Video de-interlacing using asymmetric nonlocal-means filtering

This paper presents a de-interlacing method based on the nonlocal-means (NL-means) approach. In the NL-means, every interpolated pixel is set to a weighted combination of its neighboring pixels. We use an asymmetric NL-means scheme where the pixel in the neighborhood and the pixel being interpolated can be at the center or off-center of their patches. To calculate NL-means weights, we initially find estimates of patches using a spatio-temporal edge-based method which employs a risk function for interpolation. This function reflects the performance of the interpolation direction on the original adjacent pixels. Experimental results verify the superior performance of our method.