Dr. Jin Zhu Profile

Dr. Jin Zhu

at Beijing Institute of Technology

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Proceedings Article | 30 November 2012 Paper

A visible/infrared gray image fusion algorithm based on the YUV color transformation

Jin Zhu, Weiqi Jin, Jiakun Li, Li Li

Proceedings Volume 8558, 855814 (2012) https://doi.org/10.1117/12.2001309

KEYWORDS: Image fusion, Infrared imaging, Infrared radiation, Visible radiation, Detection and tracking algorithms, Thermography, Digital signal processing, Wavelets, Image processing, Information fusion

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Color fusion technology, one of the typical technologies, has been emphasized all over the world. Multiband images are fused into a color image. Some effective visible and thermal infrared color fusion algorithms have been proposed now. We have successfully run a real-time natural sense of visible/infrared color fusion algorithm in DSP and FPGA hardware processing platforms. However, according to different needs, gray image fusion technology has its own unique applications. Based on the natural sense of color image fusion algorithm of the visible and infrared, we have proposed a visible / infrared gray image fusion algorithm. Firstly we do a YUV color fusion. Then we output the brightness of the fusion as gray fusion images. This algorithm for image fusion is compared with typical fusion algorithms: the weighted average, the Laplace Pyramid and the Haar basis wavelet. Several objective evaluation indicators are selected. The results of objective and subjective comparison show that the algorithm has most advantages. It shows that multiband gray image fusion in the color space is available. The algorithm is implemented on a DSP hardware image processing platform real-time with the TI's chip as the kernel processor. It makes natural sense of color fusion and gray fusion for visible light (low level light) and thermal imaging integrated. Users are convenient to choose model of the natural sense of color fusion or gray fusion for real-time video imaging output

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