Multi-front-end depth image super-resolution system and data processing method thereof

• Main Authors: SHEN SHIFU, ZHANG HAOJIAN, LIU WEIFENG, ZHANG XIN
• Format: Patent
• Language: Chinese; English
• Published: 10.09.2019
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention discloses a multi-front-end depth image super-resolution system and a data processing method thereof. The system comprises five modules, namely a depth image super-resolution module, a WeChat applet front end module, a webpage front end module, an Android client end module and a server background module, the depth image super-resolution, the webpage front end and the server background module can be realized by a Python language and a corresponding Python library. The Android client is realized by using a Java language based on Android Studio, and the WeChat applet end is constructed by using an official development suite, so that a depth image super-resolution system capable of running on various devices is realized. Wherein the depth image super-resolution module is used forrealizing a resolution amplification operation on a depth image, the front end and client module is used for submitting an image to a background, and the server background module is used for transferring the image to the dep