Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Motion self-adaptive de-interlacing method based on visual characteristics

A visual characteristic, self-adaptive technology, applied in image data processing, standard conversion, instruments, etc., can solve the problem of not considering visual characteristics, etc.

Inactive Publication Date: 2011-10-12
SUN YAT SEN UNIV
View PDF3 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, the above-mentioned de-interlacing algorithm basically does not consider human visual characteristics. In fact, the human eye is less sensitive to motion in areas with high and low brightness than areas with moderate brightness. Therefore, the pixels with higher and lower brightness Threshold should be smaller than moderately bright areas

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
  • Motion self-adaptive de-interlacing method based on visual characteristics
  • Motion self-adaptive de-interlacing method based on visual characteristics
  • Motion self-adaptive de-interlacing method based on visual characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] The present invention will be further elaborated below in conjunction with the accompanying drawings.

[0059] Such as figure 1 , figure 2 and image 3 As shown, the motion adaptive deinterlacing method based on visual characteristics of the present invention comprises:

[0060] 1) Continuously store five fields of interlaced video information, perform motion detection on the five fields of interlaced video, add the left and right points of each pixel to the motion detection to form a FIR filter, and obtain the motion detection value MV.

[0061] 2) According to the motion detection value MV, the interpolation coefficient α is obtained by using a dynamic double-threshold method.

[0062] 3) The edge difference algorithm is used to obtain intra-field interpolation, and the improved three-point median filter method is used to obtain inter-field interpolation.

[0063] 4) According to the interpolation coefficient α, the results of intra-field interpolation and inter-...

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 provides a motion self-adaptive de-interlacing method based on visual characteristics, comprising the following steps of: (1) continuously storing five interlaced rows of videos, and joining a left point and a right point of each pixel point into motion detection to form an FIR (Finite Impulse Response) filter so as to obtain a motion detection value MV; (2) acquiring an interpolation coefficient alpha according to the motion detection value MV by adopting a dynamic double-threshold-value method; (3) acquiring an intra-field interpolation by adopting an edge difference value, and acquiring an inter-field interpolation by adopting an improved three-point median filtering method; (4) carrying out self-adaptive interpolation on a point to be interpolated according to the results of the interpolation coefficient alpha, the intra-field interpolation and the inter-field interpolation, and finally interlacing with existing lines of a current field to realize line-by-line output. According to the motion self-adaptive de-interlacing method provided with the invention, the low-pass FIR filter is added, and therefore, the motion loss inside a moving object is prevented and noises are effectively reduced; a double-threshold-value dynamic regulating method based on a brightness value is introduced according to the visual characteristics of human eyes, and therefore the subjective effect of de-interlacing is enhanced; and different inter-field interpolation methods are introduced for different pixel points, and therefore the interpolation accuracy of slowly moving pixels is enhanced.

Description

technical field [0001] The invention belongs to the technical field of video image processing, and in particular relates to a motion adaptive deinterlacing method based on visual characteristics by using intra-field interpolation and inter-field interpolation. Background technique [0002] Due to the lack of advanced technology in the early days, a lot of interlaced video technology was used, especially in television systems, the video frame was divided into two fields, and each field included interlaced scan lines. The current three major analog color TV systems PAL, NTSC and SECAM all use interlaced scanning. Digital TV, on the other hand, uses progressive scanning. [0003] At present, flat panel display technology has become the mainstream. Due to the disadvantages of interlaced scanning: flicker, picture jitter, edge jagged, etc., flat panel display technology basically adopts progressive scanning display devices, such as liquid crystal displays. When displaying inter...

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): H04N7/01G06T7/20
Inventor 庞志勇陈弟虎谭洪舟雷东玮江嘉文
Owner SUN YAT SEN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products