With the development of the state grid, there is a great demand for equipments to detect the corona discharge on high-voltage transmission lines. The uncooled infrared image and solar-blind UV image fusion camera is supposed to achieve the purpose. Image fusion is an important method to integrate the features from images of different band spectrum into a single frame for enhanced visual perception. The image fusion camera consists of infrared channel, solar-blind UV channel, imaging processing module and display module. An image fusion rule based on the Laplacian pyramid decomposition is proposed. The fusion methodology is divided into several steps: image preprocessing, Gaussian pyramid decomposition, Laplacian pyramid decomposition, image fusion and reconstruction. The algorithm is implemented on the image fusion camera. The camera is verified to detect the corona discharge for fault diagnosis of high-voltage power system. Keywords: uncooled infrared FPA, image fusion, solar-blind UV, corona discharge
Night vision technologies have been used in military and civilian monitor wildly. In this paper, an image fusion camera based on Infrared FPA, ICMOS and FPGA is designed. First, image acquisition module consist of bias voltage, AD circuits and optical system is built. The MCP in front of the CMOS ensures the gain up to 104. Then, Verilog is written to drive these two sensors, pre-proceed the images data and push them into LPDDR. Moreover, we propose a fully parallel algorithm to fuse the images in real time using gradient. This algorithm neither needs iteration nor morphology, so it dose not consume the band width of LPDDR. Finally, video is output in PAL format.
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