Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Copy-move forgery is a specific type of image tampering, where a part of the image is copied and pasted on another part of the same image. ,  propose a new approach for detecting copy-move forgery in digital images, which is considerably more robust to lossy compression, scaling and rotation type of manipulations. Also, to improve the computational complexity in detecting the duplicated image regions,  propose to use the notion of counting bloom filters as an alternative to lexicographic sorting, which is a common component of most of the proposed copy-move forgery detection schemes. Our experimental results show that the proposed features can detect duplicated region in the images very accurately, even when the copied region was undergone severe image manipulations. In addition, it is observed that use of counting bloom filters offers a considerable improvement in time efficiency at the expense of a slight reduction in the robustness.
['Sevinc Bayram', 'Husrev T. Sencar', 'Nasir D. Memon']
I am writing a research paper on a idea An efficient and robust method for detecting copy-move forgery
[{"from": "human", "value": "I am writing a research paper on a idea An efficient and robust method for detecting copy-move forgery"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Copy-move forgery is a specific type of image tampering, where a part of the image is copied and pasted on another part of the same image. ,  propose a new approach for detecting copy-move forgery in digital images, which is considerably more robust to lossy compression, scaling and rotation type of manipulations. Also, to improve the computational complexity in detecting the duplicated image regions,  propose to use the notion of counting bloom filters as an alternative to lexicographic sorting, which is a common component of most of the proposed copy-move forgery detection schemes. Our experimental results show that the proposed features can detect duplicated region in the images very accurately, even when the copied region was undergone severe image manipulations. In addition, it is observed that use of counting bloom filters offers a considerable improvement in time efficiency at the expense of a slight reduction in the robustness."}]