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- Title
Accelerate bilateral filter using Hermite polynomials.
- Authors
Longquan Dai; Mengke Yuan; Xiaopeng Zhang
- Abstract
The bilateral filter (BF) as an edge-preserving lowpass filter is a valuable tool in various image processing tasks, including noise reduction and dynamic range compression. However, its computational cost is too high to apply in the real-time processing tasks as the range kernel, which acts on the pixel intensities, making the averaging process nonlinear and computationally intensive, particularly when the spatial filter is large. Using the well-known Hermite polynomials, a BF accelerating method is proposed, which reduces the computational complexity from O(r2n) to O(n), where r denotes the filter size of a BF and n is the total number of pixels in an image.
- Subjects
LOWPASS electric filters; IMAGE processing; SPATIAL distribution (Quantum optics); IMAGE quality in imaging systems; POLYNOMIALS
- Publication
Electronics Letters (Wiley-Blackwell), 2014, Vol 50, Issue 20, p1432
- ISSN
0013-5194
- Publication type
Article
- DOI
10.1049/el.2014.2758