Image noise removing method and device

A technology of image noise and noise variance, which is applied in the field of camera image noise removal, can solve the problems of difficult noise removal, difficult image details and noise distinction, loss of more image details, etc., to achieve simple interpolation algorithm and unaffected image clarity effect of influence

Active Publication Date: 2012-09-26
BYD SEMICON CO LTD
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is: it is difficult to accurately distinguish image details and noises in the prior art, resulting in the loss of more image details when the distinguishing conditions are strict, and when the distinguishing conditions are broad, many noises are difficult to remove question

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  • Image noise removing method and device
  • Image noise removing method and device

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Embodiment Construction

[0031] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0032] figure 1 It is a schematic flow chart of an embodiment of the present invention; figure 1 As shown, an image noise removal method provided by the embodiment of the present invention includes:

[0033] Step S101: Estimate the noise variance value of the Bayer image data according to the analog gain value;

[0034] Step S102: In the Bayer image data, select points of the same color that are alternate rows and / or columns with the point to be denoised, and establish a neighborhood of the point to be denoised with the point to be denoised as the center point;

[0035] Step S103: Calculate the variance value of the neighborhood of the to-be-denoised point;

[0036] Step S104: Compare the variance value of the neighborhood of the to-be-denoised point...

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Abstract

The invention provides an image noise removing method, which comprises the following steps: estimating a noise variance value of Bayer image data according to a simulation gain value; selecting the same color point interlaced and / or column-isolated with the noise-to-be-removed point in the Bayer image data, and establishing a noise-to-be-removed point neighboring domain which tales the noise-to-be-removed point as a central point; computing a variance value of the noise-to-be-removed point neighboring domain; and comparing the variance value of the noise-to-be-removed point neighboring domainwith the noise variance value of the Bayer image data, and selecting a corresponding filter to perform noise filtering on the Bayer image data according to a comparison result. In the image noise removing method, the image details are amplified by using the neighboring domain variance based on the Bayer image data, so the image details and noise can be effectively distinguished, the image noise can be effectively removed, and the image details are maintained as much as possible so as not to influence the image definition. Therefore, the subsequent interpolation algorithm can be simpler, and an noise-removed full-colored RGB image can be effectively recovered.

Description

technical field [0001] The invention relates to the field of image noise removal, in particular to a camera image noise removal method and device. Background technique [0002] The basic purpose of image preprocessing is to improve image quality, and removing image noise is an effective way to improve image quality. There are many reasons for the formation of noise, which may be generated during imaging or transmission. There are also many different methods for noise removal in image processing, among which the low-pass filtering method is the most commonly used. [0003] Low-pass filtering is a popular signal processing method, which uses simple neighborhood averaging to reduce noise, that is, replaces the color components of the current center pixel with the average value of the color components of the neighboring pixels. This method can compare Effectively suppress image noise, but there is a large loss of image details, thereby reducing image quality. [0004] There i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 胡文阁彭茂
Owner BYD SEMICON CO LTD
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