Post-processing method for depth image

Abstract

The invention discloses a post-processing method for a depth image. The method comprises the following steps of: coding an acquired color image and a corresponding depth image to obtain a coded code stream; acquiring a coding distortion compensation parameter of the depth image, and coding the coding distortion compensation parameter of the depth image to obtain a parameter code stream; decoding the coded code stream and the parameter code stream to obtain a decoded color image, a decoded depth image and a decoded coding distortion compensation parameter; and compensating the decoded depth image by using the coding distortion compensation parameter of the depth image to obtain a depth compensated image, and filtering the depth compensated image to obtain a depth filtered image which is used for drawing a virtual viewpoint image. The method has the advantages that the influence of coding distortion on the drawing of the virtual viewpoint image is lowered on the basis of maintaining the compression efficiency of the depth image, and the drawing performance of the virtual viewpoint image is greatly improved.

Description

technical field [0001] The present invention relates to an image processing method, in particular to a post-processing method of a depth image. Background technique [0002] Three-dimensional video (Three-Dimensional Video, 3DV) is an advanced visual mode, which enables people to view images on the screen with a sense of three-dimensionality and immersion, which can meet the needs of people to view three-dimensional (3D) scenes from different angles. Typical 3D video systems such as figure 1 As shown, it mainly includes modules such as video capture, video encoding, transmission decoding, virtual viewpoint rendering and interactive display. [0003] Multi-view video plus depth (MVD) is a 3D scene information representation method currently recommended by ISO / MPEG. MVD data adds depth information of corresponding viewpoints on the basis of multi-viewpoint color images. There are currently two basic ways to obtain depth information: 1) Obtaining through depth cameras; 2) Obt...

AI Technical Summary

Problems solved by technology

[0004] However, compared with the color image, the texture of the depth image is simple, which includes more flat areas, but due to the limitation of the depth image acquisition method, the depth image generally has problems such as poor time continuity and depth discontinuity, and more importantly, The depth image is not directly used for viewing, but is used to assist DIBR and 3D display

At present, relevant researchers have proposed some preprocessing methods for depth images, such as symmetric Gaussian filtering and asymmetric Gaussian filtering. Therefore, on the basis of maintaining the compression efficiency of the depth image, how to improve the performance of the virtual viewpoint rendering by post-processing the depth image is an urgent problem to be solved.

Images