Depth map compression method, device and system and storage medium

Abstract

The invention discloses a depth map compression method, device and system and a storage medium, which are used for enabling a depth map to be directly compressed through two-dimensional coding equipment and further enabling the compressed depth map to be convenient for network distribution. The method comprises the following steps: acquiring a to-be-compressed depth map; obtaining all pixel points in the depth map; determining a concentrated area of information entropies of all the pixel points; splitting the depth image according to the concentrated area, splitting all pixel points contained in the concentrated area into main images, and splitting all pixel points contained outside the concentrated area into auxiliary images; and respectively inputting the information corresponding to the main image and the auxiliary image into two-dimensional coding equipment for coding, so that the two-dimensional coding equipment outputs a video code stream corresponding to the depth image. By adopting the scheme provided by the invention, the depth map can be split based on the condition of the concentrated area of the information entropy, so the plurality of split depth maps can be directly compressed through the two-dimensional coding equipment, and network distribution is facilitated.

Description

technical field [0001] A depth map compression method, device, system and storage medium. Background technique [0002] Depth image, also known as distance image, refers to an image with the distance (depth) from the image collector to each point in the scene as the pixel value, which directly reflects the geometry of the visible surface of the scene. In the prior art, the depth map is usually compressed by encoding it into a png format. Although such an encoding method reduces the space size, the png format file is not suitable for network distribution. [0003] With the development of video coding, there are already a large number of two-dimensional coding devices today. These two-dimensional coding devices can provide coding speeds of hundreds of frames per second. The existing transmission protocols provide various excellent load balancing methods for network transmission of video. , if the depth map can be encoded into a video stream transparent to the user through a t...

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Problems solved by technology

[0004] However, the current depth map is difficult to be directly compressed by two-dimensional encoding equipment. Taking the depth map provided by Microsoft Camera as an example, the bit depth is 16 bits. The current video protocol has a maximum encoding bit depth of 12 bits, and most Does not provide lossless compression, while depth map encoding generally requires geometric lossless

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