No-reference fuzzy distorted stereo image quality evaluation method

A stereoscopic image, fuzzy distortion technology, applied in image analysis, image data processing, character and pattern recognition, etc., can solve the problems of unsuitable application occasions and high computational complexity, and achieve the effect of reducing computational complexity and good consistency

Active Publication Date: 2014-09-10
创客帮(山东)科技服务有限公司
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Problems solved by technology

The current no-reference quality evaluation usually uses machine learning to predict the evaluation model, which has high computational complexity, and the train

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  • No-reference fuzzy distorted stereo image quality evaluation method
  • No-reference fuzzy distorted stereo image quality evaluation method
  • No-reference fuzzy distorted stereo image quality evaluation method

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Embodiment Construction

[0044] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0045] A method for evaluating the quality of a three-dimensional image without reference fuzzy distortion proposed by the present invention, its overall realization block diagram is as follows figure 1 As shown, it includes two processes of training phase and testing phase: in the training phase, multiple original undistorted stereo images and corresponding blurred and distorted stereo images are selected to form a training image set, and then the dictionary training operation is performed using the Fast-ICA method, Construct the visual dictionary table of each image in the training image set; by calculating the distance between each original undistorted stereo image in the training image set and the visual dictionary table of the corresponding fuzzy and distorted stereo image, construct the visual dictionary table of each pair of distorted st...

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Abstract

The invention discloses a no-reference fuzzy distorted stereo image quality evaluation method, which comprises the following steps: in a training stage, selecting a plurality of undistorted stereo images and corresponding fuzzy distorted stereo images to form a training image set; then, carrying out a dictionary training operation by a Fast-ICA (independent component analysis) method, and constructing a visual dictionary table of each image in the training image set; constructing the visual quality table of the visual dictionary table of each distorted stereo image by calculating a distance between the visual dictionary table of each undistorted stereo image and the visual dictionary table of each corresponding fuzzy distorted stereo image; in a testing stage, for any one tested stereo image, carrying out non-overlapping partitioning processing to a left sight point image and a right sight point image of the tested stereo image; and according to the constructed visual dictionary table and the constructed visual quality table, obtaining an objective evaluation prediction value of the image quality of the tested stereo image. The no-reference fuzzy distorted stereo image quality evaluation method has the advantages of low computation complexity and good relevance between an objective evaluation result and subjective perception.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to a no-reference fuzzy distortion stereoscopic image quality evaluation method. Background technique [0002] With the rapid development of image coding technology and stereoscopic display technology, stereoscopic image technology has received more and more attention and applications, and has become a current research hotspot. Stereoscopic image technology utilizes the principle of binocular parallax of the human eye. Both eyes independently receive left and right viewpoint images from the same scene, and form binocular parallax through brain fusion, so as to enjoy stereoscopic images with a sense of depth and realism. . Compared with single-channel images, stereo images need to ensure the image quality of two channels at the same time, so it is very important to evaluate its quality. However, there is currently no effective objective evaluation method to evaluate the stereos...

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Application Information

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IPC IPC(8): G06T7/00G06K9/66
Inventor 邵枫王珊珊李柯蒙
Owner 创客帮(山东)科技服务有限公司
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