Image Restoration Using the Lucy-Richardson Method
- Login to Download
- 1 Credits
Resource Overview
Detailed Documentation
Image restoration was implemented using the Lucy-Richardson method, which employs an iterative deconvolution algorithm to recover the original image from blurred and noisy data. The algorithm works by iteratively comparing the current estimate with the observed image and applying corrections based on the point spread function (PSF). Initially, we executed 5 iterations to achieve preliminary restoration, followed by an additional 10 iterations for a total of 15 iterations. This progressive approach allowed us to evaluate how increasing iteration counts improves image clarity and detail recovery while monitoring potential noise amplification. Through these iterations, we successfully enhanced the image's sharpness and reconstructed finer details with progressively better accuracy.
- Login to Download
- 1 Credits