CNN-based first quantization estimation of double compressed JPEG images

Battiato, Sebastiano; Giudice, Oliver; Guarnera, Francesco; Puglisi, Giovanni

doi:10.1016/j.jvcir.2022.103635

Cited by 9 publications

(2 citation statements)

References 22 publications

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“…This is because compressed images have lower storage space and transmission bandwidth requirements. At present, vector quantization (VQ) [14][15][16], joint photographic expert group (JPEG) [17][18][19], and absolute moment block truncation coding (AMBTC) [20,21] are some commonly used compression techniques. Amongst these techniques, AMBTC requires the least computational cost.…”

Section: Introductionmentioning

confidence: 99%

An Authentication Method for AMBTC Compressed Images Using Dual Embedding Strategies

et al. 2023

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In this paper, we proposed an efficient authentication method with dual embedment strategies for absolute moment block truncation coding (AMBTC) compressed images. Prior authentication works did not take the smoothness of blocks into account and only used single embedding strategies for embedment, thereby limiting image quality. In the proposed method, blocks were classified as either smooth or complex ones, and dual embedding strategies used for embedment. Respectively, bitmaps and quantized values were embedded with authentication codes, while recognizing that embedment in bitmaps of complex blocks resulted in higher distortion than in smooth blocks. Therefore, authentication codes were embedded into bitmaps of smooth blocks and quantized values of complex blocks. In addition, our method exploited to-be-protected contents to generate authentication codes, thereby providing satisfactory detection results. Experimental results showed that some special tampering, undetected by prior works, were detected by the proposed method and the averaged image quality was significantly improved by at least 1.39 dB.

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Section: Introductionmentioning

confidence: 99%

An Authentication Method for AMBTC Compressed Images Using Dual Embedding Strategies

et al. 2023

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“…Data related to the camera that took the picture ( [7], [8]), together with the reconstruction of further processing, could provide useful hints about the reliability of the visual document under analysis. At first, the investigation could start with the detection of the traces left by double JPEG compression [9], followed by the retrieval of information about camera model with First Quantization Estimation (FQE) ([10]- [14]. Finally the source can be identified exploiting Photo Response Non Uniformity (PRNU) analysis ( [7], [15], [16]).…”

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confidence: 99%

Exploiting AC Histogram Statistics for Misalignment Estimation in Double JPEG Compressed Images

Battiato,

Guarnera,

Puglisi

2024

IEEE Access

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A critical task in forensics investigation is the recovery of the manipulation history of the image under analysis. To this aim, considering a typical life-cycle of a digital image, the estimation of the misalignment occurred between consecutive JPEG compressions can be considered an useful starting point to localize forgeries and retrieve information about the camera that took the picture through first quantization matrix estimation. In this work, starting from statistics computed from the AC histograms obtained applying a third JPEG compression, an effective and robust deep learning based approach devoted to estimate the aforementioned misalignment has been designed. Finally, to assess the performance of the proposed solution a series of tests has been conducted at varying of patch sizes, quantization matrices, employed datasets, and comparisons with state-of-the-art solutions.INDEX TERMS Image forensics, non-aligned double JPEG compression, misalignment estimation, DCT coefficient analysis.

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Not with My Name! Inferring Artists’ Names of Input Strings Employed by Diffusion Models

Leotta,

Giudice,

Guarnera

et al. 2023

Lecture Notes in Computer Science

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CNN-based first quantization estimation of double compressed JPEG images

Cited by 9 publications

References 22 publications

An Authentication Method for AMBTC Compressed Images Using Dual Embedding Strategies

An Authentication Method for AMBTC Compressed Images Using Dual Embedding Strategies

Exploiting AC Histogram Statistics for Misalignment Estimation in Double JPEG Compressed Images

Not with My Name! Inferring Artists’ Names of Input Strings Employed by Diffusion Models

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