Deep image post-processing method

A deep image and post-processing technology, applied in the field of image processing, can solve problems such as blurred object edges, error point diffusion, and inability to distinguish correct points from wrong points.

Active Publication Date: 2012-07-04
万维显示科技(深圳)有限公司
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AI Technical Summary

Problems solved by technology

However, these filtering methods are limited to a fixed window, and cannot distinguish the correct point and the wrong point in the image, which will easily cause the spread of the wrong point and blur the edge of the object in the image.

Method used

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Examples

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Embodiment

[0100] (1) The left and right perspective stereo images of Art with an image resolution of 463×370 and the corresponding left and right perspective depth images are used as input images, and the maximum depth DMax=67. image 3 (a) is the left view image of Art, image 3 (b) is the depth image of the left viewpoint of Art, image 3 (c) is the right view image of Art, image 3 (d) is the right-view depth image of Art.

[0101] (2) Set left-right consistency detection error threshold η LR =2, uniqueness detection error threshold η PK = 0.4.

[0102] (3) Take the left viewpoint image as the main viewpoint and the right viewpoint image as the auxiliary viewpoint, and detect credible points and untrustworthy points in the depth image of the left viewpoint. Figure 4 (a) is the credibility-marked image of the left view, where the white areas are untrustworthy points.

[0103] (4) Take the right viewpoint image as the main viewpoint and the left viewpoint image as the auxiliary ...

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Abstract

The invention discloses a deep image post-processing method, which comprises the following steps of: (1) based on to-be-processed left and right view point three-dimensional images and corresponding left and right view point deep images, taking one view point image as a main view point and the other view point image as an auxiliary view point, and detecting reliable points and unreliable points of the main view point deep image; (2) determining filtering size range for processing the main view point deep image according to the basic size of a filtering window; and (3) carrying out multi-size filtering on the main view point deep image by utilizing the main view point image and the reliability of each pixel in the main view point deep image, retaining reliable points, and gradually correcting the unreliable points. According to the invention, aiming at the deep image generated by a three-dimensional matching algorithm, the unreliable points in the shielding region and low-texture region in the deep image can be quickly and effectively corrected, the object edges can be effectively retained, and the accurate and smooth deep image is obtained.

Description

technical field [0001] The present invention relates to an image processing method, in particular to a depth image post-processing method. Background technique [0002] Objects in the real world are three-dimensional, but general photography technology can only record space objects in two-dimensional form, thus losing the depth information of objects. With the development of computer technology and multimedia technology, more applications need to use the depth information of the scene to truly reproduce the objective world and bring people a three-dimensional experience. At present, naked-eye free stereoscopic TV is booming. It can get rid of the restriction of glasses and watch 3D stereoscopic effect with naked eyes at any viewpoint. The common autostereoscopic display technology uses depth information, uses DIBR (Depth-Image-Based Rendering) algorithm to generate multiple virtual viewpoint images at the reconstruction display end, and finally synthesizes stereoscopic imag...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 杨青青张静王梁昊李东晓张明
Owner 万维显示科技(深圳)有限公司
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