Final answer:
Grayscale error diffusion involves distributing image conversion errors to create a dithered grayscale image, while true gray represents the intensity of each pixel accurately without any error diffusion.
Step-by-step explanation:
To compare grayscale error diffusion and true gray, it is important to understand the difference between the two. Grayscale error diffusion is a technique used in digital image processing to create a grayscale image from a color image. It distributes the error generated during the conversion process to neighboring pixels, resulting in a dithered image. On the other hand, true gray refers to a grayscale image that accurately represents the intensity of each pixel, without any dithering or error diffusion. In summary, grayscale error diffusion involves distributing image conversion errors to create a dithered grayscale image, while true gray represents the intensity of each pixel accurately without any error diffusion.