JPEG Anti-Forensics With Improved Tradeoff Between Forensic Undetectability and Image Quality

Wang, Fan; Wang, Kai; Cayre, François; Zhang, Xiong

doi:10.1109/tifs.2014.2317949

Cited by 58 publications

(55 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Given the work of [4] and [6], a natural question arising is whether we can extend it to erase the compression evidence of lossy predictive image coding. A seemingly straightforward approach is to generate the dither noise sequence in a way similar to [4] and [6], add it with the PE sequence, and eventually transform the modified PE sequence back into the pixel domain.…”

Section: Proposed Anti-forensic Framework For Lossy Predictive Imentioning

confidence: 99%

“…A seemingly straightforward approach is to generate the dither noise sequence in a way similar to [4] and [6], add it with the PE sequence, and eventually transform the modified PE sequence back into the pixel domain. Unfortunately, this naive extension does not work, because of the high sensitivity of PE sequence against even tiny disturbances.…”

Section: Proposed Anti-forensic Framework For Lossy Predictive Imentioning

confidence: 99%

“…and 2) how to add it with the quantized PE? Our contribution primarily lies in solving the latter challenge, as the first one has been largely resolved, as discussed in [4] and [6].…”

Section: Proposed Anti-forensic Framework For Lossy Predictive Imentioning

confidence: 99%

“…To improve the quality of the resulting image, Valenzise et al employed an adaptive dither addition by solving a minimum-cost bipartite graph matching problem [5]. Recently, Fan et al demonstrated that better tradeoff between forensic undetectability and image distortion can be achieved through a two-round TV-based de-blocking and histogram smoothing [6]. However, all the existing antiforensic algorithms only addressed the block transform-based codecs, while leaving the lossy predictive coding unexplored.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Anti-Forensics of Lossy Predictive Image Compression

Zhou

2015

IEEE Signal Process. Lett.

View full text Add to dashboard Cite

Image compression evidence has been utilized as an important forensic feature to justify image authenticity. However, some recent studies showed that the compression evidence of block transform-based image coding, e.g., JPEG and JPEG2000, can be effectively erased by adding designed dither noise in the transform domain. In this paper, we demonstrate that it is also feasible to hide the compression evidence of lossy predictive image coding, a class of compression paradigm widely employed in critical scenarios. To tackle the challenging issue of error propagation inherent to predictive coding, we design a predictiondirection preserving strategy, allowing us to add dither noise in the prediction error (PE) domain, while minimizing the incurred distortion. Extensive experimental results are provided to verify the effectiveness of the proposed anti-forensic algorithm for lossy predictive image coding.Index Terms-Anti-forensics, lossy predictive image coding 1070-9908 (c)

show abstract

Section: Proposed Anti-forensic Framework For Lossy Predictive Imentioning

confidence: 99%

Section: Proposed Anti-forensic Framework For Lossy Predictive Imentioning

confidence: 99%

“…and 2) how to add it with the quantized PE? Our contribution primarily lies in solving the latter challenge, as the first one has been largely resolved, as discussed in [4] and [6].…”

Section: Proposed Anti-forensic Framework For Lossy Predictive Imentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Anti-Forensics of Lossy Predictive Image Compression

Zhou

2015

IEEE Signal Process. Lett.

View full text Add to dashboard Cite

show abstract

“…Popular image compression techniques include, JPEG compression where the quantization is carried out in the discrete cosine transform domain, and JPEG2000 or SPIHT (Set Partitioning in Hierarchical Trees) compression where the quantization is performed in the DWT domain. In the literature, digital image forensics and anti-forensics to JPEG compression has been well studied recently [7,8,9,10,11,12,13]. However, relatively little effort has been made to wavelet-based compression forensics.…”

Section: Introductionmentioning

confidence: 99%

Countering anti-forensics to wavelet-based compression

Wang

Chen

Wang

et al. 2014

2014 IEEE International Conference on Image Processing (ICIP)

Self Cite

View full text Add to dashboard Cite

Wavelet-based compression is widely used to reduce image redundancy for efficiently storing and transmitting the data. Thus it is an important part in digital image forensics to trace the wavelet-based image compression history. The wavelet-based compression leaves comb-like quantization artifacts in the DWT (Discrete Wavelet Transform) histogram, which however can be disguised using a proper dithering operation. In this paper, standing on the forensic side, we study the joint histogram of DWT coefficients across different levels, whose pattern is robust across a wide range of natural uncompressed images but can be easily destroyed by the waveletbased compression or the dithering operation used for anti-forensic purposes. By applying the Hough transform to the joint DWT histogram, we derive a 12-dimensional feature vector and a merged discriminating feature. Experimental results demonstrate the effectiveness of the proposed method for differentiating uncompressed images from (anti-forensic) wavelet-based compressed images.

show abstract

Anti-forensics of a NAD-JPEG Detection Scheme Using Estimation of DC Coefficients

Mandal

Das

2019

Information Systems Security

View full text Add to dashboard Cite

JPEG Anti-Forensics With Improved Tradeoff Between Forensic Undetectability and Image Quality

Cited by 58 publications

References 35 publications

Anti-Forensics of Lossy Predictive Image Compression

Anti-Forensics of Lossy Predictive Image Compression

Countering anti-forensics to wavelet-based compression

Anti-forensics of a NAD-JPEG Detection Scheme Using Estimation of DC Coefficients

Contact Info

Product

Resources

About