Performance and analysis of detecting image forgery block processing and determination of pixel for images forensics in video frames

Digital forensics (now and later called digital forensic science) forensic is a branch of science that involves retrieving and testing objects initiated on cardinal procedures. Images and videos need to develop significant data exporters in the current era. Doctor Images is gradually approaching as...

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Veröffentlicht in:AIP conference proceedings 2022-10, Vol.2519 (1)
Hauptverfasser: Palaniappan, Karthikeyan, Chakravarthi, Viswanathan, Santhanavelu, Arumugam Santhana
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Sprache:eng
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Zusammenfassung:Digital forensics (now and later called digital forensic science) forensic is a branch of science that involves retrieving and testing objects initiated on cardinal procedures. Images and videos need to develop significant data exporters in the current era. Doctor Images is gradually approaching as an approach that affects individuals and changes their feelings and emotions in the light of different occasions. In the present case, the video counterfeit size has expanded with the expansion of malware work on the Internet, which has made it possible for any customer to download and share items, including images, audio, and video on the Internet. Digital image forensics aims to recognize the legitimacy of images by retrieving data about their history. There are two basic problems: the unique source of the image imaging device and the detection of duplicate notes. Image duplication detection techniques are expected to ensure the validity of computerized images lacking past data about the novel image. There are various courses for modifying an image, for example, rearrangement, splitting, and copy moving. These days, due to the promising results of early selections and constantly growing applications, digital image forensics speaks of an attractive selection space for some researchers. This research study is a comprehensive study of image forensic image processing detection and pixel resolution in video frames.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0110664