Image simplification by frequency-selective means filtering

In this paper, we present an algorithm to remove high-frequent texture and detail from images without destroying high-level image structure or introducing artificial edges. While based on the same general framework, this “image simplification” filter differs from noise filtering methods such as bilateral filtering by its frequency-selectivity and edge awareness. Applications include artistic filtering of images (edge-preserving smoothing), image reconstruction and preprocessing for low-bitrate image compression.