Efficient, high-quality Bayer demosaic filtering on GPUs

This paper describes a series of optimizations for implementing the high-quality Malvar-He-Cutler Bayer demosaicing filter on a GPU in OpenGL. Applying this filter is the first step in most video processing pipelines, but is generally considered too slow for real-time on a CPU. The optimized implementation contains 66% fewer ALU operations than a direct GPU implementation and can filter 40 simultaneous HD 1080p video streams at 30 fps (2728 Mpix/s) on current hardware. It is 2-3 times faster than a straightforward GPU implementation of the same algorithm on many GPUs. Most of the optimizations are applicable to other kinds of processors that support SIMD instructions, like CPUs and DSPs.

Authors: 
Morgan McGuire (Williams College)
Publication Date: 
Tuesday, September 1, 2009