Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a probabilistic method for fusion of images produced by multiple sensors. The approach is based on an image formation model in which the sensor images are noisy, locally linear functions of an underlying, true scene. A Bayesian framework then provides for maximum likelihood or maximum a posteriori estimates of the true scene from the sensor images. Maximum likelihood estimates of the parameters of the image formation model involve (local) second order image statistics, and thus are related to local principal component analysis.  demonstrate the efficacy of the method on images from visible-band and infrared sensors.
['Ravi K. Sharma', 'Todd K. Leen', 'Misha Pavel']
I am writing a research paper on a idea Probabilistic Image Sensor Fusion
[{"from": "human", "value": "I am writing a research paper on a idea Probabilistic Image Sensor Fusion"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a probabilistic method for fusion of images produced by multiple sensors. The approach is based on an image formation model in which the sensor images are noisy, locally linear functions of an underlying, true scene. A Bayesian framework then provides for maximum likelihood or maximum a posteriori estimates of the true scene from the sensor images. Maximum likelihood estimates of the parameters of the image formation model involve (local) second order image statistics, and thus are related to local principal component analysis.  demonstrate the efficacy of the method on images from visible-band and infrared sensors."}]