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Bilateral filter

About: Bilateral filter is a research topic. Over the lifetime, 3500 publications have been published within this topic receiving 75582 citations.


Papers
More filters
Proceedings ArticleDOI
15 Apr 2004
TL;DR: A novel filtering technique namely trilateral filter is proposed, which can achieve edge-preserving smoothing with a narrow spatial window in only a few iterations and provides greater noise reduction than bilateral filtering and smooths biomedical images without over-smoothing ridges and shifting the edge locations.
Abstract: Filtering is a core operation in low level computer vision. It is a preliminary process in many biomedical image processing applications. Bilateral filtering has been applied to smooth biomedical images while preserving the edges. However, to avoid oversmoothing structures of sizes comparable to the image resolutions, a narrow spatial window has to be used. This leads to the necessity of performing more iterations in the filtering process. In this paper, we propose a novel filtering technique namely trilateral filter, which can achieve edge-preserving smoothing with a narrow spatial window in only a few iterations. The experimental results have shown that our novel method provides greater noise reduction than bilateral filtering and smooths biomedical images without over-smoothing ridges and shifting the edge locations, as compared to other noise reduction methods.

94 citations

Journal ArticleDOI
TL;DR: A novel single image-based dehazing framework to remove haze artifacts from images is proposed, where two novel image priors are proposed, called the pixel-based dark channel prior and the pixels-based bright channel prior, to estimate atmospheric light via haze density analysis.
Abstract: Images/videos captured from optical devices are usually degraded by turbid media such as haze, smoke, fog, rain and snow. Haze is the most common problem in outdoor scenes because of the atmosphere conditions. This paper proposes a novel single image-based dehazing framework to remove haze artifacts from images, where we propose two novel image priors, called the pixel-based dark channel prior and the pixel-based bright channel prior. Based on the two priors with the haze optical model, we propose to estimate atmospheric light via haze density analysis. We can then estimate transmission map, followed by refining it via the bilateral filter. As a result, high-quality haze-free images can be recovered with lower computational complexity compared with the state-of-the-art approach based on patch-based dark channel prior.

92 citations

Journal ArticleDOI
TL;DR: A robust and effective specular highlight removal method is proposed, based on a key observation-the maximum fraction of the diffuse colour component in diffuse local patches in colour images changes smoothly and can be treated as noise in this case.
Abstract: A robust and effective specular highlight removal method is proposed in this paper. It is based on a key observation—the maximum fraction of the diffuse colour component in diffuse local patches in colour images changes smoothly. The specular pixels can thus be treated as noise in this case. This property allows the specular highlights to be removed in an image denoising fashion: an edge-preserving low-pass filter (e.g., the bilateral filter) can be used to smooth the maximum fraction of the colour components of the original image to remove the noise contributed by the specular pixels. Recent developments in fast bilateral filtering techniques enable the proposed method to run over $200\times$ faster than state-of-the-art techniques on a standard CPU and differentiates it from previous work.

92 citations

Patent
10 Dec 2002
TL;DR: In this paper, a separation pixel gap is identified in an image resulting from a repositioning of image pixels to create a three-dimensional image, and pixels from one or more images are retrieved from a single image in a search sequence of images, or from a plurality of images in the sequence.
Abstract: An exemplary method of reconstructing a hidden surface area in an image includes the steps of: identifying a separation pixel gap in an image resulting from a repositioning of image pixels to create a three-dimensional image; identifying pixels from one or more images; and filling the separation pixel gap with the pixels. Replacement pixels can be retrieved from a single image in a search sequence of images, or from a plurality of images in the sequence. One or more pixel fill techniques can be employed to determine replacement pixels for the separation pixel gap which best match adjacent background pixels.

92 citations

Journal ArticleDOI
TL;DR: The performance of proposed methods is compared with existing denoising methods and found that, it has inferior performance compared to Bayesian least squares estimate using Gaussian Scale mixture and superior/comparable performance to that of wavelet thresholding, bilateral filter, multi-resolution bilateral filter
Abstract: The Gaussian filter is a local and linear filter that smoothes the whole image irrespective of its edges or details, whereas the bilateral filter is also a local but non-linear, considers both gray level similarities and geometric closeness of the neighboring pixels without smoothing edges The extension of bilateral filter: multi-resolution bilateral filter, where bilateral filter is applied to approximation subbands of an image decomposed and after each level of wavelet reconstruction The application of bilateral filter on the approximation subband results in loss of some image details, whereas that after each level of wavelet reconstruction flattens the gray levels thereby resulting in a cartoon-like appearance To tackle these issues, it is proposed to use the blend of Gaussian/bilateral filter and its method noise thresholding using wavelets In Gaussian noise scenarios, the performance of proposed methods is compared with existing denoising methods and found that, it has inferior performance compared to Bayesian least squares estimate using Gaussian Scale mixture and superior/comparable performance to that of wavelet thresholding, bilateral filter, multi-resolution bilateral filter, NL-means and Kernel based methods Further, proposed methods have the advantage of less computational time compared to other methods except wavelet thresholding, bilateral filter

92 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202321
202257
2021116
2020145
2019203
2018204