Fuzzy Based Estimation of Enhanced Colour Illumination for Digital Images
P. Saravana Kumar1, T. V. P. Sundararajan2, J. Poornimasre3
1P. Saravanakumar, Assistant Professor Senior Grade, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
2T. V. P. Sundararajan, Professor, Department of ECE, Sri Shakti Institute of Engineering & Technology, Coimbatore (Tamil Nadu), India.
3J. Poornimasre, Assistant Professor Senior Grade, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
Manuscript received on 14 December 2018 | Revised Manuscript received on 25 December 2018 | Manuscript Published on 09 January 2019 | PP: 358-361 | Volume-7 Issue-4S November 2018 | Retrieval Number: E1992017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Communication between living beings is more essential with the fundamentals of digital forgeries to make an effort to develop a step by step procedure for image detection in a powerful way with the use of various media elementary pictorial representation of any information can be easily manipulated using editing software. Communication between users is carried by image transmission, in which major issue is security that is without any alteration. Image forgery detection is technique for detecting any unauthorized process in image. In compared with existing, use fuzzy classifier to accurate results for comparison instead of SVM classifier. Weintroduced detection method against image splicing, that is joining of two different image fragments. This detection is brought by using conflicting of illuminating colours in whole image. Using illuminate estimation, extracting features such as shape and colour of images and finally classified in Fuzzy logic classifier. Performance of forgery detection is evolved as accuracy using testing process. From our experimental results, conclude that high accuracy provided by extract combining shape and colour features of image, which compared with other.
Keywords: Fuzzy Classifier; Feature Extraction; Segmentation; Illuminant Map; SVM Classifier; Image Forgery.
Scope of the Article: Image Security