Removal of the Noise & Blurriness using Global & Local Image Enhancement Equalization Techniques

Abstract

The research paper encompasses the extraction of the noise and blurriness factors by deploying the global and local approach methodologies. On receiving an image analyze it. Divide an image on the number of sources (in case of local approach only). Confirm on the base of assumptions for noise test cases whether same noise is added in the whole image, same noise with different values or even different noise of different values then applies the related systematic model including the median filter techniques by parts along with equalization and concatenation of all images. The same system models with little modification (using Weiner & other blur removal Filters) will deploy for the blur test cases both in local and global methodologies. The description about the histogram, PDF & probabilities of a received and resultant image has provided and calculated as well. The most supportive factor of this paper is that it can also designate as to secure an image from the other parties and make it confidential as well from source to destination with the same parameters.