The Using of Gaussian Pyramid Decomposition, Compact Watershed Segmentation Masking and DBSCAN in Copy-Move Forgery Detection with SIFT

Analyzing digital images to reveal modifications is called image forensics. Digital images are now becoming incredibly popular due to the availability of several inexpensive image-capturing gadgets. These images are frequently altered, either unintentionally or intentionally, which causes the image to convey false information. Since digital images are frequently utilized as evidence in court proceedings, media, and for preserving visual records, approaches to detecting forgeries in these images should be designed. This paper thoroughly analyzes several image forgery detection strategies, including comparisons of the strategies, advantages, disadvantages, and experimental findings.

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The Using of Gaussian Pyramid Decomposition, Compact Watershed Segmentation Masking and DBSCAN in Copy-Move Forgery Detection with SIFT

Cited by 2 publications

References 19 publications

Change Detection and Feature Extraction Using High-Resolution Remote Sensing Images

Change Detection and Feature Extraction Using High-Resolution Remote Sensing Images

Performance analysis of various copy-move forgery detection methods

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