An Approach to Contrast Enhancement Using Local Features Method
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 5
Abstract
Digital Image forensic analysis is utilized to identify the integrity and authenticity of the images. This paper provides the technique for the detection of contrast enhancement through Principle component Analysis by establishing co-occurrence matrix for the feature deduction. PCA is to standardize the data in image. Real-world data sets usually exhibit relationships among their variables. These relationships are often linear, or at least approximately so, making them amenable to common analysis techniques. One such technique is principal component analysis ("PCA"), which rotates the original data to new coordinates, making the data as "flat" as possible. The features extracted are passed through the PCA data mining for better classification.
Authors and Affiliations
M. J. Preethi, Mrs. R. Mekala
Keywords
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