Spatio-Temporal Weight and Edge Adaptive De-Interlace
Lu Sheng · Chinese Journal of Computers · 2007
The function of de-interlace is to convert interlaced images to progressive ones.In this paper,a de-interlacing algorithm based on spatio-temporal weight and edge direction is presented.It consists of 4 same-parity fields motion estimation,low-angle edge detection,spatio-temporal weight calculation,and adaptive interpolation.Same-parity fields are used to improve the accuracy of motion estimation.It estimates the motion by comparing the sum of absolute block difference(SAD) between 4 fields with the threshold of motion.And it detects low-angle edge using an adaptive searching radius in which the 6°edge can be detected.Experimental results show that the proposed method achieves high image quality and low hardware complexity.