Infrared image enhancement method based on regional saliency recognition
1. School of Electronic Information, Nanjing Vocational College of Information Technology, Nanjing, Jiangsu 210023, China; 2. School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, China; 3. People′s Liberation Army of China 94826, Shanghai 200020, China
Abstract:To solve the problems of insufficient texture details and contrast reduction in infrared images, the infrared image enhancement method was proposed based on the regional saliency recognition. The saliency and non-saliency regions of infrared images were recognized based on the constructed infrared image saliency feature map. The transmission map of the inverted infrared image was estimated via the dark channel prior, and the estimated transmission map was corrected based on the recognition results. The enhanced infrared image was obtained based on the simplified atmospheric scattering model, and the corresponding edge future was further enhanced via the change of details prior. The experiments were conducted using various types of infrared images, and the proposed method was subjectively and objectively compared with several current mainstream infrared image enhancement methods. The experimental results show that the proposed method has good robustness, and the average new visible edge ratio and the average contrast gain can reach 4.15 and 6.47, respectively. The human-vision-based image visibility can be improved by 33%.
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