31 lines
1.2 KiB
Markdown
31 lines
1.2 KiB
Markdown
# tv-image-denoising
|
|
|
|
Using the TV algorithm to denoise images with c++ and cuda.
|
|
|
|
## Requirements
|
|
g++
|
|
vcpkg
|
|
cmake
|
|
opencv2
|
|
cuda
|
|
## Build
|
|
```bash
|
|
# Generate build files
|
|
cmake -B build .
|
|
# Build
|
|
cmake --build build
|
|
```
|
|
## Run
|
|
```bash
|
|
./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.)
|