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
More filters
TL;DR: A selective mean filter (SMF) is proposed and implemented and significantly reduces the noise and preserves the spatial resolution of the image.
Abstract: Background Noise reduction is a method for reducing CT dose; however, it can reduce image quality. Objective This study aims to propose a selective mean filter (SMF) and evaluate its effectiveness for noise suppression in CT images. Material and methods This experimental study proposed and implemented the new noise reduction algorithm. The proposed algorithm is based on a mean filter (MF), but the calculation of the mean pixel value using the neighboring pixels in a kernel selectively applied a threshold value based on the noise of the image. The SMF method was evaluated using images of phantoms. The dose reduction was estimated by comparing the image noise acquired with a lower dose after implementing the SMF method and the noise in the original image acquired with a higher dose. For comparison, the images were also filtered with an adaptive mean filter (AMF) and a bilateral filter (BF). Results The spatial resolution of the image filtered with the SMF was similar to the original images and the images filtered with the BF. While using the AMF, spatial resolution was significantly corrupted. The noise reduction achieved using the SMF was up to 75%, while it was up to 50% using the BF. Conclusion SMF significantly reduces the noise and preserves the spatial resolution of the image. The noise reduction was more pronounced with BF, and less pronounced with AMF.
14 citations
TL;DR: Experimental results demonstrate that the new 3D reconstruction methods proposed increases the robustness and accuracy of the geometric models which were reconstructed from a consumer-grade depth camera.
Abstract: A robust approach to elaborately reconstruct the indoor scene with a consumer depth camera is proposed in this paper. In order to ensure the accuracy and completeness of 3D scene model reconstructed from a freely moving camera, this paper proposes new 3D reconstruction methods, as follows: 1) Depth images are processed with a depth adaptive bilateral filter to effectively improve the image quality; 2) A local-to-global registration with the content-based segmentation is performed, which is more reliable and robust to reduce the visual odometry drifts and registration errors; 3) An adaptive weighted volumetric method is used to fuse the registered data into a global model with sufficient geometrical details. Experimental results demonstrate that our approach increases the robustness and accuracy of the geometric models which were reconstructed from a consumer-grade depth camera.
14 citations
Patent•
10 Apr 2000
TL;DR: In this article, the authors proposed a transparent filter on which many linear conductive materials are arranged on the surface of a sheet body to be disposed in front of an image device having square pixels.
Abstract: PROBLEM TO BE SOLVED: To provide a filter which has a higher opening ratio than a filter using a mesh and in which a moire pattern is hardly visible when the filter is disposed in front of an image device having square pixels. SOLUTION: In a transparent filter on which many linear conductive materials are arranged on the surface of a sheet body to be disposed in front of an image device having square pixels, the conductive materials having =70%. The P1, P2 and the lengths W1 and W2 of the pixel in the image device along the vertical direction and the horizontal direction, respectively, satisfy the relation of n1 +0.35<=W1/P1<=n1+0.65 and n2+0.35<=W2/P2<=n2+0.65.
14 citations
TL;DR: A hybrid filter for colour image smoothing is designed that combines a filter able to properly process flat image regions with another one that is more appropriate for details and texture and is competitive with respect to state-of-the-art methods.
14 citations
Patent•
29 Jun 2006
TL;DR: In this paper, a pixel is selected from a target digital image, and a corresponding set of pixels is determined from the evaluations of the multiple candidate pixels and on whether a predetermined threshold number of pixels have been included in the corresponding set.
Abstract: In an implementation, a pixel is selected from a target digital image. Multiple candidate pixels, from one or more digital images, are evaluated based on values of the multiple candidate pixels. For the selected pixel, a corresponding set of pixels is determined from the multiple candidate pixels based on the evaluations of the multiple candidate pixels and on whether a predetermined threshold number of pixels have been included in the corresponding set. Further for the selected pixel, a substitute value is determined based on the values of the pixels in the corresponding set of pixels. Various implementations described provide adaptive pixel-based spatio-temporal filtering of images or video to reduce film grain or noise. Implementations may achieve an “even” amount of noise reduction at each pixel while preserving as much picture detail as possible by, for example, averaging each pixel with a constant number, N, of temporally and/or spatially correlated pixels.
14 citations