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Spot image processing algorithm based on multi-scale wavelet transformation

A technology of wavelet transform and spot image, applied in image data processing, image enhancement, calculation, etc., can solve the problem of pixel space resolution reduction, achieve good visual effect, retain edge information, and good denoising effect

Inactive Publication Date: 2014-12-10
南京恒誉名翔科技有限公司
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Problems solved by technology

Although this method can effectively reduce the noise, it will reduce the resolution of the pixel space; the other method is the post-imaging processing, which is mainly to filter the speckle noise.

Method used

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  • Spot image processing algorithm based on multi-scale wavelet transformation
  • Spot image processing algorithm based on multi-scale wavelet transformation
  • Spot image processing algorithm based on multi-scale wavelet transformation

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Embodiment Construction

[0022] The present invention is described in more detail below in conjunction with accompanying drawing example:

[0023] to combine figure 1 , figure 1 It is a flow chart of speckle image processing algorithm based on multi-scale wavelet transform. A speckle image processing algorithm based on multi-scale wavelet transform, comprising the following steps:

[0024] 1. Perform logarithmic transformation on the original image, and convert image multiplicative noise into additive noise;

[0025] 2. Perform multi-scale wavelet decomposition on the logarithmically transformed image;

[0026] 3. Select a threshold and perform threshold processing on the wavelet coefficients;

[0027] 4. Reconstruct the wavelet coefficients;

[0028] 5. Perform an exponential operation to obtain a denoised image.

[0029] Described wavelet transform speckle image processing algorithm, the selection method of threshold in step 3 is:

[0030] (1),

[0031] In formula (1), is the variance of...

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Abstract

The invention relates to a spot image processing algorithm based on multi-scale wavelet transformation. The spot image processing algorithm includes the steps of firstly, performing logarithm transformation on an original image, and converting image multiplicative noise into additive noise; secondly, performing multi-scale wavelet decomposition on the image after the logarithm transformation; thirdly, selecting a threshold, and performing threshold treatment on a wavelet coefficient; fourthly, reconstructing the wavelet coefficient; fifthly, performing exponent operation to obtain the noise-reduced image. Compared with a traditional spatial filter noise reduction method, the spot image processing algorithm based on the multi-scale wavelet transformation has the advantages that the wavelet threshold noise reduction method has good visual effect, good noise reduction effect is achieved, and the edge information of the image can be kept effectively.

Description

technical field [0001] The invention relates to a speckle image processing algorithm, in particular to a speckle image processing algorithm based on multi-scale wavelet transform. Background technique [0002] Images play an important role in the information received and communicated by humans. There are many situations where people rely on image information in their daily life and production practice. However, when digitally processing images, it often encounters difficulties such as low pixel value of the detected target image, large image noise, and large fluctuations in gray levels. General digital image processing methods can be divided into traditional space domain methods and transform domain methods. Spatial domain methods can be divided into point target processing methods and domain processing methods. The detection algorithm of point target includes the detection method of adaptive background prediction and the detection method of median filter. The mathematica...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 费浚纯
Owner 南京恒誉名翔科技有限公司
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