Precision Fast Bilateral Filtering

Abstract

Bilateral image filter has recently become very popular because of its simplicity and feature-preserving ability. We introduce a novel approach to fast bilateral filtering, in which includes linear computational complexity and user-specified precision. The approach is based on combining a dimension elevation trick with a Fast Gauss Transform. We also demonstrate the results of denoising and HDR tone mapping applications.