1. Image security of agricultural environment monitoring based on image encryption algorithm of secure compressed sensing.
- Author
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Jingyi Liu
- Subjects
- *
IMAGE encryption , *COMPRESSED sensing , *AGRICULTURE , *AGRICULTURAL resources , *IMAGE fusion , *DATA encryption - Abstract
Agricultural environment monitoring is to track the residues and accumulation dynamics of pollutants in agricultural products to ensure the safety of agricultural products and human health, and to provide scientific basis for agricultural environment management. The development of network technology has enabled people to share agricultural information resources. However, the openness and sharing of agricultural information resources often brings about data security issues. In addition, the representative method of current monitoring image data is compressed sensing, which lacks effective security technology guarantee in the process of signal acquisition and transmission. Therefore, it is even more necessary to use encryption methods for optimization. Based on the diversity, complexity, and security of the image data, an adaptive algorithm was proposed in this study to realize the reconstruction optimization of compressed sensing technology and the processing of the detected image data. An image fusion algorithm was introduced to realize the differential processing of different frequency subbands. Blockchain technology was introduced into the sensing matrix to realize encryption processing and ensure the security of agricultural environment monitoring image data. The security application analysis of the proposed compressed sensing encryption algorithm showed that the average reconstruction probability of the proposed improved encryption algorithm was 84%, which was less affected by the number of measurements, and the overall fitness changed more smoothly. Moreover, the algorithm had a large signal-tonoise ratio in the reconstruction of agricultural environment images with different scale characteristics, and its scores in the five objective evaluation dimensions of image quality were better than other algorithms. The satisfaction of algorithm process encryption and image data security had reached 80.12% and 89.23%, respectively. This research enhanced and reconstructed the existing agricultural environment monitoring images to help agricultural environment monitoring and make up for the lack of security of agricultural environment monitoring images, which has a very important research value. [ABSTRACT FROM AUTHOR]
- Published
- 2023