Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an efficient motion-adaptive deinterlacing method based on edge-based liner average (ELA) and temporal adaptive interpolation. The pixel in the missing field is classified into static and moving area. If a pixel is located in the static area, the information in the adjacent field with the same parity is used. If a pixel is located in the moving area, ELA is deployed intra field. Experimental results show that the performance of the proposed method is superior to the line-averaging and ELA method both objectively and subjectively. Moreover, our algorithm is tailored for VLIW DSP architecture and thus requires very low computational complexity.
['Cheng Peng', 'Zhengting He', 'Yvonne Cager']
I am writing a research paper on a idea An efficient motion-adaption de-interlacing technique on VLIW DSP architecture
[{"from": "human", "value": "I am writing a research paper on a idea An efficient motion-adaption de-interlacing technique on VLIW DSP architecture"}, {"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 efficient motion-adaptive deinterlacing method based on edge-based liner average (ELA) and temporal adaptive interpolation. The pixel in the missing field is classified into static and moving area. If a pixel is located in the static area, the information in the adjacent field with the same parity is used. If a pixel is located in the moving area, ELA is deployed intra field. Experimental results show that the performance of the proposed method is superior to the line-averaging and ELA method both objectively and subjectively. Moreover, our algorithm is tailored for VLIW DSP architecture and thus requires very low computational complexity."}]