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A Method of Relocation Image Quality Evaluation

An image quality evaluation and relocation technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of not being able to reveal the relationship well, and achieve the effect of improving correlation and strong stability

Active Publication Date: 2021-04-27
深圳市领鲲信息科技有限公司
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Problems solved by technology

However, relocalized images are obtained by different relocalization operations, and the existing methods for evaluating the quality of relocalized images cannot reveal the relationship between the two well.

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  • A Method of Relocation Image Quality Evaluation

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Embodiment Construction

[0023] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0024] A relocation image quality evaluation method proposed by the present invention, its overall realization block diagram is as follows figure 1 As shown, it includes the following steps:

[0025] Step 1: Order I org represents the original image, let I ret means I org The corresponding relocated image; the I org The pixel value of the pixel point whose coordinate position is (x, y) is recorded as I org (x,y), will I ret The pixel value of the pixel point whose coordinate position is (x', y) is recorded as I ret (x',y); among them, 1≤x≤W, 1≤y≤H, 1≤x'≤W', W means I org The width, W' means I ret The width, H means I org and I ret the height of.

[0026] Step 2: Use the existing SIFT-Flow (Scale-Invariant Feature Transform Flow, scale-invariant feature transform flow) method to establish I org with I ret The matching relationship ...

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Abstract

The invention discloses a relocation image quality evaluation method, which considers the influence of structural distortion and content loss on relocation, uses the similarity transformation matrix to establish the transformation relationship between the original image and the relocation image, and calculates the Structural distortion at multiple scales, and calculate the content loss at multiple scales according to the area change of the quadrilateral grid, and then use support vector regression to train the feature vector composed of structural distortion and content loss at multiple scales in the training set, Construct a support vector regression training model; in the test phase, by calculating the feature vector of the relocation image in the test set, and according to the support vector regression training model, the objective quality evaluation prediction value of the relocation image in the test set is predicted. The vector has strong stability and can better reflect the quality change of the relocation image, thus effectively improving the correlation between the objective evaluation result and the subjective perception.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to a relocation image quality evaluation method. Background technique [0002] With the rapid development and upgrading of terminal display devices (such as smart phones, tablet computers, TVs, etc.), terminal display devices with different resolutions and screen aspect ratios are flooding people's work and life. When the resolution of the image or video to be displayed does not match the resolution of the screen, how to change the resolution of the image or video to adapt to terminal display devices of different sizes without changing the viewing experience of the user as much as possible? It's a retargeting problem. Current methods to solve the relocation problem include scaling, cropping, and warping. However, these relocation methods do not take full advantage of the size advantage of the terminal display device and reduce the user experience effect. Therefore, it is neces...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06K9/46G06K9/62
CPCG06T5/00G06T2207/20081G06T2207/30168G06V10/462G06F18/22
Inventor 邵枫富振奇李福翠
Owner 深圳市领鲲信息科技有限公司
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