Smoothing identification for digital image forensics

Document Type

Article

Publication Date

4-1-2019

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.

Identifier

85056318198 (Scopus)

Publication Title

Multimedia Tools and Applications

External Full Text Location

https://doi.org/10.1007/s11042-018-6807-6

e-ISSN

15737721

ISSN

13807501

First Page

8225

Last Page

8245

Issue

7

Volume

78

Grant

JCYJ20170818163403748

Fund Ref

National Natural Science Foundation of China

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