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Relocation image quality evaluation method

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 relationships well

Active Publication Date: 2018-11-13
深圳市梧欣桐德企业管理咨询合伙企业(有限合伙)
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  • Application Information

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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.

Method used

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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. According to the method, the influences of structure distortion and content loss on relocation are considered, a similarity transformation matrix is utilized to establish a transformation relation between an original image and a relocation image, the structure distortion under multiple scales is calculated according to the similarity transformation matrix, and the content loss under multiple scales is calculated according to the area change of a quadrangular grid; then support vector regression is utilized to train feature vectors composed of the structure distortion and the content loss under multiple scales in a training set, and a support vector regression training model is constructed; and at a test stage, the feature vectors of the relocation image in a test set are calculated, and an objective qualitative evaluation prediction value of the relocation image in the test set is obtained through prediction according to the support vector regression training model. Since the obtained feature vectors have high stability and can well reflect the quality change of the relocation image, the relevancy between an objective evaluation result and subjective perception is effectively improved.

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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IPC IPC(8): G06T5/00G06K9/46G06K9/62
CPCG06T5/00G06T2207/20081G06T2207/30168G06V10/462G06F18/22
Inventor 邵枫富振奇李福翠
Owner 深圳市梧欣桐德企业管理咨询合伙企业(有限合伙)
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