Topic
Bilateral filter
About: Bilateral filter is a research topic. Over the lifetime, 3500 publications have been published within this topic receiving 75582 citations.
Papers published on a yearly basis
Papers
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TL;DR: The presented filter can reduce the speckle noise and, at the same time, maintain the tissue structure and can improve the quality of an ultrasound image in terms of tissue SNR, CNR and FOM values.
13 citations
TL;DR: In the presented approach, an edge-preserving filter, called the bilateral filter, is used to extract the base and detail images, and the final image is reconstructed by reducing contrast in the base image but preserving the detail, so that the significance of the detail image is enhanced.
Abstract: This letter presents a new approach for hyperspectral image visualization based on high-dynamic-range (HDR) image processing The proposed approach is inspired by techniques that are used to display HDR images on low-dynamic-range media by reducing the contrast, yet preserving the image detail This is the first time this concept is utilized for the display of hyperspectral images In the presented approach, an edge-preserving filter, called the bilateral filter, is used to extract the base and detail images, and the final image is reconstructed by reducing contrast in the base image but preserving the detail, so that the significance of the detail image is enhanced It is shown that the proposed approach improves the visual appearance and perceived detail of hyperspectral images
13 citations
TL;DR: An algorithm for denoising low-dose sinograms in cone-beam CT based on minimizing a cost function that includes a measurement consistency term and two regularizations in terms of the gradient and the Hessian of the sinogram is proposed.
13 citations
29 Dec 2011
TL;DR: This paper presents a novel method based on the developed multiscale dual bilateral filter to fuse high spatial resolution panchromatic image and high spectral resolution multispectral image that outperforms conventional methods.
Abstract: This paper presents a novel method based on the developed multiscale dual bilateral filter to fuse high spatial resolution panchromatic image and high spectral resolution multispectral image. Compared with traditional multi-resolution based methods, the process of detail extraction considers the characteristics of panchromatic image and multispectral image simultaneously. The low resolution multispectral image is resampled to the same size of the high resolution panchromatic image and sharpened through injecting the extracted details. The proposed fusion method is tested over QuickBird and IKONOS images and compared with three popular methods. The experimental results demonstrate that our method outperforms conventional methods.
13 citations
TL;DR: This paper proposes a structure-preserving bilateral texture filtering algorithm to smooth texture while preserving salient structures, and designs a dual-scale patch toggle scheme that outperforms previous methods in terms of preserving small structures.
Abstract: Extracting meaningful structures from images with complicated texture patterns is challenging since it is hard to separate structure from texture with similar scale or intensity contrast. In this paper, we propose a structure-preserving bilateral texture filtering algorithm to smooth texture while preserving salient structures. We design a dual-scale patch toggle scheme. That is, two-scale patches are exploited to represent pixels alternatively, the smaller ones for pixels located at structure edges and the bigger ones for pixels in textural regions, and DASM (Directional Anisotropic Structure Measurement) on each pixel is estimated to select which type of patch for it. Our algorithm is based on the framework of joint bilateral filtering, so it is fast, easy to implement, yet effective for adaptive image smoothing. In particular, our approach outperforms previous methods in terms of preserving small structures. The proposed method achieves excellent results that illustrate its effectiveness and efficiency.
13 citations