Image Reconstruction/Enhancement with Real-time Image Processing

[krmdel]

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

[bellabf]

Hi! I think it would be nice to have real time computer vision examples. I just wanted to point it out that there is quite an overlap between this outline and the image and imaging and the feature extraction chapter. . So, something to be aware of.

[johko]

Hey, sorry for the late reply. I agree with @bellabf - there is quite some overlap and for now I would focus on getting content done for the topics we have.
But we should definitely keep your suggestions for future iterations @krmdel ! 🙂