What is the process of forward diffusion?Start with a noisy image and remove noise randomlyStart with a clean image and add noise iterativelyStart with a noisy image and remove noise iterativelyStart with a clean image and add noise randomly

Forward diffusion is a process that starts with a noisy image and removes noise iteratively. This process is often used in image processing to enhance the quality of images. Here are the steps involved:

1. Start with a noisy image: The process begins with an image that has a significant amount of noise. This could be an image that was taken in low light conditions, or an image that has been corrupted in some way.

2. Identify the noise: The next step is to identify the noise in the image. This can be done using various image processing techniques, such as filtering or edge detection.

3. Remove the noise iteratively: Once the noise has been identified, the process of forward diffusion begins. This involves iteratively removing the noise from the image. This is done by replacing each noisy pixel with a weighted average of its neighboring pixels. The weights are determined by the amount of noise in each neighboring pixel.

4. Repeat the process: The process of identifying and removing noise is repeated until the image is as clean as possible. The number of iterations required will depend on the amount of noise in the original image.

5. End result: The end result is an image that has had as much noise as possible removed, resulting in a cleaner, clearer image.