Abstract
According to typical problems of low signal to noise ratio and fuzzy edges of target details in an infrared image, this article proposes a infrared image enhancement algorithm for image details based on gradient histogram transform. By analyzing the gradient histogram of the infrared image, a Gaussian function to extend the gradient histogram was constructed to increase the gradient value. By using the histogram specification method to realize the image gradient histogram specification, the transform gradient field was obtained. The Total Variation (TV) model was introduced to control the noise while reconstructing the gradient field. The experiment results indicate that the image information entropy of the algorithm is improved significantly as compared with that of histogram equalization method and specification method. Therefore, it enhances image details and gives qualified image information for target detection, tracking and identification. Based on the finite difference iteration and Visiual C + + programming, the proposed algorithm has image processing time of about 40 ms for an image with the size of 480 pixel 480 pixel, which satisfies the requirements of engineering applications in image processing.
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