Visual perception-based three-dimensional image quality objective evaluation method
A technology for objective quality evaluation and stereoscopic images, applied in image analysis, image data processing, instruments, etc., can solve problems such as lack of stereoscopic image quality
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Publication Date
- 2014-12-10
- Estimated Expiration
- Not applicable · inactive patent
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Abstract
Description
technical field
[0001] The invention relates to an image quality evaluation method, in particular to an objective evaluation method for stereoscopic image quality based on visual perception. 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 impact 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 of ...
Examples
Embodiment Construction
[0070] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.
[0071] The present invention proposes a method for objective evaluation of stereoscopic image quality based on visual perception, and its overall realization block diagram is as follows: figure 1 As shown, it includes the following steps:
[0072] ① Order S org To be the original undistorted stereo image, let S dis For the distorted stereo image to be evaluated, set S org The left view image of is denoted as {L org (x,y)}, the S org The right view image of is denoted as {R org (x,y)}, the S dis The left view image of is denoted as {L dis (x,y)}, the S dis The right view image of is denoted as {R dis (x, y)}, where (x, y) represents the coordinate position of the pixel in the left-viewpoint image and the right-viewpoint image, 1≤x≤W, 1≤y≤H, W represents the left-viewpoint image and the right-viewpoint The width of the image, H represe...