An HDR video preprocessing method

A technology for preprocessing and video, applied in the field of video coding, it can solve the problems of loss of details, large quantization step used, and high complexity, and achieve the effect of small distortion, small quantization step, and good subjective quality.

Active Publication Date: 2018-10-12
HANGZHOU ARCVIDEO TECHNOLOGY CO LTD
View PDF12 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional saliency detection is usually processed based on the R, G, and B components of the image, and the complexity is high, which is not suitable for efficient real-time video processing. Therefore, how to perform fast saliency detection is a necessary means for perceptual video coding
[0011] The existing PQ model only considers the influence of absolute brightness on perceptual redundancy, and does not consider the area of ​​human visual attention. If the absolute brightness of the area of ​​human visual attention is small, the quantization step size used is also large, making details more serious loss

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
  • An HDR video preprocessing method
  • An HDR video preprocessing method
  • An HDR video preprocessing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The present invention will be further described below in combination with specific embodiments.

[0045] A kind of HDR video preprocessing method, comprises the steps:

[0046] Step 1: In the YUV domain, fast saliency detection is performed for the video characteristics of HDR's wide brightness and wide color gamut, so that highlighted areas and areas with obvious colors can be further distinguished;

[0047]Specifically take the following steps:

[0048] (1) Extract the luminance saliency value L for the luminance component Y Sal (i):

[0049] L Sal (i)=|Y(i)-Y Avg |

[0050] Among them: i represents the i-th pixel in the current frame, Y(i) represents the brightness value of the i-th pixel in the current frame, Y Avg Represents the average brightness of all pixels in the current frame;

[0051] (2) Extract the chroma saliency value C for the chrominance components U and V Sal (i):

[0052] C Sal (i)=|U(i)-U Avg |+|V(i)-V Avg |

[0053] Among them: U(i) re...

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 HDR (High Dynamic Range) video preprocessing method. The HDR video preprocessing method comprises the following steps of: (1) in a YUV range, for video characteristics of a wide brightness and a wide color gamut of a HDR, carrying out rapid significance detection so as to further distinguish a high-brightness region and a region obvious in color; and (2) constructing a significance-perception quantification function, fusing significance characteristics with an existing perception quantification model, so that a quantification step size when a relatively significant region in a video is quantified is smaller, and more rich image details are reserved. The HDR video preprocessing method has the beneficial effects that the quantification step size used when the region obvious in bright and color in the HDR video is quantified is smaller, distortion is relatively small, subjective quality is higher, and more completed image details are reserved, so that integral video quality further accords with the human eye perception characteristics.

Description

technical field [0001] The present invention relates to the technical field related to video coding, in particular to an HDR video preprocessing method. Background technique [0002] With the rapid development of video image technology, people have higher and higher requirements for video viewing experience. Key words such as 3D, 4K, wide viewing angle and HDR (High Dynamic Range) have become hot spots in the TV market. Compared with traditional SDR (Standard Dynamic Range, standard dynamic range) TVs, HDR TVs can display wider brightness and more colors, and show the real content of the video more abundantly, which is very shocking to the human eye . [0003] The color gamut standard used by traditional SDR video is BT.709, which may cause highlight overflow (loss of highlight details to ensure normal exposure of dark parts)) or shadow clipping (loss of dark part details to ensure normal exposure of high-brightness scenes) , while the color gamut standard ST.2084 in HDR ...

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): H04N17/00H04N19/154H04N19/186
CPCH04N17/004H04N19/154H04N19/186
Inventor 廖义黄进王建伟
Owner HANGZHOU ARCVIDEO TECHNOLOGY 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