2007 IEEE International Conference on Image Processing 2007
DOI: 10.1109/icip.2007.4380043
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Adaptive Bilateral Filter for Sharpness Enhancement and Noise Removal

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Cited by 68 publications
(94 citation statements)
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“…Several leading adaptive sharpening approaches (Adaptive UM [11], Constrained UM [2] and ABF [18]) are also applied as comparison.…”
Section: Resultsmentioning
confidence: 99%
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“…Several leading adaptive sharpening approaches (Adaptive UM [11], Constrained UM [2] and ABF [18]) are also applied as comparison.…”
Section: Resultsmentioning
confidence: 99%
“…However, linear unsharp masking is very sensitive to noise and can easily produce overshoot artifacts [11]. Several adaptive versions of unsharp masking have been proposed to alleviate these problems [11,12,6,18,2]. In [11] the scaling factor that controls sharpening strength is determined according to local image characteristics measured by "image activity".…”
Section: Introductionmentioning
confidence: 99%
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“…This ensures that averaging is performed along the boundary area and is significantly decreased in the gradient direction. For this reason, the bilateral filter can suppress the noise while at the same time preserving contour areas [18]. Consequently, the bilateral filter performs as a standard domain filter, and eliminates the weakly correlated differences between pixel values caused by noise.…”
Section: Adaptive Bilateral Filtermentioning
confidence: 99%
“…The bilateral filter is the one of the most suitable solutions to cope this problem [16]. Bilateral filtering is defined as a non-linear filtering technique which utilizes both spatial and amplitudinal distances to better preserve the boundary information [15], [17], [18].…”
Section: Adaptive Bilateral Filtermentioning
confidence: 99%