Read in more arguments,

src/main.cpp

@@ -7,8 +7,12 @@ Description:
     It reads an image file, denoises it using the TV denoising algorithm,
     and saves the denoised image to a file.
     You can run it with the following command:
-        ./TV_Denoising_CUDA <input_image>
-    where <input_image> is the path to the image file you want to denoise.
+        ./TV_Denoising_CUDA <input_image> <output_image> <lambda> <iterations>
+    where:
+        - <input_image> is the path to the input image file you want to denoise.
+        - <output_image> is the path to the output denoised image file.
+        - <lambda> is the regularization parameter for TV denoising (optional, default: 0.02).
+        - <iterations> is the number of iterations for TV denoising (optional, default: 10).
 */
 #include <iostream>
 #include <opencv2/opencv.hpp>
@@ -16,29 +20,42 @@ Description:
 
 int main(int argc, char** argv)
 {
-    // Check if an image file path is provided as an argument
-    if (argc != 2)
+    // Check if the required arguments are provided
+    if (argc < 3)
     {
-        std::cerr << "Usage: ./denoiser <image_file_path>" << std::endl;
+        std::cerr << "Usage: ./TV_Denoising_CUDA <input_image> <output_image> [<lambda>] [<iterations>]" << std::endl;
         return 1;
     }
 
-    // Read the image
-    cv::Mat image = cv::imread(argv[1], cv::IMREAD_GRAYSCALE);
+    // Read the input arguments
+    std::string inputImagePath = argv[1];
+    std::string outputImagePath = argv[2];
+    float lambda = 0.02;
+    int iterations = 10;
+
+    // Check if optional arguments are provided and update the corresponding variables
+    if (argc >= 4)
+        lambda = std::stof(argv[3]);
+    if (argc >= 5)
+        iterations = std::stoi(argv[4]);
+
+    // Read the input image
+    cv::Mat image = cv::imread(inputImagePath, cv::IMREAD_GRAYSCALE);
 
     // Check if the image was successfully loaded
     if (image.empty())
     {
-        std::cerr << "Failed to read the image." << std::endl;
+        std::cerr << "Failed to read the input image." << std::endl;
         return 1;
     }
 
-    TVDenoising(image, 0.02, 10);
+    // Perform TV denoising
+    TVDenoising(image, lambda, iterations);
 
     // Display and save the denoised image
     cv::imshow("Denoised Image", image);
     cv::waitKey(0);
-    cv::imwrite("denoised_image.jpg", image);
+    cv::imwrite(outputImagePath, image);
 
     return 0;
 }