Depth image lossless compression and decoding method

By dividing depth image data into independent image blocks and resetting the encoder state, combined with a thread model and metadata, parallel lossless compression and decoding of depth images are achieved. This solves the serial dependency bottleneck and resource scheduling problem in existing technologies, improves processing efficiency and flexibility, and is applicable to fields such as robot autonomous navigation, augmented reality, and autonomous driving.

CN122293876APending Publication Date: 2026-06-26WISDOM CORNERSTONE (SHANGHAI) TECHNOLOGY CO LTD
0 Cites 0 Cited by

Patent Information

Application Number
CN202610420886.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-01
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing depth image compression schemes struggle to balance processing efficiency and computational performance, exhibiting serial dependency bottlenecks and performance fluctuations due to resource scheduling issues. They are particularly difficult to implement in parallel computing and flexible applications in multi-threaded environments.

Method used

The sequence data of depth images is divided into multiple independent image blocks according to a predetermined partitioning rule, and the encoder state is reset at the beginning of encoding each image block. Parallel encoding and decoding are achieved by combining a thread model and metadata. Reusable workspaces and context objects are used to dynamically select the thread mode. A secondary compression algorithm is introduced to improve compression efficiency.

Benefits of technology

It achieves true parallel encoding and decoding, improves throughput, supports ultra-fast random access and on-demand regional decoding, eliminates resource waste, ensures efficient processing response and stability in low computing power environments, and provides hardware adaptation flexibility and storage efficiency.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention provides a lossless compression and decoding method of a depth image. The lossless compression comprises the following steps: dividing sequence data into a plurality of independent image blocks according to a predetermined division rule; selecting a corresponding thread model according to the features of the depth image; calling a thread based on the thread model, and independently coding each image block by using a reversible coding algorithm; wherein each image block resets the encoder state at the beginning of encoding, so that the encoding of each image block does not depend on the data of the previous image block; generating metadata containing position indexes and compressed data length information, and assembling and outputting the metadata and the coded image blocks. The lossless decoding includes reading the metadata and decoding the at least one image block according to the metadata. Through the method, parallel coding and decoding are realized; precise positioning through physical offset is supported, random access and on-demand area decoding are achieved, lossless restoration is guaranteed, and meanwhile the processing response of the high-frame-rate depth flow in the low-computing-power environment is improved.
Need to check novelty before this filing date? Find Prior Art