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The possibilities are truly endless as image application development starts to take off.
In this paper we investigate the possibility of employing this approach for psoriasis image application.
In this paper, we investigate the possibility of employing this approach for pre-processing ultrasound image application.
In almost any image application, therefore, keeping a watermarked image perceptually similar to the original image becomes an important criterion.
Considering this, we also define a set of fundamental properties in following sections using our model to further strengthen the watermarking theory in the image application context.
In an image application, invertibility is expected to restore any watermarked images to their original versions, where no embedding distortion is allowed in the original image.
Similar(47)
Visual attention models have been successfully applied in many domains, including multimedia delivery, visual retargeting, quality assessment of images and videos, medical imaging, and 3D image applications [1].
Due to the high application variant properties of watermarking, we have focused on the image applications.
The perceptual similarity (or imperceptibility) is one of the most important properties for the image applications.
In practice, different image applications may require different levels of security.
In image applications, embedding capacity is usually expressed as a ratio, bit-per-pixel (bpp).
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