Performing Discrete Waveform Transformation (DWT) on Noisy and Clean Images
Budget: $30 – $250 USD
1. The project requires Discrete Waveform Transformation (DWT) to be performed on Noisy and Clean Images. If there are multiple definition of DWT, please inform me in advance.
2. The work must be done via programming code from scratch preferably Python. If different language is to be proposed, must first inform me
3. Commercial software such as Matlab cannot be used
4. Expectation to produce graph / histograms of DWT Coefficients. Expected results will be shared
5. Code must run locally on windows laptop and guide me through code explanation
6. Input noisy and clean image are relatively small size
7. For testing of result graph, requires for noisy image to be converted into clean image (producing ground truth). Only few images are required to be produced for ground truth
8. End results, graph/histogram DWT of images must be clear and accurate. No altering code to ensure constant or skewed end results to match preferred results
2. The work must be done via programming code from scratch preferably Python. If different language is to be proposed, must first inform me
3. Commercial software such as Matlab cannot be used
4. Expectation to produce graph / histograms of DWT Coefficients. Expected results will be shared
5. Code must run locally on windows laptop and guide me through code explanation
6. Input noisy and clean image are relatively small size
7. For testing of result graph, requires for noisy image to be converted into clean image (producing ground truth). Only few images are required to be produced for ground truth
8. End results, graph/histogram DWT of images must be clear and accurate. No altering code to ensure constant or skewed end results to match preferred results
Related categories:
Python
Software Architecture
Mathematics
Image Processing
Digital Signal Processing