Parallel Image Processing $($Edge Detection$)$

Objective: Implement an edge detection algorithm using OpenMP to process images in

parallel.

Description: Edge detection is an important task in image processing. The goal is to use a

Sobel filter to detect edges in an image and accelerate the computation using parallelism.

Steps:

Load an image into a matrix of pixel values.

Implement the Sobel filter for edge detection in serial.

Use OpenMP to parallelize the application of the Sobel filter.

Optimize the parallel implementation to maximize speedup.

Compare the edge$-$detected images from the serial and parallel implementations to

ensure correctness.

Key Learning Outcomes:

Handling image data and applying filters.

Advanced OpenMP usage for nested loops and reduction operations.

Balancing load among threads for performance optimization.