Smoothing identification for digital image forensics

Feng Ding, Yuxi Shi, Guopu Zhu, Yun Qing Shi

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

With the explosive development in digital techniques, ordinary people without professional training are capable to edit digital images with applications. As a common image processing manipulation, smoothing is important in editing digital images for denoising and producing blur effect. Besides, in recent years, people prefer to retouch images with smoothing algorithms to pursue better appearance. Hence it is required to expose such manipulations in digital image forensics. In this paper, a new scheme for detecting the operation of smoothing is proposed. The proposed scheme is based on analyzing the statistical property which can be considered as computation efficiently when compares to machine learning algorithms. Furthermore, a method for texture analysis is also proposed to specify the algorithm that used for smoothing. The second method adopt the features extracted from edge area. The features are fed into support vector machine for classification.

Original languageEnglish (US)
Pages (from-to)8225-8245
Number of pages21
JournalMultimedia Tools and Applications
Volume78
Issue number7
DOIs
StatePublished - Apr 1 2019

All Science Journal Classification (ASJC) codes

  • Software
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications

Keywords

  • Bilateral filter
  • Image forensics
  • Machine learning
  • Smoothing detection
  • Texture analysis

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