Fourier Fusion Lab is an advanced desktop application meticulously designed to demonstrate the intricate interplay between magnitude and phase components in signals, with a particular emphasis on frequency contributions. This software focuses on 2D signals (images), but the concepts apply to any type of signal. The program provides a feature-rich environment for viewing, customizing, and mixing grayscale images.
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Image Exploration and Visualization:
- Seamlessly open and view up to four grayscale images simultaneously, each meticulously presented in its dedicated viewport.
- Enjoy a cohesive viewing experience as images are dynamically resized to match the smallest size among all opened images.
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Insightful Fourier Transform (FT) Component Display:
- Gain deeper insights into signal characteristics with per-image viewport displays showcasing Fourier Transform components, including Magnitude, Phase, Real, and Imaginary parts.
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Intuitive Image Navigation:
- Effortlessly navigate between images by double-clicking on the respective viewer, triggering a tailored browsing function exclusive to each image.
- Streamlined Output Display:
- Utilize two output viewports mirroring the input image viewports, offering precise control over the display of newly generated mixer results.
- Precision Image Enhancement Controls:
- Fine-tune brightness and contrast levels with intuitive controls applicable to all four image components, ensuring optimal visualization and analysis.
- Tailored Weighted Averaging:
- Unlock creativity with an advanced mixer generating output images from the inverse Fourier transform of a meticulously weighted average of the Fourier Transforms of the four input images.
- Customize weights assigned to each image's Fourier Transform using intuitive sliders for unparalleled creative control.
- Selective Frequency Region Manipulation:
- Exercise precise control over signal frequencies by selecting regions of interest for each Fourier Transform component, whether exploring the depths of low frequencies or the heights of high frequencies.
- Seamless Real-time Operations:
- Stay informed with a dynamic progress bar providing real-time updates on ongoing mixing processes, ensuring a seamless user experience even during resource-intensive operations.
Task4_demo.mp4
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Clone the repository:
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Install the required dependencies:
pip install -r requirements.txt
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Run the program:
python main.py
We would like to acknowledge the following individuals for their contributions:
Omar Atef |
Ibrahim Emad |
Hazem Rafaat |
Ahmed Khaled |
This project is licensed under the MIT License. Feel free to use, modify, and distribute this software according to the terms of the license.
This project was supervised by Dr. Tamer Basha & Eng. Abdallah Darwish as a part of Digital Signal Processing course at Cairo University Faculty of Engineering.
