This repository contains the source code for three projects completed as part of a "Digital Image Processing" course.
This project focuses on fundamental image processing techniques:
- Image rotation
- Local descriptor generation for rotation-invariant feature matching
- Harris corner detection implementation
The goal is to gain practical experience with simple image transformations, feature description, and corner detection algorithms.
 |
 |
|---|---|
 |
|
This project explores different image segmentation techniques:
- Representing images as graphs
- Non-recursive graph spectral clustering
- Recursive normalized cuts (n-cuts) segmentation
- Superpixel-based segmentation using SLIC
The aim is to understand and implement various approaches to partition images into meaningful segments or regions.
This project deals with creating and processing high dynamic range images:
- Merging multiple low dynamic range (LDR) images into an HDR image
- Tone mapping for HDR image display
- Radiometric calibration using Debevec's method
- Image registration to improve HDR rendering
The objective is to learn techniques for capturing and representing a wider range of luminance in images than standard digital imaging allows.
 |
 |
|---|---|
 |
 |