Enhanced images watermarking based on amplitude modulation

Amornraksa, Thumrongrat; Janthawongwilai, K.

doi:10.1016/j.imavis.2005.09.018

Cited by 69 publications

(109 citation statements)

References 8 publications

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“…10. Although the PSNR of our proposed method is comparable with [8], the achieved NC is better than [8] and [10]. Now, we also compare the performances of these three methods when the Gaussian weighting mask (see (4)) for averaging the luminance of an image is used and 'Lena' is considered as the host image.…”

Section: Resultsmentioning

confidence: 99%

“…In this paper, we use eleven different color images as the publications [8] and [10]. The procedures of these two methods and our proposed algorithm are explained briefly in Table 1.…”

Section: Resultsmentioning

confidence: 99%

“…At first, to compare performance with [8] and [10] under the same circumstances, we use the well-known Table 2. The extracted watermarks are also shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

“…(6) To overcome this drawback, a new method was proposed in [10]. It works by balancing the watermark bits around the embedding pixels in the watermark preparation process.…”

Section: Watermarking Based On Amplitude Modulationmentioning

confidence: 99%

“…Later Puertpan et.al enhanced the robustness of this method by using the Gaussian mask to localize the luminance values [9]. In [10], in addition to using the Guassian mask, all watermark bits are XORed with a psedu-random bit stream and a pixel value that most differs from the watermarked pixel is excluded in the prediction process, in order to improve the watermarking performance. More details on this are given in Section 2.…”

Section: Introductionmentioning

confidence: 99%

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Using Curvelet transform for watermarking based on amplitude modulation

Lari

Ghofrani

McLernon

2013

SIViP

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In this paper we propose a precise and robust watermarking scheme based on the technique called amplitude modulation. A watermark is embedded in a color image by modifying the pixel values in the blue channel. At the receiver, the watermark bits are retrieved using a prediction system, by a linear combination of nearby pixel values around the embedded pixels, and without having the original image. Because amplitude modulation is a spatial-domain watermarking method, it may not be robust enough, i.e. incapable of exact watermark retrieval. In order to enhance the bit retrieval, we apply a Gaussian mask to equalize the luminance intensity; we employ the pixel value replacing technique to enhance the prediction performance; and we use two additional bits as a geometrical reference. In addition, we demonstrate that choosing an improper location (like singularities) for watermarking will lead the prediction system to malfunction. In order to increase the robustness, we propose using the Curvelet transform to detect singularities such as lines and curves and prevent the system from using these locations in an image for embedding the watermark bits. The experimental results indicate that our proposed method has a better performance in comparison with two other similar approaches and in addition it is robust against various geometrical and non-geometrical attacks as well as having a good imperceptibility.

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Section: Resultsmentioning

confidence: 99%

“…In this paper, we use eleven different color images as the publications [8] and [10]. The procedures of these two methods and our proposed algorithm are explained briefly in Table 1.…”

Section: Resultsmentioning

confidence: 99%

“…At first, to compare performance with [8] and [10] under the same circumstances, we use the well-known Table 2. The extracted watermarks are also shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

“…(6) To overcome this drawback, a new method was proposed in [10]. It works by balancing the watermark bits around the embedding pixels in the watermark preparation process.…”

Section: Watermarking Based On Amplitude Modulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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