Video image noise reduction method and device and computer readable storage medium

A technology for video images and storage media, applied in the field of image noise reduction, can solve the problems of low noise and inability to accurately estimate the noise reduction efficiency of real signal images, and achieve the effect of improving noise reduction efficiency

Active Publication Date: 2018-03-09
SHENZHEN TCL NEW-TECH CO LTD
View PDF7 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide a video image noise reduction method, which aims to solve the technical problem that the real signal image cannot be accurately estimated during video noise reduction, resulting in low noise reduction efficiency

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 image noise reduction method and device and computer readable storage medium
  • Video image noise reduction method and device and computer readable storage medium
  • Video image noise reduction method and device and computer readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0036] The main solution of the embodiment of the present invention is: acquire the target video, and perform image block matching on the frame image of the target video; extract the pixel points at the same position of the image block and the corresponding matching image block, and calculate the pixel point The Euclidean distance between; when the Euclidean distance is greater than the preset threshold, obtain the structural tensor of the image block where the pixel is located, and calculate the structural weight of the image block; Adaptive weighted filtering is performed on the image block and the corresponding matching image block to perform noise reduction on pixels in the image block and the corresponding matching image block.

[0037] Because the noise in the video in the prior art will cause the visual quality...

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 invention discloses a video image noise reduction method. The method comprises the steps of obtaining a target video, and performing image block matching on frame images of the target video; extracting image blocks and pixel points of the corresponding matched image blocks at the same position, and calculating the Euclidean distance between the pixel points; when the Euclidean distance is larger than a preset threshold value, obtaining the structure tensor of the image blocks where the pixel points are located, and calculating the structure weight of the image blocks; by performing self-adaption weighted filtering on the image blocks and the corresponding matched image blocks through the structure weight, adopting the pixel points in the image blocks and the corresponding matched imageblocks for performing noise reduction. The invention further discloses a video image noise reduction device and a computer readable storage medium. By adding the self-adaption weighted filtering noise reduction operation, the images can accurately estimate actual image signals during noise reduction, and the advantage of improving the video image conversion efficiency is achieved.

Description

technical field [0001] The present invention relates to the field of image noise reduction, in particular to a video image noise reduction method, device and computer-readable storage medium. Background technique [0002] As digital video technology is widely used in people's daily life, the demand for video image noise reduction technology is becoming more and more urgent. Noise in video images generally refers to unwanted or unwanted elements or artifacts present in video images. There are many sources of noise, for example, shot noise generated by hardware, video shooting environment noise, channel noise, etc. The presence of noise not only reduces the visual quality of video, but also reduces the compressibility of media files. The purpose of video denoising is to estimate the real image signal as accurately as possible, enhancing its visual effect and compressibility. [0003] Among the currently existing video image noise reduction methods, some are directly extende...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/21
CPCH04N5/21
Inventor 吴佳飞赖长明陈铭良
Owner SHENZHEN TCL NEW-TECH CO 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