Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Over the past years, digital image forensics has become a hot topic in multimedia security field. Among various image forensics technologies, image resampling detection is a standard detection tool. Furthermore, examining parameters of geometric transformations such as scaling factors or rotation angles is very useful for exploring the overall manipulation history of an image. ,  propose a learning-to-rank approach for automatically estimating the scaling factor based on the normalized energy density features and moment features. Specifically, the difference of these features of the ordered image pairs are used for training, then the scaling factor of a new input image can be evaluated from its corresponding rank values. Our proposed method can not only effectively eliminate the long-known ambiguity beten upscaling and downscaling in the analysis of resampling but also accurately estimate the factors of downscaling and ak scaling, i.e., the scaling factors near 1. Empirical experiments on extensive images with different scaling factors demonstrate the superiority of our proposed method when compared with the state-of-the-art methods. Highlights proposes a learning-to-rank framework of image scaling factor estimation.Difference of two features of the ordered image pairs are used to train rank values.Scaling factor of a revised image can be evaluated according to the learned rank value.
['Nan Zhu', 'Cheng Deng', 'Xinbo Gao']
I am writing a research paper on a idea A learning-to-rank approach for image scaling factor estimation
[{"from": "human", "value": "I am writing a research paper on a idea A learning-to-rank approach for image scaling factor estimation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Over the past years, digital image forensics has become a hot topic in multimedia security field. Among various image forensics technologies, image resampling detection is a standard detection tool. Furthermore, examining parameters of geometric transformations such as scaling factors or rotation angles is very useful for exploring the overall manipulation history of an image. ,  propose a learning-to-rank approach for automatically estimating the scaling factor based on the normalized energy density features and moment features. Specifically, the difference of these features of the ordered image pairs are used for training, then the scaling factor of a new input image can be evaluated from its corresponding rank values. Our proposed method can not only effectively eliminate the long-known ambiguity beten upscaling and downscaling in the analysis of resampling but also accurately estimate the factors of downscaling and ak scaling, i.e., the scaling factors near 1. Empirical experiments on extensive images with different scaling factors demonstrate the superiority of our proposed method when compared with the state-of-the-art methods. Highlights proposes a learning-to-rank framework of image scaling factor estimation.Difference of two features of the ordered image pairs are used to train rank values.Scaling factor of a revised image can be evaluated according to the learned rank value."}]