基于QDCT马尔科夫方法的彩色图像拼接检测

doi:10.3969/j.issn.0255-8297.2017.06.009

Abstract

Abstract:

We propose a splicing detection scheme based on quaternion discrete cosine transform (QDCT). The scheme uses correlation among three channels of a color image to reduce loss of the image's inherent color information. QDCT is first applied to the images, and features are extracted with the proposed scheme in the QDCT domain. SVM is used to detect image splicing. Using the image bases CASIA1 and CASIA2, accuracy of the proposed scheme reaches 98.75% and 96.78% respectively, which is better than most of existing methods.

Key words: color image, Markov method, quaternion discrete cosine transform (QDCT), splicing detection

CLC Number:

TN915.08

WANG Jin-wei, LIU Ren-feng. Splicing Detection for Color Images Based on QDCT Markov method[J]. Journal of Applied Sciences, 2017, 35(6): 754-762.

References

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Splicing Detection for Color Images Based on QDCT Markov method

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