As you can see, the original images showed a greater deal of noise grain than the stacked one. ISO noise and Luminance noise and Chrominance noise are examples of digital noises that are random. If the considered digital noise affects the pixel values randomly across the stack, then the result of averaging the stack is that the random component of the noise to the pixel value is significantly reduced. The result is a single image with improved signal to noise ratio, i. In the simplest form of image stacking, the pixels values for all images in the stack are averaged to produce a single image. The concept behind image stacking is simple, but to appreciate how it works, there are a couple of things we have to consider. Click here to skip to our Image Stacking Demo Video. In this article, we will discuss some of the most popular software available for astrophotography image stacking. Image stacking is the technique used to improve the signal to noise ratio, and it is the only noise reduction method that will boost the image details rather than smear them out. In astrophotography you cannot avoid post processing your images, so stacking and editing your images serves three main purposes.
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