Image Forgery Detection Implementation Using SIFT, RANSAC, and Color Processing

This repository provides comprehensive information about image forgery detection using SIFT (Scale-Invariant Feature Transform) and RANSAC (Random Sample Consensus) algorithms. The implementation includes color processing as a preprocessing step, with potential extensions to deep learning approaches for enhanced pattern recognition and analysis.

Theoretical Foundations of Color Processing with Code Implementation

Source code for theoretical foundations of color processing, including grayscale conversion and pseudo-color processing, color adjustment techniques, brightness/contrast modification, color quantization and reduction, dithering algorithms, and enhanced CDib implementations.