A Stochastic Approach to Content Adaptive Digital Image Watermarking
IH '99 Proceedings of the Third International Workshop on Information Hiding
A computational model for watermark robustness
IH'06 Proceedings of the 8th international conference on Information hiding
Watermarking capacity analysis based on neural network
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
The edge process model and its application to information-hiding capacity analysis
IEEE Transactions on Signal Processing
A framework for evaluating the data-hiding capacity of image sources
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms
IEEE Transactions on Image Processing
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One of the most important parameters in evaluating a watermarking algorithm is its capacity. Of course capacity has a paradoxical relation with two other important parameters: image quality and robustness. Generally, watermarking capacity is expressed by bit per pixel (bpp) unit measure. This measure does not show what the side effects would be on image quality and capacity. Therefore, we proposed a two dimensional measure named capacity curvewhich shows the effects of capacity on visual quality. In this measure we can find the amount of degradation by a numerical value for each modification in pixels. Our experimental results are compatible with previous works in this field.