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Bilateral Filtering: Theory and Applications
Foundations and Trends® in Computer Graphics and Vision, 2009The bilateral filter is a non-linear technique that can blur an image while respecting strong edges. Its ability to decompose an image into different scales without causing haloes after modification has made it ubiquitous in computational photography applications such as tone mapping, style transfer, relighting, and denoising.
Sylvain Paris +3 more
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Bilateral Normal Filtering for Mesh Denoising
IEEE Transactions on Visualization and Computer Graphics, 2011Decoupling local geometric features from the spatial location of a mesh is crucial for feature-preserving mesh denoising. This paper focuses on first order features, i.e., facet normals, and presents a simple yet effective anisotropic mesh denoising framework via normal field denoising. Unlike previous denoising methods based on normal filtering, which
Youyi Zheng +3 more
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Shadow Removal Using Bilateral Filtering
IEEE Transactions on Image Processing, 2012In this paper, we propose a simple but effective shadow removal method using a single input image. We first derive a 2-D intrinsic image from a single RGB camera image based solely on colors, particularly chromaticity. We next present a method to recover a 3-D intrinsic image based on bilateral filtering and the 2-D intrinsic image.
Qingxiong Yang +2 more
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SRBF: Speckle Reducing Bilateral Filtering
Ultrasound in Medicine & Biology, 2010Speckle noise negatively affects medical ultrasound image shape interpretation and boundary detection. Speckle removal filters are widely used to selectively remove speckle noise without destroying important image features to enhance object boundaries. In this article, a fully automatic bilateral filter tailored to ultrasound images is proposed.
Balocco, S +4 more
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2012
This paper proposes a recursive implementation of the bilateral filter. Unlike previous methods, this implementation yields an bilateral filter whose computational complexity is linear in both input size and dimensionality. The proposed implementation demonstrates that the bilateral filter can be as efficient as the recent edge-preserving filtering ...
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This paper proposes a recursive implementation of the bilateral filter. Unlike previous methods, this implementation yields an bilateral filter whose computational complexity is linear in both input size and dimensionality. The proposed implementation demonstrates that the bilateral filter can be as efficient as the recent edge-preserving filtering ...
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Bilateral Filtered Shadow Maps
2009We present a novel shadow smoothing algorithm using the bilateral filter. From the observation that shadow leaking, which is found often in filter based approaches, occurs at depth discontinuity seen from the viewpoint of the eye, we apply the bilateral filter which is conceptually a product of two Gaussian filters, one for smoothing the shadow map and
Jinwook Kim, Soojae Kim
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Constant Time Median and Bilateral Filtering
International Journal of Computer Vision, 2014This paper formulates both the median filter and bilateral filter as a cost volume aggregation problem whose computational complexity is independent of the filter kernel size. Unlike most of the previous works, the proposed framework results in a general bilateral filter that can have arbitrary spatial$$^{1}$$1 and arbitrary range filter kernels.
Qingxiong Yang +2 more
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Performance of bilateral filtering on Gaussian noise
Journal of Electronic Imaging, 2014Bilateral filtering is a nonlinear technique that reduces noise from images while preserving strong image edges. Due to the nonlinear nature of bilateral filtering, it is difficult to analyze the performance of the filter. We derive a closed-form equation of bilateral filtering for flat regions which shows the relationship between noise reduction and ...
Junhee Park +2 more
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Analysis of the bilateral filter
Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002., 2003Effective methods for image denoising are typically based on iterative and locally adaptive algorithms. Recently, an alternative algorithm called 'bilateral filter' was proposed for the same task. This filter was shown to give similar and possibly better results compared to the ones obtained by the best iterative approaches.
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Retinex by Two Bilateral Filters
2005Retinex theory deals with the removal of unfavorable illumination effects from images. This ill-posed inverse problem is typically regularized by forcing spatial smoothness on the recoverable illumination. Recent work in this field suggested exploiting the knowledge that the illumination image bounds the image from above, and the fact that the ...
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