Terahertz image enhancing based on the physical model and multiscale retinex algorithm

To settle the terahertz (THz) image degradation problem, we propose an effective enhancement method based on the physical model and multiscale retinex (MSR) algorithm. The overall enhancing process involves two parts: reconstruction and enhancement. First, the original THz images are reconstructed by a mathematical model, which is built and considered the THz absorption variate and Gaussian distribution of the beam. Then, the original images are processed by the proposed algorithm, which combines the atmospheric scattering model and optimized MSR algorithm. The proposed algorithm not only recovers the image scene radiance and removes haze, but also can make a compromise of the dynamic range of gray scale and edge enhancement of the image. Results on a variety of THz images demonstrate our method can effectively improve the quality of THz images and retain sufficient image details. (c) 2022 Optica Publishing Group

Automated summary

In this study, an effective enhancement method based on a physical model and multiscale Retinex algorithm is proposed for addressing the terahertz image degradation problem. The method involves reconstruction and enhancement processes, and it successfully recovers image radiance, removes haze, and achieves a balance between the dynamic range of grayscale and edge enhancement.