Boosting CNN-based primary quantization matrix estimation of double JPEG images via a classification-like architecture
Abstract Estimating the primary quantization matrix of double JPEG compressed images is a problem of relevant importance in image forensics since it allows to infer important information about the past history of an image. In addition, the inconsistencies of the primary quantization matrices across...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-05-01
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Series: | EURASIP Journal on Information Security |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13635-021-00119-0 |