Passive forensics in image and video using noise features: A review

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• 作者：Ramesh C. Pandeyp> ; p>p>rameshcse19@gmail.comp> ; Sanjay K. Singh ; Kaushal K. Shukla
• 关键词：Image forensics ; Video forensics ; Noise ; Noise extraction techniques ; Passive forensic techniques
• 刊名：Digital Investigation
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：19
• 期：Complete
• 页码：1-28
• 全文大小：1819 K
• 卷排序：19

文摘

Due to present of enormous free image and video editing software on the Internet, tampering of digital images and videos have become very easy. Validating the integrity of images or videos and detecting any attempt of forgery without use of active forensic technique such as Digital Signature or Digital Watermark is a big challenge to researchers. Passive forensic techniques, unlike active techniques, do not need any preembeded information about the image or video. The proposed paper presents a comprehensive review of the recent developments in the field of digital image and video forensic using noise features. The previously existing methods of image and video forensics proved the importance of noises and encourage us for the study and perform extensive research in this field. Moreover, in this paper, forensic task cover mainly source identification and forgery detection in the image and video using noise features. Thus, various source identification and forgery detection methods using noise features are reviewed and compared in this paper for image and video. The overall objective of this paper is to give researchers a broad perspective on various aspects of image and video forensics using noise features. Conclusion part of this paper discusses about the importance of noise features and the challenges encountered by different image and video forensic method using noise features.