An ensemble machine learning technique for effective detection of copy move forgeries in digital images

By: Material type: TextTextPublication details: Faisalabad (unpublished) 2024Description: vii, 74 p. : ill. ; 30 cm. +CDSubject(s): DDC classification:
  • 006.6 AYE
Dissertation note: Thesis(MS)--Riphah International University, 2024
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Item type Current library Call number Copy number Status Date due Barcode
Thesis Thesis Faisalabad Campus 006.6 AYE (Browse shelf(Opens below)) 8 Not for loan 99526

Submitted in fulfillment of the requirements for the degree of Master of Computer Science in the Faculty of Computing.

Includes bibliographical references.

Thesis supervisor: Dr. Ijaz Ali Shoukat

Thesis(MS)--Riphah International University, 2024

English

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