MULTI-RESOLUTION TEMPORAL DEINTERLACING

摘要

System and methodologies are provided herein for de-interlacing a video sequence. Various aspects described herein can utilize a motion adaptive video de-interlacing algorithm based on block-based texture classification and a multi-level decision hierarchy to interpolate missing fields of an interlaced video signal in the spatial and temporal domains. In accordance with various aspects described herein, respective blocks of an interlaced video sequence can be classified by a texture classifier as “textured” or “non-textured.” Based on this classification, one or more motion detection schemes can be utilized to determine whether the respective blocks are static or moving. Missing pixels from one or more blocks can then be estimated using the texture and motion classifications based on values of neighboring lines and/or pixels in the field from which the block was obtained as well as values of corresponding pixel locations in temporally adjacent fields.