Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Unfavorable lighting conditions pose significant challenges to imaging devices. Use of multiple sensor fusion and false colorization has been demonstrated by many recent works. Hover, semi-automatic nature of these approaches make them less attractive. To address these shortcomings,  present a color night vision system, named FACE (Fully Automated Context Enhancement). It uses enhanced multi-spectral video fusion and fully automated color transform based color morphing to process multiple video streams captured by infrared (IR) and low light visible (VIS) sensors. At first,  introduce glare-suppressed inter-channel fusion in RGB color space to negate the ghost-like effect produced by IR channel.  then introduce color value imputation with deep KNN framework for joint classification of grayscale and color imagery. A suitable color transform is then sought to give a day-like color appearance to night vision imagery. Objective quality evaluation indicates the effectiveness of our framework for context enhancement at nighttime.
['Anwaar Ulhaq', 'Xiaoxia Yin', 'Jing He', 'Yanchun Zhang']
I am writing a research paper on a idea FACE: Fully Automated Context Enhancement for night-time video sequences ☆ ☆☆
[{"from": "human", "value": "I am writing a research paper on a idea FACE: Fully Automated Context Enhancement for night-time video sequences \u2606 \u2606\u2606"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Unfavorable lighting conditions pose significant challenges to imaging devices. Use of multiple sensor fusion and false colorization has been demonstrated by many recent works. Hover, semi-automatic nature of these approaches make them less attractive. To address these shortcomings,  present a color night vision system, named FACE (Fully Automated Context Enhancement). It uses enhanced multi-spectral video fusion and fully automated color transform based color morphing to process multiple video streams captured by infrared (IR) and low light visible (VIS) sensors. At first,  introduce glare-suppressed inter-channel fusion in RGB color space to negate the ghost-like effect produced by IR channel.  then introduce color value imputation with deep KNN framework for joint classification of grayscale and color imagery. A suitable color transform is then sought to give a day-like color appearance to night vision imagery. Objective quality evaluation indicates the effectiveness of our framework for context enhancement at nighttime."}]