Strengths: The bilateral and wavelet denoising is not very complex and can be easily replicated. Each type of denoising that we did each have their own strengths and can be used when a specific feature is needed. For example, we would use MPRNet if we needed no noise, and we would use Bilateral denoising if we needed clear edges.Â
Weaknesses: None of the three images tools that we used are well rounded. The bilateral filtering leaves way too much noise. The wavelet filtering has blurry images and also leaves some noise. The NPRNet images are very blurry.
If we were to do this project again, we would most start by finding a denoising tool that has been proved to be capable of removing most noise and not blurring the images. I feel like the wavelet and bilateral filters are quite simple and not very effective, while the NPRNet was a step above them but still lacked the crisp image quality be were looking for.