A video de-interlacing with precise interfield information by hybrid scene change detection
Chung‐Chi Lin, Chishyan Liaw · 2013
This paper presents a motion adaptive de-interlacing technique with precise interfield information by global and local scene changes detection. Scene changes happen fairly often in film broadcasting and they tend to destabilize the quality of performance while de-interlacing technique is utilized. The proposed method utilizes the low computational complexity of de-interlacing technique to improve video sequences on the progressive devices. Our hybrid scene change detection method for de-interlacing uses the precise interfield information as interpolation. The simulation results indicate that increasing the precision and stability of the interfield information promotes quality of video sequence. The results also show that the proposed method presents a higher quality of video sequences than other interpolation methods.