New texture descriptor based on modified fractional entropy for digital image splicing forgery detection

New texture descriptor based on modified fractional entropy for digital image splicing forgery detection

Forgery in digital images is immensely affected by the improvement of image manipulation tools. Image forgery can be classified as image splicing or copy-move on the basis of the image manipulation type. Image splicing involves creating a new tampered image by merging the components of one or more i...

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Bibliographic Details
Main Authors: Hamid, A. Jalab, Subramaniam, Thamarai, Rabha, W. Ibrahim, Kahtan, Hasan, Nurul F., Mohd Noor
Format: Article
Language:English
Published: MDPI AG 2019
Subjects:
QA Mathematics
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/25710/1/New%20texture%20descriptor%20based%20on%20modified%20fractional%20entropy.pdf
http://umpir.ump.edu.my/id/eprint/25710/
https://doi.org/10.3390/e21040371
https://doi.org/10.3390/e21040371
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Institution: Universiti Malaysia Pahang
Language: English

Internet

http://umpir.ump.edu.my/id/eprint/25710/1/New%20texture%20descriptor%20based%20on%20modified%20fractional%20entropy.pdf
http://umpir.ump.edu.my/id/eprint/25710/
https://doi.org/10.3390/e21040371
https://doi.org/10.3390/e21040371

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