Artifact-removing image splicing method based on image depth layering

A technology of image stitching and image depth, applied in the field of virtual reality, can solve the problems of not being able to obtain good stitching effects and artifacts, and achieve good anti-artifact effects and good stitching effects

Inactive Publication Date: 2019-09-20
UNIV OF SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

Due to the large dynamic range of the depth of field in the overlapping area of ​​the image to be stitched, the current image stitching algorithm cannot achieve a good stitching effect, and often produces artifacts (such as figure 1 shown)

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  • Artifact-removing image splicing method based on image depth layering
  • Artifact-removing image splicing method based on image depth layering
  • Artifact-removing image splicing method based on image depth layering

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Embodiment Construction

[0031] Compared with traditional 2D image acquisition, emerging light field imaging technology [1, Ng R, Levoy M, Brédif M, Duval G, Horowitz M, Hanrahan P (2005) Light field photography with a hand-heldplenoptic camera. Comput Sci Tech Rep CSTR 2(11):1], not only the spatial domain information of the image (such as the pixels of the image), but also the additional angle domain information (that is, different light information obtained from viewing the image from different angles) can be obtained. The basic imaging principle of light field camera is as follows: figure 2 As shown, between the main lens and the photoreceptor, there is a set of two-dimensional microlens arrays, which can collect light reflected from different angles. With this design, the light field camera can collect multiple 2D sub-images (or called 2D sub-aperture images) from different viewpoints. Therefore, a light field image is actually a set of images, which contains not only spatial domain information...

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Abstract

The invention relates to an artifact-removing image splicing method based on image depth layering. The method comprises the following steps: according to a depth image clustering result, carrying out quantization processing on a depth image of an unspliced image to obtain a depth image mask; classifying the feature points matched with the sift algorithm based on the depth map mask, and calculating respective transformation matrixes of the feature points of different categories; and according to the depth map mask, carrying out depth layering on the spliced image to obtain images of different depth levels, transforming the images of different depth levels by using respective transformation matrixes, and carrying out superposition on the transformed images from deep to shallow according to the depth levels to obtain a final spliced image.

Description

technical field [0001] The invention relates to a de-artifact image mosaic method based on image depth layering, and belongs to the technical fields of virtual reality, immersive media and light field images. Background technique [0002] Panoramic images can bring users an immersive media experience, and are one of the important manifestations of virtual reality (VR) media. Whether it is an ordinary image or a light field image, the viewing angle of a single image is often narrow, and it is impossible to form a panoramic image alone. In practical applications, a panoramic image is generally stitched from multiple images through a stitching algorithm. Light field images can provide users with a more realistic and natural 6-degree-of-freedom (6DoF) media experience, so that users can get a better sense of immersion (Immersion). Therefore, the 6-DOF light field image is the development trend of virtual reality (VR) media technology in the future. In VR applications, multipl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T5/00G06T5/50
CPCG06T3/4038G06T5/006G06T5/50G06T2200/32G06T2207/10028G06T2207/10052G06T2207/20016G06T2207/20221
Inventor 陈志波张雯圆陈晓明
Owner UNIV OF SCI & TECH OF CHINA
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