Extend readme with original exercise

README.md

@@ -17,5 +17,14 @@ cmake --build build
 ```
 ## Run
 ```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.)