Local and linear total variation-based filtering method

A local linear and total variation technology, applied in image data processing, instrumentation, calculation, etc., to achieve the effect of small amount of calculation, good edge-preserving filtering characteristics, and simple algorithm

Inactive Publication Date: 2016-06-01
SHAANXI QIYUAN TECH DEV
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Problems solved by technology

Although bilateral filtering is very useful in many applications, how to reduce its computational complexity and improve its running speed while reducing its accuracy is a challenging problem.

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  • Local and linear total variation-based filtering method
  • Local and linear total variation-based filtering method

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Embodiment Construction

[0011] A local linear total variation filtering method, in the pixel i Take n*n window as the center ,Have in, and for window image blocks within a i and b i for the window The associated coefficient of variation. So, in the small window , the above formula is written in component form as In order to find the optimal solution, the objective function in the formula is about a i , b i Derivative, and make it equal to zero, the calculation can be in, and observation image f in small window mean and variance of the inner gradient modulus; N w for small window the number of pixels, for observation image f in small window The mean of the inner gradient modulus.

[0012] With a i * and b i * Afterwards, for small windows any pixel, there is for all sliding windows , i= 1,2...N (N is the total number of pixels contained in the image), calculate the respective a i * and b i * After that, the final filtered output result in,

[0013]...

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Abstract

The invention relates to the image filtering field and provides a local and linear total variation-based filtering method. According to the technical scheme of the method, firstly, each pixel (i) is adopted as a center and an n*n window is obtained. Secondly, the system of each window is transformed as ai* and bi*. Finally, a filtering output result is obtained. By adopting the method, the detail information of an image is better retained. Meanwhile, gray-scale images and color images can be quickly filtered. The method is simple in algorithm, small in calculated amount, better in edge filtering characteristics and efficient in image denoising, smoothing, detail enhancement, image compression within the high dynamic range and the like.

Description

technical field [0001] The invention relates to an image filter and a local linear total variation filter method. Background technique [0002] Image filtering, that is, to reduce the influence of noise while maintaining as many details of the image as possible, is a basic and important operation in computer vision applications. In general, image filtering can be divided into two categories: linear filtering and nonlinear filtering. Due to the non-Gaussian and piecewise smooth characteristics of the image, linear (convolution) filtering algorithms, such as mean filtering and Gaussian filtering, although the method is simple and fast, will also cause over-smoothing while filtering out noise, making The edges of the image are blurred. Therefore, edge-preserving non-linear filtering methods have attracted more and more attention and are widely used in the fields of computer vision and image processing. [0003] Among various edge-preserving nonlinear filtering algorithms, bi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/20
Inventor 张淑芬
Owner SHAANXI QIYUAN TECH DEV
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