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Method for estimating noise of image in video and method for reducing noise of video

A noise estimation, technology in video, applied in the field of image processing, to achieve the effect of eliminating interference

Pending Publication Date: 2021-10-01
SENSLAB INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0009] The technical problem solved by the present invention is: when performing noise estimation, how to characterize the noise level more accurately for the situation where multiple types of noise are mixed, and at the same time, the algorithm will not be complicated due to the discussion of multiple noise types

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  • Method for estimating noise of image in video and method for reducing noise of video

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Embodiment 1

[0074] As described below, an embodiment of the present invention provides a method for estimating noise of an image in a video.

[0075] refer to figure 1 The flow chart of the method for estimating the noise of the image in the video is shown, and the specific steps are described in detail below:

[0076] The image noise model adopted in this embodiment is (formula 1):

[0077] u(i)=b(i)g(i)+n(i)

[0078] Among them, u(i) represents the noisy image, g(i) represents the theoretical noise-free image, b(i) represents the noise coefficient that changes with the change of pixel value, and n(i) represents the noise that has nothing to do with the pixel value.

[0079] The above model classifies all kinds of noise into two types: noise that changes with the change of pixel value and noise that has nothing to do with pixel value (which can be called multiplicative noise and additive noise), avoiding unnecessary noise of multiple noise types. discuss.

[0080] S101, using adjacen...

Embodiment 2

[0155] As described below, an embodiment of the present invention provides a video noise reduction method.

[0156] The difference from the prior art is that the video noise reduction method uses adjacent frame images in the video, and adopts the noise estimation method of the image in the video as provided in the embodiment of the present invention to perform noise on the image in the video estimate. Therefore, the video noise reduction method deepens the noise model, and classifies all kinds of noise into two types: noise that changes with the change of pixel value and noise that has nothing to do with pixel value, which can accurately characterize the noise level and avoid The algorithm is complicated by the discussion of multiple noise types.

[0157] Those of ordinary skill in the art can understand that in the various methods of the above-mentioned embodiments, all or part of the steps can be completed by hardware related to program instructions, and the program can be ...

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Abstract

The invention relates to a method for estimating noise of an image in a video and a method for reducing noise of the video, and the method for estimating the noise of the image in the video comprises the following steps of: for adjacent frame images in the video, abandoning blocks belonging to a motion area to obtain a transformed current frame image Icur1 and a transformed difference image Idif1; according to the transformed current frame image Icur1 and the transformed differential image Idif1, calculating to obtain a function relational expression of the brightness with respect to the noise level; performing adaptive neighborhood selection on the transformed current frame image Icur1, and determining selected pixels; and for each block, calculating a mean value of the corresponding pixel in the difference image Idif, and taking the mean value as a noise level. The noise model is deepened, all kinds of noise are uniformly classified into the noise changing along with the change of the pixel value and the noise irrelevant to the pixel value, the noise level can be accurately represented, and meanwhile algorithm complexity caused by discussion of various noise types is avoided.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for estimating noise of an image in a video and a method for reducing noise in a video. Background technique [0002] In the research of image denoising, video denoising, etc., how to accurately and quickly estimate the noise level of the current image is an important topic. A good estimate of the noise level can provide a good boost to the image denoising algorithm. [0003] In fact, many image denoising algorithms include noise estimation. In a large number of image denoising algorithm research papers, researchers usually use a simple "Gaussian noise added to a clean image as a noise image" as the research object of image denoising, and use the known noise intensity level as a threshold reference and denoising Parameters for noise intensity adaptation. This leads to a disadvantage: the noise model (mainly Gaussian noise) is simple, and the noise estimation ...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/50G06T7/254G06N3/04G06N3/08H04N5/21
CPCG06T5/50G06T7/254G06N3/08H04N5/21G06T2207/10016G06T2207/20084G06T2207/20224G06N3/045G06T5/70
Inventor 舒顺朋达声蔚
Owner SENSLAB INC
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