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Analysis of Image Inconsistency Based on Discrete Cosine Transform (DCT)

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Information and Communication Technology for Intelligent Systems

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 106))

Abstract

The popularity of Digital Image has widely increased in society. Nowadays, by the easy availability of image editing software people can manipulate the image for malicious intent. Our proposed method is to detect inconsistency in the exact area of an image. The paper involves different steps, i.e., preprocessing, feature extraction, and matching processes. In feature extraction, we apply Discrete Cosine Transform (DCT). Evaluate our system by calculating True Positive Rate (TPR), False Positive Rate (FPR), and Area Under the Curve (AUC) of 0.3372, 0.5278, and 0.949, respectively. The results show more efficiency.

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Author information

Authors and Affiliations

  1. Department of CS & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, 431001, Maharashtra, India

    Vivek Mahale & Mouad M. H. Ali

  2. Vison and Intelligent System Lab, Department of CS & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India

    Pravin L. Yannawar

  3. Institute of Management Studies and Information Technology, Aurangabad, Maharashtra, India

    Ashok Gaikwad

Authors
  1. Vivek Mahale
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  2. Mouad M. H. Ali
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  3. Pravin L. Yannawar
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  4. Ashok Gaikwad
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Corresponding author

Correspondence to Vivek Mahale .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India

    Suresh Chandra Satapathy

  2. Sabar Institute of Technology, Gujarat Technological University, Ahmedabad, Gujarat, India

    Amit Joshi

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Mahale, V., Ali, M.M.H., Yannawar, P.L., Gaikwad, A. (2019). Analysis of Image Inconsistency Based on Discrete Cosine Transform (DCT). In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems . Smart Innovation, Systems and Technologies, vol 106. Springer, Singapore. https://doi.org/10.1007/978-981-13-1742-2_56

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