Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an effective algorithm to suppress the false colors of demosaicing. Firstly, the Hamilton's edge detector is used to estimate the interpolated directions of missing green samples. Secondly, a direction map is built. A direction different from others within an MtimesN neighborhood is modified by using the proposed direction-inversion rule. The interpolated direction of each missing green sample is finally determined by comparing its ighted bidirectional signal correlation. As compared to the latest algorithm for suppressing false colors, the proposed one not only eliminates more false colors but also produces a higher average peak-signal to noise ratio.
['Chung Yen Su', 'Chi Ming Lin', 'Yi Shien Lin']
I am writing a research paper on a idea Effective False Color Suppression of Demosaicing Using Direction Inversion and Bidirectional Signal Correlation
[{"from": "human", "value": "I am writing a research paper on a idea Effective False Color Suppression of Demosaicing Using Direction Inversion and Bidirectional Signal Correlation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an effective algorithm to suppress the false colors of demosaicing. Firstly, the Hamilton's edge detector is used to estimate the interpolated directions of missing green samples. Secondly, a direction map is built. A direction different from others within an MtimesN neighborhood is modified by using the proposed direction-inversion rule. The interpolated direction of each missing green sample is finally determined by comparing its ighted bidirectional signal correlation. As compared to the latest algorithm for suppressing false colors, the proposed one not only eliminates more false colors but also produces a higher average peak-signal to noise ratio."}]