Digital-Image-Processing

This repository contains Python implementations of various image processing techniques using OpenCV and NumPy.

Implemented Techniques

Image Negative – Inverts image colors.
Log & Power-Law Transformation – Enhances brightness and contrast.
Spatial Filtering – Applies smoothing and sharpening filters.
Image Enhancement – Arithmetic and logical operations on images.
Image Transformations – Fourier and other domain-based transformations.
Histogram Processing – Equalization and contrast adjustments.
Frequency Domain Processing – Image analysis in the frequency spectrum.
Color Image Processing – Manipulation of multi-channel images.
Image Segmentation – Object detection and edge-based segmentation.
Morphological Processing – Operations like erosion, dilation, and edge detection.
Image Registration – Aligning images for further processing.