Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose skin tone enhancement and background change algorithms for mobile phones. It is important to obtain natural results in skin tone enhancement and background change since only parts of an image, skin tone and background, are changed artificially. Moreover, since our target is a mobile application, the algorithm should be fast to satisfy mobile users and require small memory space to meet limited mobile conditions. From the experiments,  verified that the proposed algorithm generates the result images of people whose skin tone is enhanced to the preferred skin color and the original background is changed to other ones such that the foreground and the background are harmonized ll. Furthermore, the proposed algorithm works fast, so it takes about 0.15 seconds with 360 × 480 images in our test conditions .
['Jong-Ho Lee', 'Jin Heo', 'Yo-Sung Ho']
I am writing a research paper on a idea Skin tone enhancement and background change for mobile phones
[{"from": "human", "value": "I am writing a research paper on a idea Skin tone enhancement and background change for mobile phones"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose skin tone enhancement and background change algorithms for mobile phones. It is important to obtain natural results in skin tone enhancement and background change since only parts of an image, skin tone and background, are changed artificially. Moreover, since our target is a mobile application, the algorithm should be fast to satisfy mobile users and require small memory space to meet limited mobile conditions. From the experiments,  verified that the proposed algorithm generates the result images of people whose skin tone is enhanced to the preferred skin color and the original background is changed to other ones such that the foreground and the background are harmonized ll. Furthermore, the proposed algorithm works fast, so it takes about 0.15 seconds with 360 \u00d7 480 images in our test conditions ."}]