Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A novel framework providing invariance to a class of nonlinear valumetric distortions, such as gamma correction, for QIM-based watermarking techniques [1] is presented. Valumetric distortions are quite common in image and video processings and the sensitivity to valumetric scalings represents the main akness of the watermarking techniques belonging to the quantization based class. The proposed method amounts to perform a mapping of the host samples in a proper transformed domain where the watermark is subsequently embedded using a gain invariant QIM-based technique. The effectiveness of this approach has been verified by applying the watermarking system using RDM [2], AQIM [3] and DM in the logarithmic domain [4] as embedding algorithms. Simulation results provide a useful comparison of the performance of these different techniques within the proposed scheme as ll as they confirm the invariance to nonlinear distortions.
['Michele Scagliola', 'Pietro Guccione']
I am writing a research paper on a idea Providing invariance to nonlinear valumetric scaling for quantization basedwatermarking
[{"from": "human", "value": "I am writing a research paper on a idea Providing invariance to nonlinear valumetric scaling for quantization basedwatermarking"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A novel framework providing invariance to a class of nonlinear valumetric distortions, such as gamma correction, for QIM-based watermarking techniques [1] is presented. Valumetric distortions are quite common in image and video processings and the sensitivity to valumetric scalings represents the main akness of the watermarking techniques belonging to the quantization based class. The proposed method amounts to perform a mapping of the host samples in a proper transformed domain where the watermark is subsequently embedded using a gain invariant QIM-based technique. The effectiveness of this approach has been verified by applying the watermarking system using RDM [2], AQIM [3] and DM in the logarithmic domain [4] as embedding algorithms. Simulation results provide a useful comparison of the performance of these different techniques within the proposed scheme as ll as they confirm the invariance to nonlinear distortions."}]