Image processing method, image processing device and electronic equipment

Abstract

The invention provides an image processing method, an image processing device and electronic equipment for a cloud true machine system. The image processing method comprises the following steps of acquiring continuous image frames displayed on a screen in real time; caching the collected continuous image frames; rendering the image frame at the current moment in the cached continuous image framesat every preset time interval, and outputting the image frame at the current moment after rendering; and carrying out hardware encoding on the rendered image frame at the current moment, and generating and outputting video streams corresponding to the continuous image frames displayed on the screen. The coding of screen images is executed by utilizing a hardware encoder at an electronic equipmentend, so that the delay of the cloud true machine system is reduced, the hardware requirements for local processing equipment are reduced, the number of the electronic equipment which can be accessed by the single remote processing equipment is increased, and the deployment cost is reduced. In addition, the electronic equipment directly transmits the video streams to the local processing equipment,compared with image data under the same definition, the requirements for the transmission bandwidth are reduced.

Description

technical field [0001] The present disclosure relates to the field of image processing, and more specifically, the present disclosure relates to an image processing method, an image processing device, and an electronic device for a cloud-based real-machine system. Background technique [0002] The cloud real machine system provides the screen image of a local electronic device (such as a smart phone, a tablet computer) to a user of a remote processing device (such as a computer), collects the real-time operation performed by the user on the remote processing device for the screen image, and converts the The real-time operation is then transmitted back to the local electronic device for the local electronic device to respond to the real-time operation, and the results of the operation of the local electronic device in response to the real-time operation are provided to the user of the remote processing device. Through the cloud real machine system, users of remote processing ...

AI Technical Summary

Problems solved by technology

However, the local processing device requires a huge amount of calculation for image encoding, which takes up a long CPU calculation cycle, and the remote cloud real machine is a cloud system with strong real-time performance. Therefore, in order to reduce the delay, the local processing device must be equipped with computing power. Strong CPU with high main frequency to reduce the time spent on image encoding

Because image encoding consumes a lot of CPU and memory, it greatly limits the number of electronic devices that can be connected to a single local processing device

Due to the transmission bandwidth and transmission speed limitations of the connection (for example, USB 2.0 connection) between the electronic device and the local processing device, the user of the remote processing device can receive a lower quality real-time image of the electronic device

In addition, the image size of the electronic device is large, and the additional compression and decompression processing required for transmission between the electronic device and the local processing device also increases the delay time between the capture of the screen image of the electronic device and the final display on the remote processing device

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