2 research outputs found
Robustness and Imperceptibility Enhancement in Watermarked Images by Color Transformation
One of the effective methods for the preservation of copyright ownership of
digital media is watermarking. Different watermarking techniques try to set a
tradeoff between robustness and transparency of the process. In this research
work, we have used color space conversion and frequency transform to achieve
high robustness and transparency. Due to the distribution of image information
in the RGB domain, we use the YUV color space, which concentrates the visual
information in the Y channel. Embedding of the watermark is performed in the
DCT coefficients of the specific wavelet subbands. Experimental results show
high transparency and robustness of the proposed method.Comment: 5 pages 3 figure
Adaptive Control of Embedding Strength in Image Watermarking using Neural Networks
Digital image watermarking has been widely used in different applications
such as copyright protection of digital media, such as audio, image, and video
files. Two opposing criteria of robustness and transparency are the goals of
watermarking methods. In this paper, we propose a framework for determining the
appropriate embedding strength factor. The framework can use most DWT and DCT
based blind watermarking approaches. We use Mask R-CNN on the COCO dataset to
find a good strength factor for each sub-block. Experiments show that this
method is robust against different attacks and has good transparency.Comment: 4 pages 5 figure