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Shadow Removal Using Bilateral Filtering

IEEE Transactions on Image Processing, 2012
In 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
openaire   +2 more sources

SRBF: Speckle Reducing Bilateral Filtering

Ultrasound in Medicine & Biology, 2010
Speckle 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
openaire   +3 more sources

Recursive Bilateral Filtering

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 ...
openaire   +1 more source

Bilateral Filtered Shadow Maps

2009
We 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
openaire   +1 more source

Constant Time Median and Bilateral Filtering

International Journal of Computer Vision, 2014
This 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
openaire   +1 more source

Performance of bilateral filtering on Gaussian noise

Journal of Electronic Imaging, 2014
Bilateral 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
openaire   +1 more source

Analysis of the bilateral filter

Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002., 2003
Effective 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.
openaire   +1 more source

Retinex by Two Bilateral Filters

2005
Retinex 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 ...
openaire   +1 more source

Noise reduction with complex bilateral filter

The Journal of the Acoustical Society of America, 2017
This study introduces a noise reduction technique that uses a complex bilateral filter. A bilateral filter is a nonlinear filter originally developed for images that can reduce noise while preserving edge information. It is an attractive filter and has been used in many applications in image processing. When it is applied to an acoustical signal, small-
openaire   +2 more sources

Bilateral Video Magnification Filter

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Shoichiro Takeda   +5 more
openaire   +1 more source

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