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Extend readme with original exercise

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Vargha Csongor
2023-06-25 14:29:29 +02:00
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README.md
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@@ -17,5 +17,14 @@ cmake --build build
``` ```
## Run ## Run
```bash ```bash
./TV_Denoising_CUDA <input_image> ./TV_Denoising_CUDA <input_image> <output_image> <lambda> <iterations>
``` ```
## 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.)