From ba78f9242d7e8c0c2504753c4a2f7c4bb341ce0c Mon Sep 17 00:00:00 2001 From: Vargha Csongor Date: Sun, 25 Jun 2023 14:29:29 +0200 Subject: [PATCH] Extend readme with original exercise --- README.md | 13 +++++++++++-- 1 file changed, 11 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index e3ba37f..1711c37 100644 --- a/README.md +++ b/README.md @@ -17,5 +17,14 @@ cmake --build build ``` ## Run ```bash -./TV_Denoising_CUDA -``` \ No newline at end of file +./TV_Denoising_CUDA +``` + +## Original Exercise: +7. Image denoising (up to 50+10+20=80%+) +- [x] Use and implement a total variation image denoising method for the GPU. The input should be a noisy image, processed on the GPU by solving the energy minimization problem, then the output image should be displayed or saved to the disk. (50%) + +- [ ] You can gain extra points for providing a simple GUI that allows the user to tune the parameters of the denoising algorithm, and immediately display the results! (+10%) + +- [ ] Additional extra points can be achieved by also submitting a comparative evaluation of yours and other denoising techniques, applied to various inputs. I.e., use metrics such as SSIM, NCC, MAD, etc. to compare results to ground truth images. (+20%) +(Plus points: The more techniques you compare or the better quality that your figures,charts & diagrams are, you may be rewarded by further extra points.)