  Parallel algorithms for solving any image processing task is a highly
demanded approach in the modern world. Cellular Automata (CA) are the most
common and simple models of parallel computation. So, CA has been successfully
used in the domain of image processing for the last couple of years. This paper
provides a survey of available literatures of some methodologies employed by
different researchers to utilize the cellular automata for solving some
important problems of image processing. The survey includes some important
image processing tasks such as rotation, zooming, translation, segmentation,
edge detection, compression and noise reduction of images. Finally, the
experimental results of some methodologies are presented.
