Video De-interlacing: From Spatial to Adaptive Based Motion Detection

Abstract

While interlacing succeeds in reducing the transmission bandwidth, it introduces a number of high-frequency artifacts that can distract the human eye, such as flickers and thin vertical lines. Thus, a lot of de-interlacing algorithms are developed. Subjective and objective assessments of spatial and temporal de-interlacing techniques are given in this paper. Combining the benefits of the spatial and temporal algorithms, a motion detector is used to segment the frame into static and dynamic portions. The dynamic is segmented into slow- and high-motion pixels. Finally, an adaptive de-interlacing algorithm based on the results obtained from the motion detector is proposed and judged.