Matrix completion based WMSN (wireless multimedia sensor network) image compression acquisition method

Abstract

The invention discloses a matrix completion based WMSN (wireless multimedia sensor network) image compression acquisition method. The method comprises the steps as follows: after a system is initialized, a camera node obtains original image data A, the original image A is divided into block images of equal size, the sampling rate r is set, and sampling matrix numbers are selected according to r and are distributed to ordinary nodes for processing; the ordinary nodes extract a random sampling matrix Wij from a random sampling matrix library M, compressed data of a block image ak is obtained, the ordinary nodes send the compressed data and random matrix numbers i and j to a cluster head node, and the numbers are transmitted to a base station node for reconstruction after summarization; a base station generates an incomplete block image Xk, and a block matrix ak is obtained with a matrix completion reconstruction algorithm; after splicing, a complete reconstructed image B is obtained and can approximately represent the original image A at this time. With adoption of the method, energy consumption of sensor nodes can be effectively reduced, work efficiency of the sampling end is improved, and the life cycle of the whole network is prolonged.

Description

technical field [0001] The invention belongs to the technical field of wireless multimedia sensor networks, relates to an image compression method for wireless multimedia sensor networks based on matrix completion technology, and mainly solves the problem of how to reduce energy consumption required for image data collection and transmission in application scenarios with limited energy. Background technique [0002] Wireless Multimedia Sensor Networks (Wireless Multimedia Sensor Networks, WMSNs) is a self-organizing network system formed by a large number of sensor nodes through wireless communication. WMSNs are usually equipped with microphones, cameras and other equipment for collecting multimedia data such as sound and images. [0003] Compared with traditional wireless sensor networks, the amount of data collected by WMSNs is larger, and the processing and transmission energy consumption of nodes is correspondingly higher. However, the energy of WMSNs is generally provi...

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Problems solved by technology

[0006] Aiming at the shortcomings of the image compression algorithm in the prior art, such as complex calculation and high energy consumption, the present invention takes "light encoding and heavy decoding" as the design idea, introduces matrix completion technology, and proposes a low-energy consumption solution that is more suitable for wireless multimedia sensor networks. Image compression method, only need to use pseudo-random matrix to partially sample the original data to get compressed data

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