Removing artifacts using dithering compensation in image streaming systems and applications

Abstract

In various examples, processing pipelines for removing artifacts from images are described herein. Systems and methods are disclosed that use one or more multi-pass techniques to identify and process areas in an image that have artifacts. For instance, using a series of forward passes, the image is processed to generate multiple levels of images, where the levels of images are used to identify at least areas of the original image that include artifacts and areas of the original image that include true color edges. Next, using a series of backward passes, processing is performed on color values associated with the areas that include artifacts to determine new color values for the pixels within the areas. In some examples, dithering may then be performed on the new color values to distribute errors in quantization across the pixels and remove the artifacts.