Blind Image Forgery Detection by using DCT and SURF Based Algorithm
Kavita Rathi1, Parvinder Singh2
1Kavita Rathi*, Department of Computer Science & Engineering, Deenbandhu Chhotu Ram University of Science and Technology Murthal, Sonipat, India.
2Parvinder Singh, Department of Computer Science & Engineering, Deenbandhu Chhotu Ram University of Science and Technology Murthal, Sonipat, India.
Manuscript received on January 01, 2020. | Revised Manuscript received on January 20, 2020. | Manuscript published on January 30, 2020. | PP: 2984-2987 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6451018520/2020©BEIESP | DOI: 10.35940/ijrte.E6451.018520
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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: A remarkable array of visual images surrounds us. Image forgery by using digital technology has eroded confidence in the integrity of imagery. Image forensics is an aid to re-establish the trust and originality of imagery. It is important to identify the type of forgery for application of relevant image forensic technique for optimal output. Based on the availability of the original image, image forensic algorithms are classified in the blind and non-blind algorithms. But the availability of original imagery is not always necessary for all the cases of image tampering. The blind forgery detection is particularly difficult. Key point scheme is introduced instead of block based Discrete Cosine Transformation (DCT) and after the validation, the state of the art blind image forgery techniques, i.e., DCT and proposed Speeded-Up Robust-Features (SURF) algorithms are evaluated. Average Accuracy, True Positive Rate (TPR), and True Negative Rate (TNR) are used as parameters for performance evaluation on various images. Experimental results concluded the efficiency of SURF scheme in dealing with region rotation manipulations. The paper concluded with the efficiency of the key-point based scheme.
Keywords: Blind Image Forgery, DCT Quantization, Image Forensics, Key-point, SURF.
Scope of the Article: Algorithm Engineering.