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Fusion of infrared and visible images based on discrete cosine wavelet transform and high pass filter

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Abstract

A single visible image and an infrared image have specific limits in representing environmental information, combining the two can enhance the visual information in the image. The discrete wavelet transform (DWT) is used to obtain the image's basic information, and the high-pass filter is used to obtain the image's characteristic information, and the basic and characteristic information are effectively fused in this study. Firstly, the image is processed using the DWT in this research, which efficiently extracts features without distorting the image; secondly, utilize image quantization to encode, compress, and decode the image in order to reduce the amount of image data, speed up computing, and be more efficient. The fusion image is evaluated using a representative image evaluation approach, and the usefulness of the suggested method is addressed. Experiments have shown that this strategy is more effective than others, and the effect is more noticeable when color and infrared photographs are combined.

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Authors and Affiliations

  1. Department of Vehicle and Electrical Engineering, Shijiazhuang Branch, Army Engineering University of PLA, Shijiazhuang, 050003, China

    Zhigang Ren, Guoquan Ren & Dinghai Wu

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  1. Zhigang Ren
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  2. Guoquan Ren
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  3. Dinghai Wu
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All authors contribute equally.

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Correspondence to Guoquan Ren.

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Communicated by Seyedali Mirjalili.

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Ren, Z., Ren, G. & Wu, D. Fusion of infrared and visible images based on discrete cosine wavelet transform and high pass filter. Soft Comput 27, 13583–13594 (2023). https://doi.org/10.1007/s00500-022-07175-9

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