Stippling is a simple non-photorealistic rendering (NPR) method. NPR stippling images are monochromatic binary images, which are made up of black dots distributed over white backgrounds. In this paper. we extend the composition and present methods for producing monochromatic multi-valued stippling and color stippling images. Our method is based on the scheme of point redistribution according to probability distributions presented by Secord et al. We extend their scheme and apply it to stippling with multi-valued dots over multi-valued backgrounds and to color images. Additionally, we develope a technique for improving the detail description by varying the dot sizes according to the gradient of tonal intensities of the input images.