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Image noise reduction method and terminal

An image noise reduction and image technology, which is applied in the field of image processing and can solve problems such as insufficient image quality, blurred image, and reduced image resolution.

Inactive Publication Date: 2018-09-07
ZTE CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, through such noise reduction processing, due to the imaging characteristics of the lens, the brightness of the image has different degrees of attenuation from the center of the image to the periphery of the image. Therefore, the image after noise reduction has the following two extremes: (1 ), the image uses a strong noise reduction processing method, the noise reduction effect around the image is better, and the image is clean, but the details in the center of the image are sacrificed, the image resolution is reduced, and the image is blurred; (2), the image uses a weaker noise reduction Noise processing method, the overall details of the image are preserved more, but the noise around the image is large, and the image is not clean
In short, when using the existing noise reduction processing method to reduce the noise of the image, it will lead to some deficiencies in the image quality.

Method used

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  • Image noise reduction method and terminal

Examples

Experimental program
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Effect test

Embodiment 1

[0056] An embodiment of the present invention provides an image noise reduction method, such as figure 1 As shown, the method may include:

[0057] S101. Acquire a current frame image.

[0058]In the embodiment of the present invention, when the terminal uses the camera function to shoot the target object, when the terminal starts the camera function, the terminal can preview the image corresponding to the target object through the display screen, so the terminal can obtain the current frame image , which is the preview image for the current frame. Wherein, the current frame image refers to a preview image corresponding to the target object acquired by the terminal in the current frame.

[0059] It should be noted that, in the embodiment of the present invention, during the process of taking pictures or photographing images by using the camera installed on the terminal itself, the terminal obtains the current frame image corresponding to the target object, and the current fr...

Embodiment 2

[0089] An embodiment of the present invention provides an image noise reduction method, such as Figure 7 As shown, the method may include:

[0090] S201. Acquire a current frame image.

[0091] In the embodiment of the present invention, the process of "the terminal acquires the current frame image" is consistent with the description of S101 in the foregoing embodiments, and will not be repeated here.

[0092] S202. Acquire first lens parameters corresponding to the current frame image.

[0093] In the embodiment of the present invention, the process of "the terminal acquires the first lens parameter corresponding to the current frame image" is consistent with the description of S102 in the foregoing embodiment, and will not be repeated here.

[0094] S203. Acquire the uniformity characteristic parameter of the second lens corresponding to the last frame of image.

[0095] S204. Determine whether there is a difference between the first lens uniformity characteristic parame...

Embodiment 3

[0120] Such as Figure 8 As shown, the embodiment of the present invention provides a terminal 1, the terminal 1 may include:

[0121] An acquisition unit 10, configured to acquire a current frame image; and acquire a first lens parameter corresponding to the current frame image;

[0122] The determining unit 11 is configured to determine a first noise reduction coefficient of the current frame image according to the first lens parameter.

[0123] The noise reduction unit 12 is configured to perform noise reduction processing on the current frame image according to the first noise reduction coefficient.

[0124] optional, based on Figure 8 ,Such as Figure 9 As shown, the terminal 1 further includes: a judging unit 13 .

[0125] The acquiring unit is further configured to acquire the second lens uniformity characteristic parameter corresponding to the previous frame image.

[0126] The judging unit 13 is configured to judge whether there is a difference between the first...

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Abstract

The embodiment of the invention discloses an image noise reduction method. The method comprises the following steps: acquiring the current frame image; acquiring a first lens parameter corresponding to the current frame image; determining a first noise reduction coefficient of the current frame image according to the first lens parameter; and performing noise reduction processing on the current frame image according to the first noise reduction coefficient. The embodiment of the invention further discloses a terminal at the same time.

Description

technical field [0001] The invention relates to image processing technology in the field of electronic applications, in particular to an image noise reduction method and a terminal. Background technique [0002] With the rapid development of camera technology and the popularization of terminals, users' demand for high-quality images continues to increase, and camera technology is facing higher and higher requirements. Image noise (image noise) is an important factor to measure image quality, therefore, image noise reduction technology has become a problem that cannot be ignored. [0003] At present, the image noise reduction algorithm adopted for image noise reduction performs image noise reduction processing, such as median filter algorithm, adaptive Wiener filter algorithm, wavelet noise reduction algorithm and other image noise reduction algorithms. Specifically, an image noise reduction algorithm is used to uniformly process the image according to the noise characterist...

Claims

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Application Information

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IPC IPC(8): H04N5/21H04N5/232G06T5/00
CPCH04N5/21H04N23/80G06T5/70G06T2207/20032G06T5/20H04N23/81
Inventor 张文娜
Owner ZTE CORP
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