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+# TV Image Denoising CUDA
+
+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.
+
+## Usage
+To use TV Image Denoising CUDA, follow these steps:
+
+Build the program using the provided source code and necessary dependencies.
+
+Run the program with the following command:
+
+`./TV_Denoising_CUDA <input_image> <output_image> <lambda> <iterations>`
+
+* <input_image>: The path to the input image file you want to denoise.
+* <output_image>: The path to the output denoised image file.
+* <lambda> (optional): The regularization parameter for TV denoising (default: 0.02).
+* <iterations> (optional): The number of iterations for TV denoising (default: 10).
+    
+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.
+
+The denoised image will be displayed in the GUI, and the program will save it to the specified output file.
+
+## Dependencies
+Qt framework (Qt GUI library)
+OpenCV library
+CUDA toolkit (compatible GPU required)