DSLR Imperfections Extraction from Image for Source Detection
Digital images frequently contain the objects which are not true for the depicted scene that can completely change the human perception of provided information. This article proposes an approach to search of the digital image forensics caused by distortions and noise of the Digital Single Lens Refle...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
FRUCT
2018-05-01
|
Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
Subjects: | |
Online Access: | https://fruct.org/publications/fruct22/files/Ami.pdf
|