BEEPS(bi-exponential edge-preserving filter) is used to enhance the details of infrared image in this paper. Theoriginal infrared image has a dynamic range of 12 or 14 bits, and the human observation range is only 8 bits. Usually, theoriginal infrared image needs to be compressed and displayed by gray-scale remapped for displaying. For example,automatic gain control and histogram equalization are the most widely used image display technologies in infraredimaging systems, but they can lead to the loss of local details, and it is difficult to control the visibility of weak details inimages. Therefore, an infrared image digital detail enhancement algorithm has emerged.Current digital enhancementalgorithms can effectively enhance image details and avoid over-amplification of noise, but there are still somedrawbacks, such as large computational load and poor application flexibility.Therefore, we use BEEPS in our algorithmto overcome these problems. This algorithm uses a two dimensional convolution to separate the detail information froman original infrared image, and turn the original image into the detail layer and the base layer. Detail layer processing isto transform two-dimensional convolution into one-dimensional convolution, and to complete one-dimensionalconvolution through iterative calculation. Then, the enhanced detail layer is added back to the base frequency layer ofhistogram equalization. This not only improves the computational efficiency, but also improves the visual quality of theoriginal image. The BEEPS algorithm is proved to be excellent by image and data testing.
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