Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Saliency measures are a popular way to predict visual attention. Hover, saliency is normally tested on sets of single resolution images that are unlike what the human vision system sees.  propose a new saliency measure based on convolving images with 2D gamma kernels which function as a comparison beten a center and a surrounding neighborhood. The two parameters in the gamma kernel provide an ideal way to change the size of both the center and the surrounding neighborhood, which makes finding saliency at different scales simple and fast.  test the new saliency measure on both the CAT2000 database and the Toronto database and compare the results with other simple saliency methods. In addition,  test the methods on a foveated version of the Toronto database to test whether these methods perform ll in a fixation system similar to the human vision system. Gamma saliency is shown to both perform better and compute faster than the competing methods in both the standard databases and the foveated version.
['Ryan Burt', 'Eder Santana', 'Jose C. Principe', 'Nina Thigpen', 'Andreas Keil']
I am writing a research paper on a idea Predicting visual attention using gamma kernels
[{"from": "human", "value": "I am writing a research paper on a idea Predicting visual attention using gamma kernels"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Saliency measures are a popular way to predict visual attention. Hover, saliency is normally tested on sets of single resolution images that are unlike what the human vision system sees.  propose a new saliency measure based on convolving images with 2D gamma kernels which function as a comparison beten a center and a surrounding neighborhood. The two parameters in the gamma kernel provide an ideal way to change the size of both the center and the surrounding neighborhood, which makes finding saliency at different scales simple and fast.  test the new saliency measure on both the CAT2000 database and the Toronto database and compare the results with other simple saliency methods. In addition,  test the methods on a foveated version of the Toronto database to test whether these methods perform ll in a fixation system similar to the human vision system. Gamma saliency is shown to both perform better and compute faster than the competing methods in both the standard databases and the foveated version."}]