BM3D denoising method implementation on Python

BM3D.py is an implementation based on my understanding of the method proposed by K. Dabov et al. in 2007. For more information, please have a visit at Image denoising by sparse 3D transform-domain collaborative filtering and An Analysis and Implementation of the BM3D Image Denoising Method.

The output images of my code and official Matlab software are shown in PNG files for comparison and the PSNR is computed as the comparison criterion. The performance of my result is not as good as the official one since I have no idea whether I process some steps rightly in the method, like Wiener filtering.

The running time of the whole process is about 25 minutes which is much longer than that of the official code. There is still some work needed to reduce the computing complexity.

Any suggestions on improving speed and final performance are welcome. For that, contact with me

email: [email protected]