haleshot / signal_image_processing

Dive into the world of Signal and Image Processing with this repository. Explore a collection of Python programs covering Discrete Fourier Transform, Elementary Signals, Sampling, Point Processing Techniques, Histogram Processing, Frequency Domain Filtering, Edge Detection, Erosion and Dilation, and Morphological Operations.

Signal and Image Processing Repository

This repository contains various programs related to Signal and Image Processing. These programs cover a range of topics such as LPF, HPF, Downsampling, Upsampling, Thresholding, Negative of an Image, and Blurring. The programs are implemented using Python and commonly used libraries like OpenCV, Matplotlib and Pandas along with custom user-defined functions.

Serial Number	Program Title	Description	Tools Used	Repository Link
1	Discrete Fourier Transform	Implementation of the Discrete Fourier Transform (DFT)	Python, NumPy, OpenCV	Discrete_Fourier_Transform
2	Elementary Signals	Implementation of basic elementary signals	Python, NumPy, Matplotlib	Elementary_Signals
3	Sampling and Greyscale Resolution	Demonstration of sampling and greyscale resolution	Python, NumPy, OpenCV	Sampling_and_Greyscale_Resolution
4	Point Processing Techniques	Implementation of point processing techniques	Python, NumPy, OpenCV	Point_Processing_Techniques
5	Histogram Processing	Implementation of histogram processing techniques	Python, NumPy, OpenCV	Histogram_Processing
6	Frequency Domain Filtering	Implementation of frequency domain filtering techniques	Python, NumPy, OpenCV	Frequency_Domain_Filtering
7	Edge Detection	Implementation of edge detection algorithms	Python, NumPy, OpenCV	Edge_Detection
8	Erosion and Dilation	Implementation of erosion and dilation operations	Python, NumPy, OpenCV	Erosion_Dilation
9	Morphological Operations	Implementation of morphological operations	Python, NumPy, OpenCV	Morphological_Operations

Usage

Each program in this repository is designed to be run independently. To use a specific program, follow the instructions provided in its corresponding directory.

Contributing

Contributions to this repository are welcome. If you would like to contribute or have suggestions for improvement, please create a pull request or submit an issue in the respective program's repository.

License

This repository is licensed under the MIT License. Please see the individual program directories for more information on licensing for each program.

Contact

If you have any questions or inquiries, feel free to contact the repository owner or contributor through their GitHub profiles listed in the respective program repositories.