Security Analysis on Spatial $\pm$1 Steganography for JPEG Decompressed Images

Luo, Weiqi; Wang, Yuan‐Gen; Huang, Jiwu

doi:10.1109/lsp.2010.2091127

Cited by 27 publications

(11 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The recompression artifacts are described using a 65-dimensional feature vector formed as the histogram of blocks with a certain number of mismatched pixels. This feature vector can better distinguish between recompression artifacts and embedding changes than the scalar proposed by Luo et al [12]. In particular, it allows accurate detection of fewer than ten embedding changes for quality factors up to 92.…”

Section: Discussionmentioning

confidence: 99%

“…In this paper, we compare to the WS detector adapted for decompressed JPEGs [1] and the method of Luo et al [12]. Both methods output an estimate of the embedding change rate, β, defined as the ratio between the number of embedding changes and the number of all pixels.…”

Section: Prior Artmentioning

confidence: 99%

“…The detector by Luo et al [12] (which we abbreviate LUO) is also quantitativeit returns an estimate of the change rate as the detection statistic. It is computed from the relative number of differences between Y andŶ:…”

Section: Detector By Luo Et Almentioning

confidence: 99%

“…Note that as long as the polynomial is monotone (as it seems to always be in [12]), θ is an equivalent detection statistic, which is why we use it here for performance evaluation.…”

Section: Detector By Luo Et Almentioning

confidence: 99%

“…errors in the estimated quantization table as well as different JPEG compressors. Luo et al [12] used the same recompression predictor but based their decision on the number of pixels in which the stego image and its recompressed version differed. This allowed detection of embedding operations other than LSB replacement.…”

mentioning

confidence: 99%

See 4 more Smart Citations

JPEG-Compatibility Steganalysis Using Block-Histogram of Recompression Artifacts

Kodovský

Fridrich

2013

Information Hiding

View full text Add to dashboard Cite

Abstract. JPEG-compatibility steganalysis detects the presence of embedding changes using the fact that the stego image was previously JPEG compressed. Following the previous art, we work with the difference between the stego image and an estimate of the cover image obtained by recompression with a JPEG quantization table estimated from the stego image. To better distinguish recompression artifacts from embedding changes, the difference image is represented using a feature vector in the form of a histogram of the number of mismatched pixels in 8 × 8 blocks. Three types of classifiers are built to assess the detection accuracy and compare the performance to prior art: a clairvoyant detector trained for a fixed embedding change rate, a constant false-alarm rate detector for an unknown change rate, and a quantitative detector. The proposed approach offers significantly more accurate detection across a wide range of quality factors and embedding operations, especially for very small change rates. The technique requires an accurate estimate of the JPEG compression parameters.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Prior Artmentioning

confidence: 99%

Section: Detector By Luo Et Almentioning

confidence: 99%

“…Note that as long as the polynomial is monotone (as it seems to always be in [12]), θ is an equivalent detection statistic, which is why we use it here for performance evaluation.…”

Section: Detector By Luo Et Almentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations