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Fast Gauss Bilateral Filtering [PDF]

open access: yesComputer Graphics Forum, 2010
Abstract In spite of high computational complexity, the bilateral filter and its modifications and extensions have recently become very popular image and shape processing tools. In this paper, we propose a fast and accurate approximation of the bilateral filter. Our approach combines a dimension elevation trick with a Fast Gauss Transform.
Shin Yoshizawa 0001   +2 more
openaire   +2 more sources

Adaptive pre-filtering techniques for colour image analysis [PDF]

open access: yes, 2007
One important step in the process of colour image segmentation is to reduce the errors caused by image noise and local colour inhomogeneities. This can be achieved by filtering the data with a smoothing operator that eliminates the noise and the ...
Dana Elena Ilea   +3 more
core   +2 more sources

The Guided Bilateral Filter: When the Joint/Cross Bilateral Filter Becomes Robust [PDF]

open access: yesIEEE Transactions on Image Processing, 2015
The bilateral filter and its variants, such as the joint/cross bilateral filter, are well-known edge-preserving image smoothing tools used in many applications. The reason of this success is its simple definition and the possibility of many adaptations. The bilateral filter is known to be related to robust estimation.
Caraffa, Laurent   +2 more
openaire   +3 more sources

Penapisan Derau Gaussian, Speckle dan Salt&Pepper Pada Citra Warna

open access: yesIJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2011
Quality of digital image can decrease becouse some noises. Noise can come from lower quality of image recorder, disturb when transmission data process and weather. Noise filtering can make image better becouse will filtering that noise from the image and
Ika Purwanti Ningrum   +2 more
doaj   +1 more source

Window‐aware guided image filtering via local entropy

open access: yesIET Image Processing, 2021
Guided image filtering is one of the widely used techniques in computer vision. However, it commonly leads to over‐smoothed edges and a distorted appearance when tackling intricate texture patterns and complex noise.
Chong Liu, Cui Yang, Jun Wang
doaj   +1 more source

Mesh Denoising via Adaptive Consistent Neighborhood

open access: yesSensors, 2021
In this paper, we propose a novel guided normal filtering followed by vertex updating for mesh denoising. We introduce a two-stage scheme to construct adaptive consistent neighborhoods for guided normal filtering.
Mingqiang Guo   +5 more
doaj   +1 more source

Study on Fast Image Dehazing Based on Discriminant Filtering and Bilateral Filtering [PDF]

open access: yesJisuanji gongcheng, 2016
In order to improve the running efficiency of image dehazing algorithm and solve the color distortion problem in the bright area after dehazing, this paper puts forward a Fast Image Dehazing Algorithm based on Twice Filtering(TBFIDA).It gets the ambient ...
LIU Wanjun,ZHAO Qingguo
doaj   +1 more source

Image enhancement method of mine based on bilateral filtering and Retinex algorithm

open access: yesGong-kuang zidonghua, 2017
In view of defects that common bilateral filtering algorithm is easy to loss image details and Retinex algorithm is easy to appear phenomenon of halo artifacts when light and darkness changes violently, an image enhancement method based on bilateral ...
LIU Xiaoyang, QIAO Tong, QIAO Zhi
doaj   +1 more source

Mine image enhancement method based on multi-scale local histogram equalization

open access: yesGong-kuang zidonghua, 2023
There are problems of under-enhancement and over-enhancement in commonly mine image enhancement methods such as histogram equalization, Retinex theory, homomorphic filtering, wavelet analysis, etc.
TU Yihan, WANG Puqing
doaj   +1 more source

Performance of bilateral filtering on Gaussian noise

open access: yes, 2020
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.
이병욱, 박준희
core   +1 more source

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