/Image-Forgery-Detection-Using-DCT

Detects areas of copy-move forgery in images using the concept of Discrete Cosine Transforms

Primary LanguagePython

Image-Forgery-Detection-Using-DCT

About

This project focuses on detecting a specific form of image forgery known as a copy-move attack, in which a portion of an image is copied and pasted elsewhere. We’ve accomplished the task of implementing a detection method for this kind of forgery, using image processing concepts such as discrete cosine transforms and quantization.

Workflow

image

The Algorithm

Steps to run

  1. Download and store all the files present in the Code Files locally
  2. Mention the name of the image you'd like to read at line 19 in the cmf_detect.py file
  3. Run cmf_detect.py to see results.

Sample Result

image