A Reliable JPEG Quantization Table Estimator

Tina Nikoukhah (1) , Miguel Colom (1) , Jean-Michel Morel (1) , Rafael Grompone von Gioi (1)

1 CB - CB - Centre Borelli - UMR 9010

JPEG compression is a commonly used method of lossy compression for digital images. The degree of compression can be adjusted by the choice of a quality factor QF. Each software associates this value to a quantization table, which is a 8 × 8 matrix used to quantize the DCT coefficients of an image. We propose a method for recovering the JPEG quantization table relying only on the image information, without any metadata from the file header; thus the proposed method can be applied to an uncompressed image format to detect a previous JPEG compression. A statistical validation is used to decide whether significant quantization traces are found or not, and to provide a quantitative measure of the confidence on the detection. Source Code The reviewed source code and documentation for this algorithm are available from the web page of this article. Compilation and usage instruction are included in the README.md file of the archive.

Mots clés: JPEG compression; quantization; a contrario method; DCT coefficient

Domaines: Traitement des images [eess.IV]

Tina Nikoukhah, Miguel Colom, Jean-Michel Morel, Rafael Grompone von Gioi. A Reliable JPEG Quantization Table Estimator. Image Processing On Line, 2022, 12, pp.173-197. ⟨10.5201/ipol.2022.399⟩. ⟨hal-03858141⟩