Abstract
In this paper, a non-blind color image watermarking scheme is proposed based on discrete cosine transform and YCbCr color space. The host image is converted from RGB space into YCbCr space and the Y component image is employed for embedding a binary watermark image. The strength of the watermark is controlled by a robustness factor to obtain an acceptable trade-off between robustness and imperceptibility. The performance of the proposed scheme is evaluated in term of Peak signal to noise ratio (PSNR) and normalized correlation (NC). The experimental results show that the proposed scheme is robust under various attacks like JPEG compression, filtering and noise addition.
Highlights
With the quick advancement of computer and network technology, computerized information can be transmitted through internet quick and simple
The digital image watermarking is often accomplished in gray scale but color image watermarking can be employed to improve the performance of the watermarking scheme
The proposed scheme employs the properties of discrete cosine transform (DCT) and YCbCr space to increase the robustness and imperceptibility of the watermarking algorithm by using the most significant coefficients of the whole Y component image
Summary
With the quick advancement of computer and network technology, computerized information can be transmitted through internet quick and simple. Since the digitized information could be unlawfully copied and effortlessly altered, the enforcement of multimedia copyright protection became an essential issue. Digital watermarking is the process of embedding information (watermark) into a multimedia content (audio, image or video) in some way the embedded information can be identified or extracted later for the purpose of copy right protection, authentication, ownership verification, broadcast monitoring, etc. A good watermarking scheme should be robust against a variety of possible attacks like scaling, compression, cropping, adding noise, filtering and others without distortion the host image quality (imperceptibility). The transform domain techniques are more effective than the spatial domain for achieving the robustness and imperceptibility, as clarified by various surveys [3,4,5].
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