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Recursive Approximation of the Bilateral Filter
IEEE Transactions on Image Processing, 2015This paper presents a complete proof that the bilateral filter can be implemented recursively, as long as: 1) the spatial filter can be implemented recursively and 2) the range filter can be decomposed into a recursive product. As a result, an O(ND) solution can be obtained for bilateral filtering, where N is the image size and D is the dimensionality.
Qingxiong Yang
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Gaussian-Adaptive Bilateral Filter
IEEE Signal Processing Letters, 2020Recent studies have demonstrated that a bilateral filter can increase the quality of edge-preserving image smoothing significantly. Different strategies or mechanisms have been used to eliminate the brute-force computation in bilateral filters. However, blindly decreasing the processing time of the bilateral filter cannot further ameliorate the ...
Bo-Hao Chen, Jia-Li Yin
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Poisson Noise Reducing Bilateral Filter [PDF]
Procedia Computer Science, 2016 Noise removal is a classical problem but not yet solve completely. So researchers are attracted to this problem again and again. Poisson noise is signal dependent noise and to remove this kind of noise, additive noise removal techniques are not helpful ...
Ashok Sapkal
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Pattern Recognition Letters, 2012
The paper presents a new graph-based implementation of bilateral filtering. Based on the Laplacian mesh smoothing framework, the proposed filter mimics the behaviour of the classical mesh filter while retaining some of the interesting properties of mesh smoothing. The comparison between the filters is twofold.
Guillaume Noel +3 more
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The paper presents a new graph-based implementation of bilateral filtering. Based on the Laplacian mesh smoothing framework, the proposed filter mimics the behaviour of the classical mesh filter while retaining some of the interesting properties of mesh smoothing. The comparison between the filters is twofold.
Guillaume Noel +3 more
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Compressive Bilateral Filtering
IEEE Transactions on Image Processing, 2015This paper presents an efficient constant-time bilateral filter that produces a near-optimal performance tradeoff between approximate accuracy and computational complexity without any complicated parameter adjustment, called a compressive bilateral filter (CBLF).
Kenjiro Sugimoto, Sei-ichiro Kamata
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Compressive Adaptive Bilateral Filtering
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020We propose a fast algorithm for an adaptive variant of the classical bilateral filter, where the range kernel is allowed to vary from pixel to pixel. Several fast and accurate algorithms have been proposed for bilateral filtering, but they assume that the same range kernel is used at each pixel and hence cannot be used for adaptive bilateral filtering (
Pravin Nair +2 more
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Content-Aware Bilateral Filtering
2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM), 2018The edge-preserving bilateral filter (BF) has been widely used in real time applications (e.g., image denoising) for its low computational cost. The main drawback of BF lies in its sensitiveness to varying noise levels. To improve the robustness, non-local means (NLM) filter extends the pixel-based similarity distance to patch-based one.
Tao Dai 0001 +5 more
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Bilateral filtering for video coding
2017 IEEE Visual Communications and Image Processing (VCIP), 2017This paper proposes the use of a bilateral filter as a coding tool for video compression. The filter is applied after transform and reconstruction, and the filtered result is used both for output as well as for spatial and temporal prediction. The implementation is based on a look-up table (LUT), making it fast enough to give a reasonable trade-off ...
Per Wennersten +5 more
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2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
Edge-preserving smoothing is widely used in image processing and bilateral filtering is one way to achieve it. Bilateral filter is a nonlinear combination of domain and range filters. Implementing the classical bilateral filter is computationally intensive, owing to the nonlinearity of the range filter.
Harini Kishan +1 more
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Edge-preserving smoothing is widely used in image processing and bilateral filtering is one way to achieve it. Bilateral filter is a nonlinear combination of domain and range filters. Implementing the classical bilateral filter is computationally intensive, owing to the nonlinearity of the range filter.
Harini Kishan +1 more
openaire +2 more sources
Bilateral Filtering of fMRI Data
IEEE Journal of Selected Topics in Signal Processing, 2008We present a class of adaptive filtering techniques of functional magnetic resonance imaging (fMRI) data related to bilateral filtering. This class of methods average activities in consistent regions rather than regions that maximize correlation with a BOLD model.
Joakim Rydell +2 more
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