Measurement end observation efficiency regulation and control method for image component block compressed sensing

Abstract

The difficult-to-control observation efficiency is the main problem of restricting the development of the video observation coding technology. Based on an image component block compressed sensing framework, the invention provides a model-guided observation efficiency regulation and control method, and a measurement end distributes the sampling rate and the quantization depth of a key frame / non-keyframe for a next image group in advance under the constraint of power consumption according to an observation result of the current image group and a GOP inter-frame correlation model. The current image group completes the observation coding, and if the current power consumption meets the power consumption constraint, the next image group still adopts the observation parameters of the current image group. The next image group enters a decreasing mode or an increasing mode, and the observation parameters are updated according to the GOP inter-frame correlation model. Due to the fact that the adjacent image groups have similar statistical characteristics, a preset mechanism of observation parameters under power consumption constraint is provided for video observation coding, the sampling rate and the quantization depth can be rapidly distributed for the key frames / non-key frames, and the optimized observation efficiency is provided for the continuous image groups.

Description

technical field [0001] The invention belongs to the field of compressed sensing video communication, and in particular relates to a video observation efficiency control method based on an image group block compressed sensing architecture. Background technique [0002] Compressed sensing can decompose the original signal into a small number of linear observations at a sampling rate much lower than the Nyquist theorem, and realize signal acquisition and compression at the same time. Compressed sensing video communication is a video communication system based on compressive sensing theory, and its measurement end and reconstruction end are extremely asymmetric: the measurement end with limited physical resources needs to perform efficient video observation coding, and the reconstruction end with abundant computing resources needs Restores the video signal to the transmission. Among various compressed sensing systems, Block Compressed Sensing (BCS) has lower requirements on sen...

AI Technical Summary

Problems solved by technology

Under the constraint of average power consumption, how to pre-set the optimized sampling rate and quantization depth for the next image group at the measurement end, so as to realize the performance control between observation quality and observation power consumption, has not yet seen a corresponding method

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