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Real-time weighted median filtering method based on bilateral grid

A weighted median and grid technology, which is applied in image data processing, instruments, calculations, etc., can solve problems such as graphics card hardware implementation, and achieve the effect of a significant structural boundary

Active Publication Date: 2016-08-31
WENZHOU UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this method reduces the time complexity to O(r), the algorithm is highly serial in nature and therefore cannot be implemented directly on graphics card hardware

Method used

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  • Real-time weighted median filtering method based on bilateral grid
  • Real-time weighted median filtering method based on bilateral grid
  • Real-time weighted median filtering method based on bilateral grid

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Embodiment Construction

[0028]The present invention will be further described by the following examples in conjunction with the schematic flow chart.

[0029] The present invention will be described in detail below in conjunction with the accompanying drawings: real-time weighted median filtering method based on bilateral grids; this embodiment is implemented on the premise of the technical solution of the present invention, and combines detailed implementation methods and processes, but this embodiment The scope of protection of the invention is not limited to the following examples.

[0030] Such as figure 1 As shown, the bilateral grid-based real-time weighted median filtering method described in this embodiment includes the following five steps:

[0031] (1) A two-dimensional image is given as the input image I, and an image of the same size as the input image is given as the boundary image E. The width and height of the image are recorded as w and h respectively, then x ∈ {0, 1, 2, ..., w-1}, ...

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Abstract

The invention provides a real-time weighted median filtering method based on a bilateral grid. The method mainly comprises five steps that an input image and a boundary image are given by a user; a four-dimensional bilateral grid having x, y, z and a four coordinate axes are constructed according to the input image and the boundary image; according to the constructed four-dimensional bilateral grid, Gauss filtering operation is carried out respectively along the x, y and z coordinate axes to acquire a bilateral grid after smoothing weighting; according to the bilateral grid after smoothing weighting, accumulation operation long the a coordinate axis is carried out to acquire a three-dimensional histogram after accumulation; according to the three-dimensional histogram after accumulation, the final weighted median filtering output image is acquired on the basis of a linear interpolation method. On the basis of advantages of the bilateral grid, not only can image smoothing filtering be realized, but also the relatively good edge information is further kept. According to the method, each step can be parallelly processed in the graphic card hardware, and the operation speed is effectively improved.

Description

technical field [0001] The invention relates to a weighted median filtering method, in particular to a method for performing real-time weighted median filtering based on a four-dimensional bilateral grid. Background technique [0002] The task of boundary-preserving image smoothing filter is to remove the noise information contained in the image while maintaining the salient structure information on the image as well as possible. At present, many boundary-preserving image smoothing filters have been proposed. The bilateral filtering method is a boundary-preserving filtering method that is simple to implement and widely used. The image filtering operation is performed by calculating the weighted sum of pixel values ​​in the local neighborhood of the image. To a certain extent, the structural boundary of the image will be blurred (see Tomasi C, Manduchi R. Bilateral filtering for gray and color images. Proceedings of IEEE International Conference on Computer Vision, IEEE Comp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20192G06T2207/20032G06T5/70
Inventor 赵汉理高丹丹
Owner WENZHOU UNIVERSITY
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