Supervision method for multi-exposure image fusion on multi-energy flow platform

Abstract

The invention discloses a supervision method for multi-exposure image fusion on a multi-energy flow platform, and belongs to the technical field of supervision of image processing on the multi-energy flow platform. According to the method, in consideration of the problem that information is lost due to the fact that the information is possibly interfered by illumination intensity in an external environment and the problem that the exposure intensity is too low possibly on a multi-energy-flow platform, a high-quality image is fused through multi-exposure image fusion, good information is obtained, and then next-step processing is carried out. According to the method, firstly, image weights are reconstructed in the aspects of contrast and exposure moderation evaluation and chromaticity factors in a Y channel, fusion reconstruction is carried out in the contrast of a UV channel, a weight map is optimized by applying guided filtering, the weight map after weight optimization is obtained, and finally two-scale image fusion is carried out on images. The method is low in calculation amount, is simple and effective, can clearly extract the characteristics of the electric energy information operated on the multi-energy-flow platform, and especially can more accurately monitor the environment information of the multi-energy-flow platform.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to the technical field of image processing supervision on a multi-energy flow platform. Background technique [0002] Digital images are one of the main sources for people to obtain external information, but with the rapid development of digital image technology, people's requirements for digital image quality are also increasing. Multi-exposure image fusion can meet people's requirements for image quality. The multi-exposure image fusion algorithm measures the importance of the pixels in the multi-exposure image sequence through some specific weight measurement factors, constructs the fusion weight and performs filtering optimization. Then, according to the index of fusion weight, the detailed information in the image sequence is extracted, and then weighted and fused with the image sequence to obtain the final fusion image. [0003] At present, there are many supervisio...

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Problems solved by technology

[0003] At present, there are many supervision methods for power grids, but all of them directly extract information through cameras, but the external environment is likely to be disturbed by light intensity, resulting in the problem of missing information. On the multi-energy flow platform, it may be due to exposure intensity. The problem of too low makes us use the information on the multi-energy flow platform, such as thermal energy and electric energy conversion display, energy storage and electric energy display, wind energy display and other devices, to monitor the information of energy conversion equipment; or to monitor the environment of the multi-energy flow platform, whether it is normal Work etc.

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