Depth image enhancement method based on anisotropic diffusion

A depth image and anisotropic technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of inability to obtain accurate depth information, lack of depth information, and inability to fill depth missing areas, etc., to achieve a good filling effect , strong robustness and strong versatility
CN103198486AActive Publication Date: 2013-07-10ZHEJIANG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
ZHEJIANG UNIV
Publication Date
2013-07-10

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Abstract

The invention discloses a depth image enhancement method based on anisotropic diffusion. The similarity among pixel points of a color image corresponding to a depth image is used as a basis of depth diffusion, and based on the known depth of the depth image, filling of a depth missing region of the depth image is finished. Through the depth image enhancement method based on the anisotropic diffusion, the defect that in a traditional depth enhancement method based on interpolation, edges of an object are blurry is overcome, meanwhile, the limit of the size of a wave filtering window in a depth enhancement method based on wave filtering is broken through, and the depth image enhancement method based on the anisotropic diffusion has the advantages of being high in universality, high in robustness and the like. The depth image enhancement method based on the anisotropic diffusion can be widely used for a variety of depth images which have missing depth regions, and in a practical application process, based on the color image and the depth image which are in correspondence to each other, a good depth image missing region filling effect can be achieved.
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Description

Technical field

[0001] The invention relates to a depth image enhancement method, in particular to an enhancement method for filling missing regions of a depth image based on anisotropic diffusion. Background technique

[0002] The depth image is used to express the distance between points in the scene relative to the camera. Depth image has a wide range of applications in various applications of computer vision, which provides more possibilities for methods such as tracking, classification, and recognition in computer vision.

[0003] The acquisition of depth images includes active acquisition and passive acquisition. Among them, the binocular stereo vision method is commonly used in passive acquisition, which uses two cameras separated by a certain distance to acquire scene images at the same time, and uses the geometric relationship between the two cameras to finally generate depth images; while active acquisition includes lidar, Structured light and other methods are characte...

Claims

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