Video denoising method and calculation equipment

A video and video acquisition technology, applied in the field of image processing, can solve problems such as blurred edges, difficulty in effectively removing image noise, and inability to solve time-domain flicker noise well

Active Publication Date: 2017-12-08
XIAMEN MEITUZHIJIA TECH
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Problems solved by technology

[0003] At present, the mainstream processing method is to perform bilateral filtering in the spatial domain and mean filtering in the time domain. However, the disadvantage of this method is that it cannot guarantee the consistency of the filtering strength of adjacent frames of the video. The intensity of the filter is inconsistent and flickering occurs
Among them, even if the average filter is used, it cannot solve the flicke

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  • Video denoising method and calculation equipment
  • Video denoising method and calculation equipment
  • Video denoising method and calculation equipment

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Embodiment Construction

[0055] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0056] figure 1 A structural block diagram of a computing device 100 according to an exemplary embodiment of the present invention is shown. The computing device 100 can be implemented as a server, such as a file server, a database server, an application program server, and a WEB server, etc., and can also be implemented as a personal computer including a desktop computer and a notebook computer. Additionally, computing device 100...

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Abstract

The invention discloses a video denoising method. The method includes the steps of obtaining at least one adjacent frame of a frame to be denoised in a video sequence; performing time domain denoising on each pixel point of the frame to be denoised, the time domain denoising including the steps of, for each adjacent frame of the frame to be denoised, obtaining matched pixel points of the pixel points of the frame to be denoised on the adjacent frame, and calculating the weights of the matched pixel points; and based on the weights of the obtained matched pixel points of the pixel points of the frame to be denoised on each adjacent frame, calculating the weighted average of the pixel points of the frame to be denoised and the matched pixel points thereof, so as to obtain pixel values of the pixel points of the frame to be denoised after time domain denoising. The invention also discloses corresponding calculation equipment and a computer storage medium.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a video denoising method and computing equipment. Background technique [0002] In the application scenario of image or video acquisition, the acquired image will inevitably have signal noise. For example, pictures or videos taken in scenes such as night usually have relatively obvious noise. Image denoising is a very important link in image processing (single image processing or video frame sequence processing). The main problem of denoising is how to effectively remove the temporal domain and spatial domain noise while effectively preserving the boundary texture details of the image from being destroyed. [0003] At present, the mainstream processing method is to perform bilateral filtering in the spatial domain and mean filtering in the time domain. However, the disadvantage of this method is that it cannot guarantee the consistency of the filtering strength of adja...

Claims

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Application Information

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IPC IPC(8): H04N5/213H04N19/80
CPCH04N5/213H04N19/80
Inventor 周星光程安张伟傅松林洪炜冬
Owner XIAMEN MEITUZHIJIA TECH
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