Mine image enhancement method based on bilateral filtering and multi-scale Retinex algorithm

A bilateral filtering and image enhancement technology, applied in image enhancement, image data processing, computing, etc., can solve problems such as blurred details and poor contrast

Inactive Publication Date: 2016-08-10
CHINA UNIV OF MINING & TECH (BEIJING)
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Problems solved by technology

[0005] The present invention combines multi-scale Retinex algorithm and bilateral filtering to process mine images on the basis of wavelet transform, a

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  • Mine image enhancement method based on bilateral filtering and multi-scale Retinex algorithm
  • Mine image enhancement method based on bilateral filtering and multi-scale Retinex algorithm
  • Mine image enhancement method based on bilateral filtering and multi-scale Retinex algorithm

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Embodiment Construction

[0062] The present invention will be described below in conjunction with the drawings and specific embodiments.

[0063] The present invention proposes a mine image processing scheme based on bilateral filtering and multi-scale Retinex algorithm, and its execution process is as follows:

[0064] The first step is to carry out wavelet decomposition on the image. By using the two-dimensional discrete wavelet decomposition formula, the low-frequency coefficients and high-frequency coefficients of different scales of the image can be obtained. Low frequency coefficient Define f(x, y) at scale j 0 The approximation to represents the contour information of the image; high frequency coefficients For scale j≥j 0 Additional horizontal, vertical and diagonal details, representing different scale edges, details and noise of the image.

[0065]

[0066] W ψ i ( j , m , n ) = 1 M N X x = 0 M - 1 X y = 0 N - 1 f ...

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Abstract

The invention discloses a mine image enhancement method based on bilateral filtering and a multi-scale Retinex algorithm. The method comprises the steps that 1 image wavelet decomposition is carried out to acquire high frequency and low frequency coefficients of an image; 2 the multi-scale Retinex algorithm and bilateral filtering are carried out on the low frequency coefficient of the image; 3 a soft threshold filtering algorithm is carried out on the high frequency coefficient of the image; 4 a discrete wavelet inverse transform formula is used to acquire an enhanced spatial domain image; and 5 local self-adaptive contrast enhancing is carried out on the enhanced spatial domain image. Compared with the existing enhancement method, the enhancement method provided by the invention has the advantage that based on wavelet transformation, the multi-scale Retinex algorithm and bilateral filtering are combined for processing; self-adaptive contrast enhancing is finally carried out; a processed picture has the advantages of rich detail, being structured and easy identification; and the shortcomings of halo, blurry detail and poor contrast of a result processed by a traditional scheme are overcome.

Description

Technical field [0001] The invention belongs to the field of mine image enhancement, and specifically is an image enhancement method based on bilateral filtering and multi-scale Retinex algorithm. Background technique [0002] With the continuous popularization of mine broadband transmission systems and digital image acquisition equipment, the use of images for mine safety monitoring has become a hot research direction. The use of image technology for safety monitoring has huge advantages that traditional safety monitoring technologies can’t match, but the underground lighting is uneven , The characteristics of high dust concentration, water vapor, low light intensity, etc., cause the images collected in the mine to have fuzzy, unclear details, and the overall darkness, which is not conducive to visual observation and the extraction of identification features, and brings to the application of mine image technology A lot of trouble. [0003] Among the existing digital picture proce...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/008
Inventor 刘晓阳乔通
Owner CHINA UNIV OF MINING & TECH (BEIJING)
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