-blind Image Forensics

Publisher Summary This chapter discusses passive-blind image forensics (PBIF). PBIF is concerned with two problems: image forgery detection and image source identification. Most of the image forgery detection techniques are associated to the specific image forgery creation techniques. Forgery detectors uncover act of fabrication by assessing the authenticity of a given image. There are two approaches for image forgery detection: detecting the authentic characteristics of images and detecting the telltale characteristics specific to the image forgery creation techniques. The goal of the passive-blind image source identification is to identify the type of image source. Identification of the image source helps in deciding whether an image is acceptable for a specific application. One problem of concern in image source identification is the classification of photographic images (PIMs) and photorealistic computer graphics (PRCGs), so the chapter summarizes the differences between PIMs and PRCGs––namely, object model difference, light transport difference, and acquisition difference. The chapter gives a reference of data set by enlisting the category of images in it and concludes with a review of the automatic or the semi-automatic computer techniques for image forgery creation.

[1]  David J. Kriegman,et al.  What is the set of images of an object under all possible lighting conditions? , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[2]  Li Zhang,et al.  Single view modeling of free-form scenes , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[3]  Shih-Fu Chang,et al.  A Data Set of Authentic and Spliced Image Blocks , 2004 .

[4]  Mohamed F. Mansour,et al.  Secure watermark detection with nonparametric decision boundaries , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[5]  Andrew Zisserman,et al.  Multiple View Geometry in Computer Vision (2nd ed) , 2003 .

[6]  Shih-Fu Chang,et al.  Blind detection of photomontage using higher order statistics , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

[7]  Siwei Lyu,et al.  How realistic is photorealistic? , 2005, IEEE Transactions on Signal Processing.

[8]  Eero P. Simoncelli,et al.  On Advances in Statistical Modeling of Natural Images , 2004, Journal of Mathematical Imaging and Vision.

[9]  Harry Shum,et al.  Pop-up light field: An interactive image-based modeling and rendering system , 2004, TOGS.

[10]  Steven M. Seitz,et al.  Single-view modelling of free-form scenes , 2002, Comput. Animat. Virtual Worlds.

[11]  Hany Farid,et al.  Exposing digital forgeries by detecting inconsistencies in lighting , 2005, MM&Sec '05.

[12]  Stephen Lin,et al.  Determining the radiometric response function from a single grayscale image , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[13]  Edward H. Adelson,et al.  A multiresolution spline with application to image mosaics , 1983, TOGS.

[14]  Gary Friedman,et al.  The trustworthy digital camera: restoring credibility to the photographic image , 1993 .

[15]  Alin C. Popescu,et al.  Exposing Digital Forgeries by Detecting Duplicated Image Regions Exposing Digital Forgeries by Detecting Duplicated Image Regions , 2004 .

[16]  Shih-Fu Chang,et al.  A model for image splicing , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[17]  Paul E. Debevec.  FACADE: modeling and rendering architecture from photographs and the campanile model , 1997, SIGGRAPH '97.

[18]  Ilaria Venturini.  Counteracting Oracle attacks , 2004, MM&Sec '04.

[19]  Jitendra Malik,et al.  Modeling and Rendering Architecture from Photographs: A hybrid geometry- and image-based approach , 1996, SIGGRAPH.

[20]  Arjen P. de Vries,et al.  Detecting cartoons: a case study in automatic video-genre classification , 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

[21]  Alin C. Popescu,et al.  Exposing digital forgeries in color filter array interpolated images , 2005, IEEE Transactions on Signal Processing.

[22]  Matthew Turk,et al.  A Morphable Model For The Synthesis Of 3D Faces , 1999, SIGGRAPH.

[23]  Igor Chueshov,et al.  Navier-Stokes, Fluid Dynamics, and Image and Video Inpainting , 2001 .

[24]  Bernhard P. Wrobel,et al.  Multiple View Geometry in Computer Vision , 2001 .

[25]  Hany Farid,et al.  Detecting Digital Forgeries Using Bispectral Analysis , 1999 .

[26]  Patrick Pérez,et al.  Poisson image editing , 2003, ACM Trans. Graph..

[27]  Alex Pentland,et al.  On describing complex surface shapes , 1986, Image Vis. Comput..

[28]  Paul Debevec,et al.  Modeling and Rendering Architecture from Photographs , 1996, SIGGRAPH 1996.

[29]  Shih-Fu Chang,et al.  Physics-motivated features for distinguishing photographic images and computer graphics , 2005, ACM Multimedia.

[30]  Michael Gleicher,et al.  This document was created with FrameMaker 4.0.4 Image Snapping , 2022 .

[31]  Shih-Fu Chang,et al.  Columbia Photographic Images and Photorealistic Computer Graphics Dataset , 2005 .

[32]  Shih-Fu Chang,et al.  Visually Searching the Web for Content , 1997, IEEE Multim..

[33]  Stephen Lin,et al.  Radiometric calibration from a single image , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[34]  Sung Yong Shin,et al.  On pixel-based texture synthesis by non-parametric sampling , 2006, Comput. Graph..

[35]  Siwei Lyu,et al.  Higher-order Wavelet Statistics and their Application to Digital Forensics , 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.

[36]  Tai-Pang Wu,et al.  A Bayesian approach for shadow extraction from a single image , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[37]  Shih-Fu Chang,et al.  Camera Response Function Estimation from a Single-channel Image Using Differential Invariants , 2006 .

[38]  David Salesin,et al.  A Bayesian approach to digital matting , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[39]  Guillermo Sapiro,et al.  Navier-stokes, fluid dynamics, and image and video inpainting , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[40]  Benoit B. Mandelbrot,et al.  Fractal Geometry of Nature , 1984 .

[41]  Jan P. Allebach,et al.  Printer identification based on texture features , 2004 .

[42]  Jian Sun,et al.  Poisson matting , 2004, ACM Trans. Graph..

[43]  Hany Farid,et al.  Statistical Tools for Digital Forensics , 2004, Information Hiding.

[44]  Nasir D. Memon,et al.  Blind source camera identification , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[45]  Chi-Keung Tang,et al.  Pop-Up LightField , 2004 .

[46]  Dipl.-Ing,et al.  Real-time Rendering , 2022 .

[47]  Jan Lukás,et al.  Detecting digital image forgeries using sensor pattern noise , 2006, Electronic Imaging.

[48]  Jan P. Allebach,et al.  Intrinsic and Extrinsic Signatures for Information Hiding and Secure Printing with Electrophotographic Devices , 2003, NIP & Digital Fabrication Conference.

[49]  Marie-Pierre Jolly,et al.  Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[50]  Hany Farid,et al.  Exposing digital forgeries by detecting traces of resampling , 2005, IEEE Transactions on Signal Processing.

[51]  Mahalingam Ramkumar,et al.  A classifier design for detecting image manipulations , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[52]  Kim Steenstrup Pedersen,et al.  The Nonlinear Statistics of High-Contrast Patches in Natural Images , 2003, International Journal of Computer Vision.

[53]  William A. Barrett,et al.  Intelligent scissors for image composition , 1995, SIGGRAPH.

[54]  Harry Shum,et al.  Lazy snapping , 2004, ACM Trans. Graph..

[55]  William A. Barrett,et al.  Image Editing with Intelligent Paint , 2002, Eurographics.

[56]  Rongrong Wang,et al.  Detecting doctored images using camera response normality and consistency , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).