Image compression and detail enhancement method for infrared image

Abstract

The embodiment of the invention discloses an image compression and detail enhancement method for an infrared image. The image compression and detail enhancement method for the infrared image comprises the following steps: obtaining an original infrared image; decomposing the original infrared image into a base map partial image and a detail partial image; carrying out dynamic range compression on the base map partial image to obtain a compression base map partial image; removing stripe noise in the detail partial image, and carrying out detail enhancement processing to obtain an enhanced detail partial image; and combining the compression base map partial image with the enhanced detail partial image. According to the image compression and detail enhancement method for the infrared image, which is disclosed by the embodiment of the invention, the scene information of a global big dynamic range is reasonably compressed, meanwhile, the detail information of a global small dynamic target is enhanced on the basis of effectively inhibiting the stripe noise, the big dynamic range of the infrared image is compressed, the detail information of the infrared image is kept, and the integral display effect of the image is obviously improved.

Description

technical field [0001] The invention relates to the field of infrared image processing, in particular to an image compression and detail enhancement method for infrared images. Background technique [0002] With the increasing maturity of uncooled infrared focal plane detectors, thermal imaging technology is more and more widely used in military and civilian fields. Infrared thermal imaging technology is a radiation-based image information detection technology, which expresses the thermal radiation emanating from the surface of the detected target in the form of an image. However, due to the influence of infrared imaging characteristics, device level and environmental factors, the infrared image has disadvantages such as low contrast, low resolution, and low signal-to-noise ratio. In order to correctly identify the target from the infrared image and improve the quality of infrared imaging, it is necessary to properly enhance the image and selectively highlight some interest...

AI Technical Summary

Problems solved by technology

Generally, when performing non-uniformity correction and collecting correction parameters, since the incident radiation is constant, streaks will not appear in the short term, but with the passage of time and the influence of external environmental noise, the streaks that appear will gradually increase

When the image is enhanced, these stripe noises will be mistaken for the detailed information in the image, so they will be enhanced and amplified, which will eventually lead to the degradation of image quality.

Images