An Image Watermarking Algorithm Resistant to Geometric Distortion Matched Based on SIFT Feature Points

CHEN Qing, KE Ting-ting

Packaging Engineering ›› 2016 ›› Issue (23) : 146-150.

Packaging Engineering ›› 2016 ›› Issue (23) : 146-150.

An Image Watermarking Algorithm Resistant to Geometric Distortion Matched Based on SIFT Feature Points

  • CHEN Qing, KE Ting-ting
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Abstract

The work aims to effectively resist geometric attack, so as to achieve the synchronization between embedding and detection of watermark image. The watermark was embedded into the singular values after wavelet decomposition. Then, SIFT (scale invariant feature transform) feature points characterized by invariance of rotation, scaling and translation were used to match host image and attacked image. The geometric distortion parameters of the attacked image were estimated and the images likely to be distorted were subject to geometric correction. The embedded watermark of the images subjected to geometric distortion, general image processing attacks or JPEG compression could still be reliably detected and extracted. Theoretical analysis and experimental results show that the algorithm has high precision and good invisibility and robustness.

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CHEN Qing, KE Ting-ting. An Image Watermarking Algorithm Resistant to Geometric Distortion Matched Based on SIFT Feature Points[J]. Packaging Engineering. 2016(23): 146-150

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