ABSTRACT
Format and standards converters are needed to ensure every audience gets the most faithful reproduction of the originally produced content, at least to the best approximation available on their display device. A robust solution should be equally capable of rejecting the frequent false positives obtained when attempting to identify still areas in the presence of spatially repetitive moving image elements. The material may also contain artifacts due to previous stages of compression encoding and decoding, so adaptive deinterlacing methods relying on identification of moving versus static areas need to be robust and repeatable. When frame rate upconverting to high frame rates such as 100 Hz or 120 Hz, many more frames need to be interpolated, so there are more chances of possible visible artifacts and interpolation errors. Motion estimation is used in many image processing applications including video compression codecs. One difficulty presented to standards converters is where a source contains mixed cadence.
