Jouni Salonen

Edge and motion controlled spatial upconversion

In this paper a new edge and motion adaptive normal definition to higher definition (NDHD) scanning rate conversion algorithm is presented. The algorithm utilizes both edge and motion information. Edge analysis is done separately inter- and intrafield, intended for interpolation in stationary and moving regions, respectively. Motion information is obtained from a frame difference signal which is expanded horizontally if horizontal interfield edge is detected. Steerable FIR-filters are used in the interpolation. >

Motion estimation using combined shape and edge matching

Abstract This paper describes a new motion estimation algorithm that can be used in motion compensated standards conversions. As an example, we propose a scanning rate conversion method for motion compensated field rate upconversion (FRU) from an interlaced 50 Hz to progressive 100 Hz format. Motion estimation is done on the block matching basis using a bit level classification approach (BLC). Motion vector selection is controlled by both the quantized rough shape and the edge information of the image. Non-linear vector postprocessing is used to obtain a consistent and uniform vector field. Block segmentation is used to improve the accuracy of the vector field.