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文件名称:2008 TIP Adaptive Bilateral Filter for Sharpness Enhancement and Noise Removal
文件大小:3.06MB
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更新时间:2016-06-03 13:28:19
Bilateral filter, de-blurring, sharpness enhancement
Abstract—In this paper, we present the adaptive bilateral filter
(ABF) for sharpness enhancement and noise removal. The ABF
sharpens an image by increasing the slope of the edges without producing
overshoot or undershoot. It is an approach to sharpness enhancement
that is fundamentally different from the unsharp mask
(USM). This new approach to slope restoration also differs significantly
from previous slope restoration algorithms in that the ABF
does not involve detection of edges or their orientation, or extraction
of edge profiles. In the ABF, the edge slope is enhanced by
transforming the histogram via a range filter with adaptive offset
and width. The ABF is able to smooth the noise, while enhancing
edges and textures in the image. The parameters of the ABF are
optimized with a training procedure. ABF restored images are significantly
sharper than those restored by the bilateral filter. Compared
with an USM based sharpening method—the optimal unsharp
mask (OUM), ABF restored edges are as sharp as those rendered
by the OUM, but without the halo artifacts that appear in
the OUM restored image. In terms of noise removal, ABF also outperforms
the bilateral filter and the OUM. We demonstrate that
ABF works well for both natural images and text images.
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