A wide dynamic range infrared image enhancement algorithm based on guided filter layering
Aiming at the problems of low contrast,unhighlighted detail information and poor overall sharpness of wide dynamic range infrared images in terms of visual effects,a wide dynamic range infrared image detail enhancement al-gorithm based on the guided filter layering is proposed in this paper.The original image is layered using variance deci-sion weighted guided filtering to obtain a base layer closer to the original image and a finer detail layer.In order to up-grade the contrast of the base layer,the global clipping point of CLAHE are firstly improved to enhance the enhance-ment effect,and then the integration of global and local histograms is guided based on the AC visual salience model,giving reasonable consideration to the image background and target.Moreover,to enhance the detail information effec-tively,a new detail layer with more comprehensive information is obtained based on multi-scale weighted guided filte-ring,followed by noise cancellation using gradient domain guided filtering,and then the Sigmoid function is used to compress the strong edge and highlight the subtle target,and finally the information of the two layers is fused and out-put.The experimental results show that the proposed algorithm is stronger than the comparison algorithm in both sub-jective vision and quantitative indexes,and has strong adaptability and robustness.
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