Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: With the prevalence of smart phones and pocket cameras, photo refocusing has become a basic editing and processing method for its por in interesting object emphasis and photo beautification. Hover, existing image refocusing methods can hardly be applied on mobile devices due to its high computational cost or the dependence on expensive hardware like light field camera. ,  present a simple but effective method to perform image refocusing automatically and rapidly. The key of our method lies in the utilization of the characteristics of human visual systems. By leveraging current saliency detection methods,  locate the region of interest for a given photo rapidly. Then  calculate its depth map according to the frames captured before shooting. The original image is softly segmented into layers and blurred with different confusion sizes according to the depth map. At last, the blurred layers are softly combined into a refocused photo. Experimental results demonstrate that our method performs outstandingly both in automatic photo refocusing and computational complexity.
['Na Liu', 'Ran Ju', 'Tongwei Ren', 'Gangshan Wu']
I am writing a research paper on a idea A Saliency-Guided Method for Automatic Photo Refocusing
[{"from": "human", "value": "I am writing a research paper on a idea A Saliency-Guided Method for Automatic Photo Refocusing"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: With the prevalence of smart phones and pocket cameras, photo refocusing has become a basic editing and processing method for its por in interesting object emphasis and photo beautification. Hover, existing image refocusing methods can hardly be applied on mobile devices due to its high computational cost or the dependence on expensive hardware like light field camera. ,  present a simple but effective method to perform image refocusing automatically and rapidly. The key of our method lies in the utilization of the characteristics of human visual systems. By leveraging current saliency detection methods,  locate the region of interest for a given photo rapidly. Then  calculate its depth map according to the frames captured before shooting. The original image is softly segmented into layers and blurred with different confusion sizes according to the depth map. At last, the blurred layers are softly combined into a refocused photo. Experimental results demonstrate that our method performs outstandingly both in automatic photo refocusing and computational complexity."}]