A highly-clear video image quality evaluation method and device based on self-adapted ST area
A technology for image quality evaluation and high-definition video, applied in the field of high-definition video image quality evaluation, can solve problems such as large screen size, no more consideration of visual attention characteristics and limitations of perception, and poor use of high-definition video data volume. Achieve the effect of reducing data volume and high consistency
Inactive Publication Date: 2008-03-19
COMMUNICATION UNIVERSITY OF CHINA
View PDF0 Cites 22 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0011] At present, the image quality evaluation algorithm based on standard definition video does not make good use of the characteristics of high definition video (large data volume, large picture size, rich colors, etc.), and does not take into account people's visual attention characteristics and perception when watching videos. limitation
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0036] The specific implementation manners of the present invention will be described below in conjunction with the accompanying drawings.
[0037] Fig. 3 is a schematic structure diagram of a method for defining an ST region according to the present invention. Referring to FIG. 3 , for different video sequences, different ST regions, that is, adaptive ST regions, are generated according to video content. The full name of the ST region is Spatial-Temporal Sub-Region, that is, the space-time sub-region. This is a technique in an objective evaluation method based on reduced reference frames. The entire video stream can be regarded as image frames played at a certain rate. The image itself is a two-dimensional space, and the time dimension is added to form a three-dimensional space (the video sequence on the left of Figure 3). Before processing the data of this three-dimensional space, we divide it into adjacent three-dimensional subspaces, in which the original image space is ...
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
Login to View More Abstract
The invention relates to a quality evaluation method and a device of high-definition video images, which are based on a self-adaptive ST region (space-time sub-region). The input terminal of a self-adaptive ST region definition module is connected with an original video sequence and a damaged sequence to be detected and defines the self-adaptive ST region according to the content of the original video. A self-adaptive ST region partitioning module rates the criteria according to the defined ST region and divides the self-adaptive ST regions on the original sequence and the damaged sequence respectively, as a base for characteristic parameter extraction. A characteristic parameter extraction module, based on the divided ST regions, extracts the characteristic parameters (including space information, time information and space-time mixed information) from the original sequence and the damaged sequence respectively, so as to obtain the characteristic parameter groups corresponding to the original sequence and the damaged sequence. A quality defect degree calculation module, after the comparison of the characteristic parameter groups obtained by the characteristic parameter extraction module, calculates the difference value of the input sequences, thereby completing the measurement of quality defect degree.
Description
technical field [0001] The invention relates to a method and device for evaluating the quality of high-definition video images, in particular to a method and device for evaluating the quality of high-definition video images by using an adaptive ST area. Background technique [0002] High-definition television (HDTV) is the most advanced business form of digital television at present, and has the advantages of high definition, large picture size, bright colors, and strong sense of presence. With the continuous development of digital video compression technology, high-definition video has also been widely used in daily life. Especially in recent years, with the emergence of high-definition TV programs and the development of video compression codec technology, digital high-definition image quality evaluation has gradually become a hot topic in research. [0003] Traditional image / video quality evaluation methods can be divided into two categories: subjective evaluation and obj...
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
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/26H04N7/015
Inventor 孟放姜秀华章文辉孙慧杨爽许江波
Owner COMMUNICATION UNIVERSITY OF CHINA