Enhancing method and system for infrared image being converted to pseudo color image in self-adaptive mode

Abstract

The invention provides an enhancing method and system for an infrared image being converted to a pseudo color image in a self-adaptive mode. The method comprises the steps that de-noising processing is conducted on the input infrared image according to median filtering; edge extraction is conducted on the infrared image according to Sobel edge detection; normalization processing is conducted on generated data with enhanced image details, and the data are converted to gray data; histogram statistic and mapping color code article bound calculation are conducted on the gray data; according to a histogram statistic result and color code bounds, color space conversion is conducted on the basis of a mapping rule. Compared with the prior art, the enhancing method and system for the infrared image being converted to the pseudo color image in the self-adaptive mode have the advantages that the purposes of enhancing the image details and reducing image noise are achieved, the dynamic range of the infrared image can be stretched in real time, an observed object is protruded at the same time when the background is compressed, image definition and the image contrast ratio are improved, and the high-quality pseudo color image is output. The image quality is ensured and the imaging effect is greatly improved when the dynamic range of the image is stretched and the image details are enhanced.

Description

technical field [0001] The invention relates to the technical field of infrared imaging, in particular to an infrared image self-adaptive conversion false color enhancement method and system. Background technique [0002] At present, the infrared focal plane detector technology is becoming more and more mature, and it is widely used in public security, fire protection, military and other fields. The data collected by the infrared focal plane undergoes non-uniformity correction to form grayscale data. The grayscale data needs to undergo pseudo-color conversion before it can be displayed as a displayable image. [0003] Since infrared image data has the characteristics of strong spatial correlation, low resolution, and small dynamic range, random interference from the external environment and imperfect thermal imaging systems will bring a variety of complex noises. Observe that there is a big difference in image quality, and different effects will directly affect user experie...

AI Technical Summary

Problems solved by technology

[0005] In the prior art, the commonly used conversion method expands the image space while expanding the image noise. At the same time, it cannot adapt to the scene change well, and the imaging effect is not ideal.

Images