Research on Infrared Sequence Image Processing Methods

In response to the problems of low resolution, severe shaking, and blurred contours in infrared imaging of unmanned mobile platforms, the collected dynamic infrared sequence images were subjected to image enhancement processing in the spatial domain. The results showed that traditional spatial domain image enhancement methods had poor performance; Subsequently, based on the two-dimensional wavelet function, the infrared image is subjected to wavelet decomposition, and the wavelet coefficients obtained from the decomposition are analyzed; Based on the requirements of infrared image processing on mobile platforms, an adaptive segmented approach is adopted to enhance low-frequency coefficients and weaken high-frequency coefficients to enhance the acquisition of dynamic infrared sequence images. The results showed that the processed image had clearer contours and well preserved details, increasing the recognition of infrared images of unmanned mobile platforms effectively.