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A No-Reference Image Objective Quality Assessment Method Based on Structural Distortion

A technology of reference image and objective quality, applied in image analysis, image enhancement, image data processing, etc., can solve the problem of inability to obtain original images

Active Publication Date: 2019-05-17
嘉兴智旭信息科技有限公司
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Problems solved by technology

Objective evaluation methods can be divided into three categories: full-reference image quality evaluation methods, semi-reference image quality evaluation methods, and no-reference image quality evaluation methods. Therefore, the research of no-reference image quality evaluation method is more practical

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  • A No-Reference Image Objective Quality Assessment Method Based on Structural Distortion
  • A No-Reference Image Objective Quality Assessment Method Based on Structural Distortion

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Embodiment Construction

[0030] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0031] A method for evaluating the objective quality of an image without reference based on structural distortion proposed by the present invention, its overall realization block diagram is as follows figure 1 As shown, it includes the following steps:

[0032] ① make {I d (i,j)} represents the distorted image to be evaluated, where 1≤i≤W, 1≤j≤H, W represents {I d The width of (i,j)}, H means {I d (i,j)} height, I d (i,j) means {I d The pixel value of the pixel whose coordinate position is (i, j) in (i, j)}.

[0033] ② Utilize the existing eight filters in different directions to respectively pair {I d (i,j)} implements first-order filtering to get {I d (i,j)} first-order filtered images in eight different directions, the {I d (i,j)} The first-order filtered image in the direction of θ is denoted as Among them, the eight filters in d...

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Abstract

The invention discloses a reference-free objective image quality evaluation method based on structural distortion. It first obtains the first-order filtered image of the distortion image to be evaluated in eight different directions and in no direction, and then obtains the first-order filtered image. The maximum value image; and obtain the second-order filtered image of the distortion image to be evaluated in eight different directions and in no direction, and then obtain the maximum value image of the second-order filtered image; then obtain the maximum value image of the first-order filtered image, The local pattern feature images of the second-order filtered image and the maximum value image of the second-order filtered image in eight different directions and in no direction are obtained, and then their respective histogram statistical feature vectors are obtained; and then the support vector regression is obtained based on the construction Train the model, test all histogram statistical feature vectors, and predict the objective quality evaluation prediction value; the advantage is that it can effectively improve the correlation between the objective evaluation results and subjective perception.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to an objective quality evaluation method based on structure distortion without reference image. Background technique [0002] Image is an important way for human beings to obtain information. Image quality indicates the ability of image to provide information to people or equipment, and is directly related to the adequacy and accuracy of the information obtained. However, in the process of image acquisition, processing, transmission and storage, due to various factors, there will inevitably be degradation problems, which brings great difficulties to information acquisition or post-processing of images. Therefore, it is very important to establish an effective image quality evaluation mechanism. For example, it can be used for performance comparison and parameter selection of various algorithms in image denoising, image fusion and other processing processes; it can be used to gu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T5/00
CPCG06T7/0002G06T2207/30168G06T5/73
Inventor 周武杰顾鹏笠张爽爽潘婷蔡星宇邱薇薇周扬赵颖陈芳妮陈寿法
Owner 嘉兴智旭信息科技有限公司
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