16 September 1994 Motion-compensated spatio-temporal interpolation for frame rate up-conversion of interlaced or progressive image sequences
Author Affiliations +
Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994); doi: 10.1117/12.186011
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States
Abstract
This paper proposes a new motion-compensated frame (field) interpolation algorithm for frame (field) rate upconversion, which allows us to interpolate frame (or pairs of fields) between two originally continuous frames (fields) of a digital television sequence by preserving the stationary background. First, for a interlace format, the de-interlacing process was used to reduce the motion range after converting the interlace format to progressive one. A video scene can be temporally categorized by the change detector into changed and unchanged regions. Each changed region is further separated into moving objects, covered and uncovered regions. To interpolate the intermediate field (frame), we have developed direct motion interpolation method and indirect motion interpolation method to fill the moving object areas in the changed regions, and then apply the forward/backward motion extrapolation method to fill the covered/uncovered regions. Finally the hybrid repetition is used to interpolate the unchanged regions. In the experiment, we will show the interpolated fields and frames for two standard image sequences.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Teh-Tzong Chao, Chang-Lin Huang, "Motion-compensated spatio-temporal interpolation for frame rate up-conversion of interlaced or progressive image sequences", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); doi: 10.1117/12.186011; https://doi.org/10.1117/12.186011
PROCEEDINGS
12 PAGES


SHARE
KEYWORDS
Image segmentation

Digital filtering

Motion estimation

Sensors

Nonlinear filtering

Televisions

Detection and tracking algorithms

Back to Top