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Similarity transformation-based relocated image quality evaluation method

An image quality evaluation and relocation technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as not being able to reveal relationships well

Active Publication Date: 2018-04-20
NINGBO UNIV
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  • Description
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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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  • Similarity transformation-based relocated image quality evaluation method

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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 relocation image quality evaluation method based on similarity transformation proposed by the present invention, its overall realization block diagram is as follows figure 1 As shown, it includes the following steps:

[0032] 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 or I ret the height of.

[0033] ② Using the existing SIFT-Flow method to establish I org with I ret The matching relationship between, get I org The SIFT-Flow vector of each pixel in...

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Abstract

The invention discloses a similarity transformation-based relocated image quality evaluation method. The method comprises the following steps of: establishing a matching relationship between an original image and a relocated image so as to obtain a reconstructed relocated image; establishing a matching relationship between the relocated image and the original image so as to obtain a reconstructedoriginal image; obtaining a similarity transformation matrix of each quadrilateral mesh in the original image and the relocated image; obtaining a visual saliency map of each of the original image andthe relocated image; obtaining forward geometric distortion, backward geometric distortion, forward information loss and backward information loss according to above information; and finally fusing the forward geometric distortion, the backward geometric distortion, the forward information loss and the backward information loss so as to obtain an objective quality evaluation predicted value of the relocated image. The method has the advantage of effectively improving relevance between objective evaluation results and subjective perceptions.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to a relocation image quality evaluation method based on similarity transformation. 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 experi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/46G06K9/32
CPCG06T7/0002G06T2207/30168G06V10/25G06V10/462
Inventor 邵枫富振奇李福翠
Owner NINGBO UNIV
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