dedrec / high-pass-filter-using-openmp-and-mpi

This project aims to enhance image sharpness using high pass filters while mitigating noise amplification.

High-pass-filter-using-openmp-and-mpi

Description:

This project implements various high-pass filters using different parallelization techniques, including OpenMP and MPI. It applies high-pass filtering to input images using different kernel types and parallelization strategies.

Contents:

1. sequential_dynamicKernel.cpp: Sequential implementation of high-pass filtering with a dynamically generated kernel.
2. sequential_staticKernel.cpp: Sequential implementation of high-pass filtering with a statically defined kernel.
3. openmp_dynamicKernel.cpp: OpenMP parallel implementation of high-pass filtering with a dynamically generated kernel.
4. openmp_staticKernel.cpp: OpenMP parallel implementation of high-pass filtering with a statically defined kernel.
5. mpi_staticKernel.cpp: MPI parallel implementation of high-pass filtering with a statically defined kernel.
6. mpi_dynamicKernel.cpp: MPI parallel implementation of high-pass filtering with a dynamically generated kernel.
7. Samples: Sample input images used for testing the filtering algorithms.

Usage:

1. Compile each source code file using a C++ compiler.
2. Execute the compiled binaries.

Dependencies:

• OpenCV: This project uses OpenCV for image input/output and processing.
• MPI: Required for MPI parallelization.
• OpenMP: Required for OpenMP parallelization.

Sample Input and Output:

• Input Image:

• Output Image: