Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In practical computer vision system, there are situations where displacement of an image is accompanied by a defocus blur. Since depth can be estimated from the degree of blur, in this paper  propose a method to get the blur parameter and simultaneously affine transformation parameters. Firstly  introduce a method to get the motion parameters from the original image and the affine transformed and simultaneously blurred image (second image). Then  use these parameters to construct affine transformed image. The last step is to get the blur parameters from the constructed image and the second image. The effectiveness of the proposed method is demonstrated by experimental results.
['Yani Zhang', 'Changyun Wen', 'Ying Zhang']
I am writing a research paper on a idea Simultaneously recovering affine motion and defocus blur using moments
[{"from": "human", "value": "I am writing a research paper on a idea Simultaneously recovering affine motion and defocus blur using moments"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In practical computer vision system, there are situations where displacement of an image is accompanied by a defocus blur. Since depth can be estimated from the degree of blur, in this paper  propose a method to get the blur parameter and simultaneously affine transformation parameters. Firstly  introduce a method to get the motion parameters from the original image and the affine transformed and simultaneously blurred image (second image). Then  use these parameters to construct affine transformed image. The last step is to get the blur parameters from the constructed image and the second image. The effectiveness of the proposed method is demonstrated by experimental results."}]