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Novel no-reference image blur degree estimation method

A blur estimation and reference image technology, which is applied in image analysis, image data processing, calculation, etc., can solve the problem that the blur degree cannot reach the best level, and achieve the effect of reducing the amount of calculation

Inactive Publication Date: 2014-12-10
COMMUNICATION UNIVERSITY OF CHINA
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0007] However, the degree of blurring of the image is obviously not only related to the width of the edge. The result of blurring estimation based solely on the width of the edge is not the best.

Method used

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Experimental program
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Embodiment Construction

[0045] In order to compare the performance of the inventive method and other methods, the test uses the LIVE image database as the test image, with MATLAB7.0 as the implementation platform, computer memory 4GB, and the processor is Intel(R) Core(TM) i5-2400 CPU3.10GHz. To calculate the length of an edge, this method defines a line called an edgeline. An edge line is a collection of a group of adjacent edge points. And the edge points (except the two end points) on the edge line have and only have two adjacent edge points, this definition ensures that the edge line obtained by segmentation has no bifurcation and the method is simple.

[0046] The specific implementation steps of this method in MATLAB are as follows: (the implementation method of the function used in the steps will be given below)

[0047] Step 1: Define global variables, read image data and preprocess it:

[0048] Define the matrix EdgeMap with a size of 512x512 to store edge images. EdgeMap(i,j) is 1, point...

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Abstract

The invention discloses a novel no-reference image blur degree estimation method, relates to the field of pixel domain no-reference image quality estimation in image processing, and particularly relates to a no-reference image blur degree estimation method based on image edge length and image edge width. By the method of estimating the image blur degree by means of the image edge length and the image edge width, blur degrees of various images are estimated accurately. According to the method, edge images are simply and effectively segmented into independent image lines. Compared with conventional methods of calculating the edge width, the method has the advantage that the amount of calculation is effectively reduced as the edge width is calculated at intervals of multiple points. Edge direction is judged according to positions of adjacent edge points, and the edge width is calculated along the direction perpendicular to the edge. Compared with existing better estimation methods based on the edge gradient and the edge width, the method has the advantage that the degree of fitting is obviously increased.

Description

technical field [0001] The invention relates to the field of no-reference image quality evaluation in the pixel domain, in particular to a no-reference image fuzziness estimation method based on image edge length and edge width. Background technique [0002] With the continuous development of network multimedia technology, people can easily obtain massive visual information such as images and videos through various channels. However, an image or a video watched by people has often been processed in many stages, and each stage of processing may introduce image distortion. For example, when capturing video from a camera image, it is often affected by noise, inaccurate focus, and camera movement. In order to save transmission bandwidth and storage space, the captured video will be compressed, which will also produce certain distortion. Due to channel limitations, image or video data will also be distorted due to packet loss and delay during transmission. [0003] Therefore, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 马小雨姜秀华
Owner COMMUNICATION UNIVERSITY OF CHINA