An Objective Evaluation Method of Stereo Image Quality Based on Feature Map
An objective quality evaluation and stereoscopic image technology, applied in image analysis, image data processing, instruments, 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
- 2015-10-28
Smart Images

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Abstract
Description
technical field
[0001] The invention relates to an image quality evaluation method, in particular to an objective image quality evaluation method based on feature maps. 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 of two channels at the...
Examples
Embodiment Construction
[0071] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.
[0072] A method for objective evaluation of stereoscopic image quality based on feature maps proposed by the present invention, its overall realization block diagram is as follows figure 1 As shown, the processing process is as follows: First, according to the disparity space values of each pixel in the left viewpoint image of the original undistorted stereoscopic image and the corresponding coordinate position of the pixel in the right viewpoint image under multiple disparity values , to obtain the disparity space map of the original undistorted stereoscopic image, and according to each pixel in the left viewpoint image of the distorted stereoscopic image to be evaluated and the corresponding pixel point in the right viewpoint image in multiple disparity values Under the disparity space value, obtain the disparity space map of the distorted...