Image Reconstruction/Enhancement with Real-time Image Processing

a) Image Reconstruction/Enhancement

1) Image Transformation through Domains:
- Fourier Transform
- Discrete Fourier Transform
- Convolution Theorem and Filtering in Frequency Domain
- Discrete Cosine Transform
- Haar Transform

2) Image Enhancement:

- Operations in Frequency Domain vs Spatial Domain (Point Processing Techniques/Spatial Filtering)
- Histogram Equalization
- Histogram Matching
- Denoising/Deblurring etc.
- Upsampling/Super-Resolution

3) Image Reconstruction/Enhancement using Deep Learning

b) Development of a Real-time Image Processing Framework

1) Data Acquisition
2) Pre-processing (including Image Reconstruction/Enhancement)
3) Object Detection/Segmentation (including model optimization using pruning/quantization etc)
4) Post-processing
5) Containerization/Storage

c) Optional: Use case in real world applications: Medical Imaging