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

• 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
• Institution: Universiti Malaysia Pahang

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...