A multi-image super-resolution method based on depth information

A technology of depth information and super-resolution, which is applied in the field of image processing, can solve problems such as super-resolution results are wrong, simple and rough, and insufficient precision, and achieve the effect of simple method, good super-resolution effect, and strong universality

CN104935909BActive Publication Date: 2017-02-22SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2017-02-22

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Abstract

The invention discloses a multi-image super-resolution method based on depth information; the method comprises the following steps: a, obtaining a group of low-resolution images of different reference viewpoints in a same scene and a corresponding group of depth images in a same resolution; b, using depth information to determine parallax sizes of each pixel projected to assigned viewpoint positions in the image of each reference viewpoint, thus obtaining the position of the pixel in the assigned viewpoint; c, projecting the low-resolution image of the reference viewpoint to the assigned viewpoint, and fusing information of all images so as to obtain a high-resolution image. The multi-image super-resolution method can replace an image registering method in a corresponding super-resolution technology in the prior art, is good in super-resolution effect, simple and practical, and has very strong universality.
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Description

technical field

[0001] The invention relates to the field of image processing, in particular to a multi-picture super-resolution method based on depth information. Background technique

[0002] In many occasions, due to the limitation of equipment or working environment, the obtained image quality is very low, which is not conducive to the next step of work, so it is very necessary to obtain higher image quality.

[0003] The most direct way to obtain high-quality images is to improve the performance of image acquisition equipment, which requires further reducing the size of the image sensor. However, there is a limit in sensor technology. When the sensor size is small to a certain extent, the image quality is also inevitable. This is because as the size of the sensor decreases, the noise does not decrease, so the proportion of noise in the signal increases. At the same time, the cost of this method is high. Therefore, it is a good choice to use the super-resolution techno...

Examples

example

[0100] Input objects:

[0101] The input objects are a set of low-resolution images and their corresponding depth maps of the same scene.