Unlock instant, AI-driven research and patent intelligence for your innovation.

Self-adapting video image 3D denoise method

A video image, self-adaptive technology, applied in the field of video processing, to achieve the effect of small calculation, improve signal-to-noise ratio, and improve subjective visual quality

Inactive Publication Date: 2010-06-23
SICHUAN PANOVASIC TECH
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to overcome the deficiencies of the existing 3D noise reduction methods for video images and provide an adaptive 3D noise reduction method for video images

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
  • Self-adapting video image 3D denoise method
  • Self-adapting video image 3D denoise method
  • Self-adapting video image 3D denoise method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] In order to better understand the present invention, the present invention will be described in more detail below in conjunction with specific embodiments and accompanying drawings. In the following description, when detailed descriptions of existing prior art may obscure the subject matter of the present invention, such descriptions will be omitted here.

[0024] figure 1 It is a flow chart of a specific embodiment of an adaptive video image 3D noise reduction method.

[0025] In this embodiment, first, for the current frame f in the input video sequence k , the previous frame f k-1 , the next frame f k+1 Perform downsampling preprocessing respectively, and the current frame after downsampling g k Divided into macroblocks of equal size; then, the downsampled current frame g k The divided macroblocks in the previous frame g are respectively down-sampled k-1 and the next frame g k+1 As a reference frame, perform bidirectional motion estimation and search for its m...

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 self-adapting video image 3D denoise method. In the invention, noise standard deviation of real-time tracking video sequence is changed and motion estimation is then carried out after down-sampling so that not only is the influence of noise reduced but also the amount of calculation is greatly reduced and the motion intensity of matching micro blocks can be accurately ensured, for self-adaptively selecting time-domain filtering or air-domain filtering of current macro block; two-sided filtering is adopted in air-domain filtering, which can better reserve video content details with stronger motion intensity; front and back frames are adopted as reference frames which has better overcoming effect for exposure and shelter effects. The total method has smaller amountof calculation and good stability, which can efficiently improve signal to noise ratio and subjectively visual quality of digital video sequence and is very applied to real-time digital video sequence denoise.

Description

technical field [0001] The invention relates to the technical field of video processing, in particular to an adaptive video image 3D noise reduction method suitable for digital video image processing, digital video image transmission, digital video image display and the like. Background technique [0002] In recent years, the application of digital video has shown a rapid development trend. For example, today's video conferencing is the direct result of the improvement of video processing capabilities. Using digital video, compression algorithms can obtain higher compression ratios than analog video. The acquisition and transmission of digital video, the display of digital video, etc. are the main functions of the video application system. In these processes, various noises will inevitably be introduced. The sources of noise mainly include: the imaging process of the camera, the imaging circuit, the transmission channel, the terminal Show the circuit. The existence of noise...

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 Patents(China)
IPC IPC(8): H04N5/21
Inventor 田逢春龙红梅谭洪涛陈涛任晓羽黄扬帆
Owner SICHUAN PANOVASIC TECH