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Method for removing image color noise, method for removing video color noise and related devices

A color noise and image technology, applied in the field of image processing, can solve problems such as color distortion and achieve the effect of reducing loss

Active Publication Date: 2020-09-11
BIGO TECH PTE LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a method for removing color noise in an image, a method for removing color noise in a video, and related devices, so as to solve the problem in the prior art that color distortion is caused to light spots or thin lines with color information while removing color noise

Method used

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  • Method for removing image color noise, method for removing video color noise and related devices
  • Method for removing image color noise, method for removing video color noise and related devices
  • Method for removing image color noise, method for removing video color noise and related devices

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Embodiment 1

[0043] figure 1 It is a flow chart of steps for a method for removing color noise in an image provided by Embodiment 1 of the present invention. This embodiment of the present invention is applicable to the situation of removing color noise in an image. The method can be implemented by the device for removing color noise in an image according to the embodiment of the present invention To implement, the device for removing image color noise can be implemented by hardware or software, and integrated in the electronic device provided by the embodiment of the present invention, specifically, such as figure 1 As shown, the method for removing image color noise in the embodiment of the present invention may include the following steps:

[0044] S101. Acquire an ambient light brightness value when an image is captured.

[0045] In an example of the embodiment of the present invention, the ambient light brightness value of the shooting scene can be detected by the light sensor on the...

Embodiment 2

[0056] Figure 2A It is a flow chart of the steps of a method for removing image color noise provided by Embodiment 2 of the present invention. The embodiment of the present invention is optimized on the basis of the foregoing Embodiment 1. Specifically, as Figure 2A As shown, the method for removing image color noise in the embodiment of the present invention may include the following steps:

[0057] S201. Acquire an ambient light brightness value when an image is captured.

[0058] S202. Perform filtering processing on the brightness value of the image to obtain a filtered brightness value of the image.

[0059] Optionally, in this embodiment of the present invention, the image has three channels of data Y, U, and V, where Y is a brightness value, and the Y channel can be filtered to obtain the brightness value of the filtered image. Specifically, it can be Use 3DNR (3DDenoising, 3D denoising) to remove the noise of the Y channel. 3DNR compares the images of the two frame...

Embodiment 3

[0106] image 3 It is a flow chart of the steps of a method for removing color noise in video provided by Embodiment 3 of the present invention. This embodiment of the present invention is applicable to the situation of removing color noise in video. device, the device for removing video color noise can be implemented by hardware or software, and integrated in the electronic device provided by the embodiment of the present invention, specifically, as image 3 As shown, the method for removing video color noise in the embodiment of the present invention may include the following steps:

[0107] S301. Capture video data in response to a user operation.

[0108] In the embodiment of the present invention, the shooting device is provided with a light sensor, which can be used to detect the ambient light brightness value of the shooting scene that the shooting device is facing. Smart phones, smart tablets, personal electronic digital assistants, etc. with light sensors, and elect...

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Abstract

The embodiment of the invention discloses a method for removing image color noise, a method for removing video color noise and related devices. The method for removing image color noise comprises thefollowing steps: acquiring an ambient light brightness value when an image is shot; when the ambient light brightness value is smaller than a preset threshold value, guiding and filtering the chrominance value of the target pixel point according to the ambient light brightness value and the brightness value of the filtering window, and obtaining the brightness absolute error sum of the filtering window and the initial chrominance value of the target pixel point; calculating a target chromaticity value of the target pixel point based on the ambient light brightness value, the brightness absolute error sum, the initial chromaticity value and the original chromaticity value; and adjusting the chrominance value of the target pixel point to enable the adjusted chrominance value to be equal to the target chrominance value so as to remove color noise. Since the ambient light brightness value can perform prior estimation on the color noise level of the image, the chrominance loss caused by filtering is reduced, the brightness value of the filtering window is used for filtering, the original chrominance value is used for adjusting the initial chrominance value, and the chrominance of a non-color-noise area is protected while color noise is removed.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to a method for removing color noise in an image, a method for removing color noise in a video, and related devices. Background technique [0002] In the scene of video shooting or image shooting, the camera will produce obvious blocky color noise in the captured image or video in the scene where the ambient light is relatively dark. On the one hand, it has a negative impact on the video or image encoding and compression process, increasing the cost of data transmission. [0003] In order to obtain an image with better quality, it is necessary to remove the color noise in the image. In the prior art, filtering is usually used to remove the color noise. In order to reduce the impact on the non-noise area in the image based on the filtering denoising algorithm, various edge-preserving filtering algorithms are usually used, such as bilateral filteri...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N9/64
CPCH04N9/646
Inventor 杨敏
Owner BIGO TECH PTE LTD
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