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In recent days, web information retrieval through various search engines plays an important role in quick access of knowledge. This information retrieval includes both textual and image extraction. The search engine serves the user query result in an indexed way which introduces the proper ranking of the relevant results. It is desirable that higher quality information should have higher priority, i.e., higher ranking in that particular indexing. In this paper, the authors have put forward their emphasis on the improvement of image ranking in the area of Search Engine Optimization (SEO) based on the quality of an image. The quality improvement for image refers to the "Peeper and salt" noise reduction from the image by Cellular Automata (CA) based image processing techniques.
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