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An image noise elimination method with reserved high-frequency information

An image noise and high-frequency technology, applied in the field of image processing, can solve the problem of loss of image high-frequency information, loss, etc., and achieve the effect of filtering out random noise

Inactive Publication Date: 2010-06-02
INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
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Problems solved by technology

[0005] However, both linear filtering and nonlinear filtering lose high-frequency information such as image edges and details to a certain extent while eliminating image noise, and often better denoising effects will lose more image high-frequency information

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  • An image noise elimination method with reserved high-frequency information
  • An image noise elimination method with reserved high-frequency information
  • An image noise elimination method with reserved high-frequency information

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Embodiment Construction

[0022] The specific implementation process of the image noise removal method for retaining high-frequency information provided by the present invention will be described in detail below with reference to the accompanying drawings.

[0023] Such as figure 1 As shown, the method for image noise removal that retains high-frequency information provided by the present invention is divided into two steps:

[0024] Step 100: performing a linear filtering operation on the input image containing random noise and the filtering function;

[0025] The function of this step is to eliminate random noise in the image; this step is basically the same as the existing linear filtering, and it is completed through the convolution operation of the input image and the filter function, but the filter function here chooses the cutoff frequency to be the sixteenth of the highest frequency One-half of the low-pass filter, so that the random noise in the input image can be fully filtered out because t...

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Abstract

The invention relates to an image noise eliminating method for preserving high frequency information, and is characterized in that: comprising the two following steps that: (a) linear filtering processing is done to an inputting image with random noise and a filtering function: (b) conjugate gradient optimization restoration operation is done by taking the filtering result of the frontal step as adegenerated function, wherein a first step is to fully eliminate the random noise in the image, a second step is to restore the high frequency information such as a losing image edge, details and soon of the first step. Therefore, the image noise eliminating method of the invention is capable of fully eliminating the image random noise on the premise of preserving the image high frequency information.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image noise removal method for retaining high-frequency information. Background technique [0002] Noise will be generated in the process of image acquisition, transmission, storage, etc., resulting in the degradation of image quality, difficulties in image feature extraction and image recognition, and poor visual effects. Filtering is one of the main means of image noise removal, which can be roughly divided into time domain filtering and spatial domain (frequency domain) filtering. Time-domain filtering is mainly used for noise removal in the time direction of multi-frame image sequences. Spatial domain filtering is mainly used for noise removal of a single frame image, and spatial domain filtering includes linear filtering and nonlinear filtering. [0003] Smoothing filter is the most commonly used linear filter, which replaces the value of each pixel of the image with the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N5/217
Inventor 黄建明廖胜沈忙作李强
Owner INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
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