Bilateral filter

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

Content adaptive noise reduction filtering for image signals

Abstract: A method includes selecting a target pixel and comparing a value of the target pixel with a respective value of each of a plurality of pixels located in an area that includes the target pixel. Further, for each pixel of the plurality of pixels that has a value different by at least a threshold amount from the value of the target pixel, the value of such pixel is replaced by the value of the target pixel. A filter function is applied to a set of pixels which includes the value of the target pixel and current values, after the selective replacement step, of the plurality of pixels.

Fast 3D mean shift filter for CT images

Abstract: In this paper we investigate the ability of the mean shift (MS) algorithm for denoising of 3D Computer Tomography (CT) data sets. The large size of the volume data sets makes it infeasible to apply a 3D version of the MS algorithm directly. Therefore, we introduce a variant of the MS algorithm using information propagation. We would like to make use of the 3D nature of the data with a considerably reduced running time of the algorithm. The proposed version is compared to a 2D implementation of the same algorithm applied slice by slice and other filter methods such as median filter and bilateral filtering. The advantages and disadvantages of each algorithm are shown on different CT data sets.

Method of correcting saturated pixel data and method of processing image data using the same

Abstract: Methods of correcting saturated pixel data in an image sensor are provided. A method of correcting saturated pixel data in an image sensor includes determining a weight function. The weight function indicates a correlation between color values of saturated pixels and color values of neighboring pixels. The saturated pixels are among a plurality of pixels which have a color value greater than a saturation threshold value. The neighboring pixels are among the plurality of pixels that are proximate to each of the saturated pixels. The method includes determining weight values of a neighboring pixels that are proximate to a first saturated pixel using the weight function. The method includes determining a weighted average value of the color values of each of the neighboring pixels using the weight values. The method includes correcting the color value of the first saturated pixel to the weighted average value.

Denoising and contrast-enhancement approach of magnetic resonance imaging glioblastoma brain tumors.

Abstract: We investigate a new preprocessing approach for MRI glioblastoma brain tumors. Based on combined denoising technique (bilateral filter) and contrast-enhancement technique (automatic contrast stretching based on image statistical information), the proposed approach offers competitive results while preserving the tumor region's edges and original image's brightness. In order to evaluate the proposed approach's performance, quantitative evaluation has been realized through the Multimodal Brain Tumor Segmentation (BraTS 2015) dataset. A comparative study between the proposed method and four state-of-the art preprocessing algorithm attests that the proposed approach could yield a competitive performance for magnetic resonance brain glioblastomas tumor preprocessing. In fact, the result of this step of image preprocessing is very crucial for the efficiency of the remaining brain image processing steps: i.e., segmentation, classification, and reconstruction.

Filter circuit of the median type for video signals

Abstract: For filter video signals a median selector is used to the inputs of which the sample values of a first pixel and other neighboring pixels. These other pixels lie in the line direction (horizontal) and in a direction perpendicular thereto (vertical) next to the first pixel. The filtering is improved if at least one additional pixel is provided in each of those directions, providing a cruciform filter window. A still further improvement is provided if pixels which immediately preceed or follow the first pixel in the time-dimension (i.e. pixel values from a previous or following picture) are also supplied to the median selector. By utilizing interpolated sub-pixels close to the central or first pixel, disturbances, not only from noise or drop-out, but also from chrominance cross-talk, can be mitigated or avoided.