Objective evaluation method for stereo image quality on the basis of image decomposition
An objective quality evaluation and stereoscopic image technology, applied in stereoscopic systems, image communications, televisions, etc., can solve the problems of not directly viewing the disparity map and the depth perception of stereoscopic images is not very accurate
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Publication Date
- 2015-05-13
Smart Images

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Abstract
Description
technical field
[0001] The invention relates to an image quality evaluation method, in particular to an image decomposition-based objective evaluation method for stereoscopic image quality. 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 binocular parallax principle 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 a stereoscopic image with a sense of depth and realism. Due to the influence of acquisition system, storage compression and transmission equipment, stereoscopic images will inevitably introduce a series of distortions. Compared with single-channel images, stereoscopic images need to ensure the image quality o...
Examples
Embodiment Construction
[0075] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.
[0076] A method for objective evaluation of stereoscopic image quality based on image decomposition proposed by the present invention, its overall realization block diagram is as follows figure 1 As shown, the process is as follows:
[0077] Firstly, three-level wavelet transform is performed on the left view image of the original undistorted stereo image and the left view image of the distorted stereo image to be evaluated, and then according to the obtained wavelet coefficients of the three direction subbands corresponding to each wavelet transform Matrix, to obtain the restored image and interference image of the left viewpoint image of the distorted stereoscopic image to be evaluated; similarly, implement 3 levels for the right viewpoint image of the original undistorted stereoscopic image and the right viewpoint image of the distorted ste...