2018
DOI: 10.1007/s11042-018-6361-2
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Robust hybrid image watermarking scheme based on KAZE features and IWT-SVD

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Cited by 16 publications
(14 citation statements)
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“…Robust watermarking methods designed for copyright protection should resist a wide variety of common attacks, especially malicious attacks, including filtering, noise, lossy compression, geometric attacks, etc. [ 18 , 19 ]. In copyright protection applications, there is no need to share the side information (secret key, scale-invariant feature transformation (SIFT) descriptor, etc.)…”
Section: Introductionmentioning
confidence: 99%
“…Robust watermarking methods designed for copyright protection should resist a wide variety of common attacks, especially malicious attacks, including filtering, noise, lossy compression, geometric attacks, etc. [ 18 , 19 ]. In copyright protection applications, there is no need to share the side information (secret key, scale-invariant feature transformation (SIFT) descriptor, etc.)…”
Section: Introductionmentioning
confidence: 99%
“…Because a video can be regarded as a temporally continuous collection of still images, most image watermarking schemes [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29] are also applicable for video watermarking. Existing image watermarking algorithms offer some ideas for resisting geometric attacks, and video watermarking can use these as references.…”
Section: Introductionmentioning
confidence: 99%
“…Existing image watermarking algorithms offer some ideas for resisting geometric attacks, and video watermarking can use these as references. In addition, feature point-based watermarking [13][14][15][16][17][18][19][20][21] is a common type of image watermarking against geometric attacks, but it suffers from the watermark location inaccuracy. This paper is aimed at extending feature point-based image watermarking to video watermarking and addressing its existing issue, in order to improve its resistance against geometric attacks.…”
Section: Introductionmentioning
confidence: 99%
“…As a result, the watermarking technology for copyright protection of color images has gradually developed. Depending on the difference of the embedding locations, image watermarking can be divided into two categories: watermarking in the spatial domain [13][14][15] and watermarking in the transform domain [16][17][18][19][20][21][22][23][24][25][26][27][28]. Chou and Wu [13] embedded the color watermark image into the color host images uniformly by modifying the quantization indices of color pixels.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, it cannot be used effectively in real-time applications. Liu et al [21] proposed a robust hybrid color image watermarking algorithm by fusing a local KAZE feature-based watermarking scheme with a conventional watermarking scheme based on integer wavelet transform (IWT). Its watermark capacity is limited.…”
Section: Introductionmentioning
confidence: 99%