51. Research and Application of Improving Methods of Image Transmission Quality in Power Field
- Author
-
Zhang Limin, Wang Xiaoyan, Chai Pei, Li Rui, and Liu Feng
- Subjects
Transmission (telecommunications) ,Computer science ,Computer Science::Computer Vision and Pattern Recognition ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Electronic engineering ,Wavelet transform ,Image processing ,Electric power ,Energy (signal processing) ,Decoding methods ,Field (computer science) ,Image compression - Abstract
With the development of energy Internet technology, the types and number of terminals in substations have shown an explosive growth trend, which puts forward higher requirements for image compression and image processing capabilities. Therefore, this paper proposes a method to improve the quality of power image transmission. Firstly, the eigenvalues and special vectors of the image are obtained, and then the wavelet transform method is used to encode the image, and finally the compressed image after decoding is obtained. Based on a typical field case, the comparison of experimental data under various algorithms is carried out. The results show that the improved method proposed in this paper has better image compression quality and higher peak signal-to-noise ratio, and improves the transmission quality of substation field monitoring images. It provides new technical ideas for the development of big data processing of electric power images.
- Published
- 2020