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FARIP: Framework for Artifact Removal for Image Processing Using JPEG

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Artificial Intelligence and Algorithms in Intelligent Systems (CSOC2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 764))

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Abstract

Irrespective of a significant advancement of the compression technique in digital image processing, still the presence of artifacts or fingerprints do exists, even in a smaller scale. Such presence of artifacts is mis-utilized by the miscreants by invoking their attacks where it is quite hard to differentiate tampered image due to normal problems or malicious attack. Therefore, we present a very simple modeling of a system called as FARIP i.e. Framework of Artifact Removal in Image Processing that utilize the quantization process present in JPEG-based compression and results in perfect removal of the traces from a given image. This also acts as a solution towards the image that has been generated by the compression technique performed from JPEG standard. The comparative analysis shows that proposed system offers better signal quality as compared to the existing standards of compression.

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Authors and Affiliations

  1. Visvesvaraya Technological University, Belagavi, Karnataka, India

    T. M. Shashidhar

  2. Department of Electronics and Instrumentation Engineering, RV College of Engineering, Bengaluru, Karnataka, India

    K. B. Ramesh

Authors
  1. T. M. Shashidhar
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  2. K. B. Ramesh
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Corresponding author

Correspondence to T. M. Shashidhar .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

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Shashidhar, T.M., Ramesh, K.B. (2019). FARIP: Framework for Artifact Removal for Image Processing Using JPEG. In: Silhavy, R. (eds) Artificial Intelligence and Algorithms in Intelligent Systems. CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 764. Springer, Cham. https://doi.org/10.1007/978-3-319-91189-2_2

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