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Improved Blurred Image Splicing Localization with KNN Matting

  • Abhijith P. S. 
  • Philomina Simon
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 771)

Abstract

Image splicing is a forgery technique where some regions are cropped or pasted from the same or different images. Splicing localization becomes challenging when post-processing techniques are used to remove the anomalies of splicing traces. In this chapter, an improved method is proposed for blurred image splicing localization based on K-nearest neighbor (KNN) matting. The proposed method minimizes computation time without compromising the quality of the result. Quantitative and qualitative results analysis show the proposed method obtains better splicing than existing systems.

Keywords

Image splicing Forgery Out-of-focus blur Motion blur Deblurring K-nearest neighbor matting 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity of Kerala, KariavattomThiruvananthapuramIndia

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