What is the process of forward diffusion?Start with a noisy image and remove noise iterativelyStart with a clean image and add noise iterativelyStart with a clean image and add noise randomlyStart with a noisy image and remove 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 due to various factors such as poor lighting, low-quality equipment, or transmission errors.

2. Identify the noise: The next step is to identify the noise in the image. This could be done using various techniques such as histogram analysis, Fourier transform, or other image analysis methods.

3. Remove the noise iteratively: Once the noise has been identified, the next step is to remove it. This is done iteratively, meaning that the process is repeated several times. With each iteration, the image quality improves as more and more noise is removed.

4. Repeat the process: The process is repeated until the desired level of image quality is achieved. The number of iterations required will depend on the initial quality of the image and the desired outcome.

5. Final image: The result is a clean image where the noise has been significantly reduced or completely removed.