The basic idea of scrambling is to change the image pixel positions through matrix transform to achieve the visual effect of disorder. Cellular automata can be successfully applied for this purpose. This paper presents digital image scrambling based on two dimensional cellular automata. The proposed scheme is shown high quality of confusion in a few evolution steps. When the original image is compared with the descrambled image by human visual system, it is not recognizable which one is descrambled image and which one is the original image. The paper is organised as follows: first the concept of cellular automata is introduced, and then accordingly the game of life rules and the proposed model followed by the experimental results with discussions.

Edge detection of images is one of the basic and most significant operations in image processing and is used for object background separation, 3-D interpretation of a 2-D image, and pre-processing in image understanding and recognition algorithms. In this paper we investigate cellular automata linear rules for edge detection and based on this investigation we have classified the rules into no edge detection rules, strong edge detection rules and weak edge detection rules. Finally, we show the comparative analysis of the proposed technique with already defined techniques for edge detection and the results show desirable performance.

In digital image processing, edge detection of images is an important and difficult task. Also, if the images are corrupted by noise, it smears some details and thus resulting in inaccurate edge detection. Hence, a pre-processing step must be taken before the edge detection. In this paper a new approach for edge detection with noise filtering of digital images using Cellular Automata Game of Life is presented. This procedure can easily be generalized and used for any type of digital media. To illustrate the proposed method, some experiments have been performed on standard test images and compared with popular methods. The results reveal that the proposed method has relatively desirable performance.