Video denoising method and device, mobile terminal and storage medium

A video and motion technology, applied in the field of video processing

Active Publication Date: 2020-08-18
BIGO TECH PTE LTD
View PDF9 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Embodiments of the present invention provide a video denoising method, device, mobile terminal and storage medium to so

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Video denoising method and device, mobile terminal and storage medium
  • Video denoising method and device, mobile terminal and storage medium
  • Video denoising method and device, mobile terminal and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] figure 1 It is a flow chart of a video denoising method provided by Embodiment 1 of the present invention. This embodiment is applicable to calculating the motion probability of a single point by dividing video data into blocks with various types of scales, so as to perform 3DNR. This method can It is performed by a video denoising device, which can be implemented by software and / or hardware, and can be configured in a mobile terminal, such as a mobile phone, a tablet computer, a smart wearable device (such as a smart watch, etc.), etc., the The method specifically includes the following steps:

[0038] S101. Acquire original image data and reference image data in video data.

[0039] In this embodiment, the acquired video data is video data waiting for denoising, and the video data waiting for denoising generally refers to video data generated, transmitted or played in real-time business scenarios.

[0040] Generally speaking, denoising processing is performed on the...

Embodiment 2

[0067] image 3 It is a flow chart of a video denoising method provided by Embodiment 2 of the present invention. Based on the foregoing embodiments, this embodiment further refines the processing operations of block processing, calculation of target motion probability and 3DNR. The method specifically includes Follow the steps below:

[0068] S301. Acquire original image data and reference image data in video data.

[0069] Wherein, the original image data is the image data of the current frame to be denoised, and the reference image data is the denoised image data of the previous frame.

[0070] S302. For a scale whose type is quantity, determine one or more first target values.

[0071] In this embodiment, the number is used as the way to divide the blocks, that is, the image data (original image data, reference image data) is divided into a specified number of blocks (original image blocks, reference image blocks), and for this number, one or A plurality of first target...

Embodiment 3

[0193] Figure 8 A schematic structural diagram of a video denoising device provided in Embodiment 3 of the present invention, the device may specifically include the following modules:

[0194] The image data acquisition module 801 is used to acquire original image data and reference image data in the video data, the original image data is the image data to be denoised in the current frame, and the reference image data is the denoised image of the previous frame data;

[0195] An image data block module 802, configured to divide the original image data into original image blocks and the reference image data into reference image blocks in multiple types of scales;

[0196] A target motion probability calculation module 803, configured to calculate the target motion probability between the original image data and the reference image data according to the original image block and the reference image block under various types of scales;

[0197] A three-dimensional denoising pr...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The embodiment of the invention discloses a video denoising method and device, a mobile terminal and a storage medium, and the method comprises the steps: obtaining original image data and reference image data in video data, the original image data being to-be-denoised image data of a current frame, and the reference image data being denoised image data of a previous frame; dividing the original image data into original image blocks according to multiple types of scales, and dividing the reference image data into reference image blocks; calculating a target motion probability between the original image data and the reference image data according to the original image blocks and the reference image blocks under various types of scales; and performing three-dimensional denoising processing on the original image data according to the target motion probability and the reference image data to obtain target image data. According to the embodiment of the invention, the performance and effectof three-dimensional denoising processing are considered, and real-time three-dimensional denoising processing can be realized under the condition that the performance of a mobile terminal and the like is limited.

Description

technical field [0001] Embodiments of the present invention relate to video processing technologies, and in particular, to a video denoising method, device, mobile terminal and storage medium. Background technique [0002] With the rapid development of mobile Internet and mobile terminals, video data in mobile terminals has become a commonly used information carrier in human activities, such as live broadcast, video calls, etc. They contain a large amount of information about objects and become a way for people to obtain original information from the outside world one. [0003] Due to factors such as sensors, transmission, and storage, most of the currently collected video data will be noisy, especially in dark and light environments, which reduces the user's subjective evaluation of the quality of video data. [0004] Among them, noise can be understood as a factor that hinders people's sensory organs from understanding the received information, manifested as random change...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04N5/21H04N21/2187H04N21/44H04N21/4788H04N7/15
CPCH04N5/21H04N21/2187H04N21/44H04N21/4788H04N7/15
Inventor 杨敏杜凌霄
Owner BIGO TECH PTE LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap