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TV Image Denoising CUDA is a command-line tool and graphical user interface (GUI) program designed for denoising images using the Total Variation (TV) denoising algorithm. It leverages the power of CUDA, a parallel computing platform and application programming interface (API) model created by NVIDIA, to accelerate the denoising process on compatible GPUs.
## Features
Denoises images using the TV denoising algorithm.
Supports various image formats.
Allows customization of denoising parameters:
Lambda: The regularization parameter for TV denoising.
Iterations: The number of iterations for TV denoising.
Provides a user-friendly GUI for easy image selection and visualization.
Saves the denoised image to a specified output file.
* Denoises images using the TV denoising algorithm.
* Supports various image formats.
* Allows customization of denoising parameters:
* Lambda: The regularization parameter for TV denoising.
* Iterations: The number of iterations for TV denoising.
* Provides a user-friendly GUI for easy image selection and visualization.
* Saves the denoised image to a specified output file.
## Usage
To use TV Image Denoising CUDA, follow these steps:
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The program will open a GUI window displaying the original image and the result image. You can interact with the GUI to adjust the denoising parameters and visualize the denoised image in real-time.
Click the "Denoise" button to perform TV denoising on the selected image using the chosen parameters.
Click the "Denoise" button to perform [TV denoising](https://gitea.varghacsongor.hu/vcscsvcscs/tv-image-denoising/wiki/tv_denoising.cu) on the selected image using the chosen parameters.
The denoised image will be displayed in the GUI, and the program will save it to the specified output file.