A NONLINEAR LOOP FILTER FOR QUANTIZATION NOISE REMOVAL IN HYBRID VIDEO COMPRESSION

摘要

We propose a high-performance, nonlinear, loop filter that reduces quantization noise over video frames composed of locally uniform regions (smooth, high frequency, texture, etc.) separated by singularities. Unlike earlier work, the designed filter is not limited to block based transform coders and provides a robust solution for intra as well as differentially encoded frames. Our formulation based on sparse decompositions allows us to take advantage of the spatial dependencies inherent in video frames while incorporating temporal dependencies through the information provided by previously decoded frames. The proposed filter results in 10% improvements in rate (at typical distortions) in combination with significant visual quality improvements, especially around singularities.