Image Reconstruction from Noisy Image

Topic: "Digital Image Processing"
Client: CarrierGuide15

Short Descp:

In this project, I was trying to reconstruct image from noisy one without losing much detail information in it. In Gonzalez amazing book, they provide a method named Backprojection to reconstruct image. What I did is to implement this method and design new scheme to raise result. In this project, I uses Radon + Hamming as an improvement scheme.

Snapshots

Original image

Based on the program, we get result of simple backprojection:

Radon and hamming filtering result

We can see clearly that Radon+Hamming filter give good results. Noises present in original image has been eliminated kinda successful. Simple back projection give bad result, surrounded by white circle because its image complexity. In simple Backprojection we do ordinary image rotation and give cubic interpolation while in radon hamming we used radon coefficients to as image rotation. We use hamming to eliminate noises present in image. So it gives nice image better than by simple backprojection. But still result of both process give kinda blurred image.