An image processing method for infrared image detail enhancement

Abstract

The application discloses an image processing method for infrared image detail enhancement and belongs to the technical field of infrared image processing. The method solves the technical problem of urgently needing an infrared image processing method capable of strengthening small target detail feature extraction in an infrared image and optimizing deep and shallow feature fusion effect of the infrared image. In view of the problems that a small infrared target is small in size, poor in features, easy to be fused with a background, and an existing feature map construction mode is insufficient in detail extraction and insufficient in feature fusion, a brand-new image processing network is constructed, and a detail enhancement module and a self-adaptive feature recalibration module are integrated as cores. The detail enhancement module strengthens small target detail feature extraction through multi-branch differential convolution and reparameterization technology. The self-adaptive feature recalibration module is composed of a series of recalibration attention units and is used for adaptively fusing deep and shallow features to optimize feature expression.

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