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Method for judging quality of image

A technology of image quality discrimination and image quality, applied in the field of intelligent perception, can solve the problems of multiple image content, changeable, and unsatisfactory effects in images, and achieve the effects of stable grading features, convenient application, and reduced bandwidth

Active Publication Date: 2010-12-29
SHENZHEN ZTE NETVIEW TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current no-reference algorithm cannot get rid of the influence of image content on its evaluation results
[0010] However, due to the many factors that interfere with the image and the changeable image content, the above image processing methods cannot achieve satisfactory results.

Method used

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] Embodiment 1: On the matlab7.1 platform, the matlab programming language is used to carry out simulation experiments, and the pictures in various environments are processed, including three situations: blurred images, large amounts of white noise, and clear images.

[0046] The specific process is described as follows (see figure 2 ):

[0047] Step 1. Two-dimensional wavelet decomposition: select the haar wavelet base to decompose the image into n layers (n=3 in the experiment);

[0048] Step 2. Quantize the nth layer diagonal subband HH subband coefficients after the high frequency wavelet transform: the subband coefficients are quantized to the space [0 255], and the quantization formula is:

[0049] F ( i , j , n ) = ( HH ( i , ...

Embodiment 2

[0070] Embodiment 2: In vs2005, opencv1.0 environment programming realizes the image quality analysis dynamic library, and adds it to the server side in the video monitoring system. like image 3 As shown, in a networked video surveillance system, the video server is connected to multiple video encoders through the network, and one encoder is connected to multiple cameras. The video server regularly starts the image quality analysis module, performs quality analysis on the image information of multiple cameras, and summarizes and outputs the analysis results.

[0071] according to figure 2 As shown in the process, performing quality analysis on the image information can also obtain satisfactory quality analysis results.

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Abstract

The invention discloses a method for judging the quality of an image. The image is subjected to multilayer wavelet decomposition and each layer of high-frequency sub-band HH(n) is subjected to band-pass analysis, so the quality of the image can be effectively distinguished. The whole image quality evaluation is divided into the following five processing links of: performing wavelet decomposition on a two-dimensional image; quantizing high-frequency wavelet coefficients; counting histograms of wavelet quantization coefficients; calculating image quality evaluation coefficients; and grading the quality of the image. A reference image does not need to be introduced in the process of evaluating the quality of the image, so application is more convenient; and the selection of a grading threshold value is independent of the content of the image, grading characteristic is stable and adaptability is higher.

Description

technical field [0001] The invention belongs to an intelligent perception technology in the field of digital image processing, specifically a method for discriminating image quality. The method adopts the method of statistical analysis of image wavelet coefficients to automatically grade the image quality. In terms of intelligent video analysis Has a wide range of applications. Background technique [0002] In the field of automatic image recognition and intelligent video analysis, the working environment of the image recognition system is often changeable and unstable, and some low-quality images will be received. These low-quality images refer to: images containing a lot of noise and blurred. It is mainly caused by unreasonable camera focal length adjustment, insufficient light, electronic interference, etc. These interferences will affect the normal operation of the system, and even seriously affect the system recognition effect. Therefore, detecting disturbed images is ...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 张巍向稳新苏鹏宇
Owner SHENZHEN ZTE NETVIEW TECH
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