3D drawn image objective quality evaluation method based on stereoscopic vision attention mechanism and structural similarity

A technology for drawing images and stereoscopic vision, applied in stereoscopic systems, image communication, television, etc., can solve problems such as ineffective image quality evaluation methods, and achieve high correlation effects

Inactive Publication Date: 2014-12-24
TONGJI UNIV
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Problems solved by technology

This situation makes the traditional 3D rendering image quality evaluation method ineffective

Method used

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  • 3D drawn image objective quality evaluation method based on stereoscopic vision attention mechanism and structural similarity
  • 3D drawn image objective quality evaluation method based on stereoscopic vision attention mechanism and structural similarity
  • 3D drawn image objective quality evaluation method based on stereoscopic vision attention mechanism and structural similarity

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Embodiment Construction

[0027] Below in conjunction with accompanying drawing, the present invention will be further described with specific example:

[0028] The example that the present invention provides adopts MATLAB R2010a as the simulation experiment platform, uses the bmp gray scale image Midd of 1396 * 1110 as the selected test image, describes this example in detail below in conjunction with each step:

[0029] Step (1), select the size of 1396×1110, the original color and original depth image in bmp format as the input image, and draw it as a reference virtual viewpoint image for reference.

[0030] In step (2), SIFT points are extracted from the original color image and the reference virtual viewpoint image respectively:

[0031] In step (3), using the eigenvalues ​​of the SIFT points obtained in step (2), a matching relationship between SIFT points is established to form a pair of matching points. In order to reduce the error, outliers were removed. When the following formula is met, the ...

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Abstract

The invention discloses a 3D drawn image objective quality evaluation method based on a stereoscopic vision attention mechanism and structural similarity and relates to the technical field of image quality evaluation. The position relation between an original reference image and a 3D drawn image is obtained in a matching mode through an SIFT (scale-invariant feature transform) model, and multiple concrete distortions such as the compression distortion, the transmission distortion and the drawing distortion are measured through an SSIM model. The stereoscopic vision attention mechanism of a human eye vision system is reflected by drawing a 3D saliency map of the image through calculation, the saliency average value of all SIFT matching windows is worked out to serve as the saliency factor, the saliency factor serves as the weight of each window to perform weighted summation on all SSIM values, and then the final quality evaluation result is obtained. The result shows that the objective quality evaluation method is highly relevant to the subjective feeling.

Description

technical field [0001] The invention relates to the technical field of image quality evaluation. technical background [0002] Image quality assessment methods can be roughly divided into two categories: the first category is subjective quality assessment methods, and many standards have been formulated, such as document 1 (see International Telecommunication Union (ITU) Radio communication Sector: 'Methodology for the subjective assessment of the quality of television pictures', ITU-R BT.500-11, January 2002). These standards require ordinary observers with no prior experience to observe the images to be evaluated (and in some cases the original images as references) under standard conditions and then rate the quality of these images. However, since the subjective quality evaluation method requires a strict test environment and a considerable number of observers, it is time-consuming and labor-intensive, so it cannot be applied in real time, and is often used in laboratory...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N17/00H04N13/00
Inventor 张冬冬黄佳禾臧笛刘典陈艳毓
Owner TONGJI UNIV
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