Variational infrared image enhancement based on adaptive dual-threshold gradient field equalization |
| |
Institution: | 1. ISAE-SUPAERO, 10 Avenue Edouard Belin, Toulouse 31055, France;2. CNR-IEIIT, via Girolamo Caruso 16, Pisa, Italy |
| |
Abstract: | Infrared images are characterized by low signal to noise ratio (SNR) and fuzzy texture edges. This article introduces the variational infrared image enhancement algorithm based on gradient field equalization with adaptive dual thresholds. Firstly, we transform the image into gradient domain and get the gradient histogram. Then, we do the gradient histogram equalization. By setting adaptive dual thresholds to qualify the gradients, the image is prevented from over enhancement. The total variation (TV) model is adopted in the reconstruction of the enhanced image to suppress noise. It is shown from experimental results that the image edge details are significantly enhanced, and therefore the algorithm is qualified for enhancement of infrared images in different applications. |
| |
Keywords: | Images processing Infrared image enhancement Gradient histogram equalization Adaptive dual-threshold Total variation |
本文献已被 ScienceDirect 等数据库收录! |
|