Joint Noise Reduction for Contrast Enhancement in Stokes Polarimetric Imaging

Abstract

Contrast optimization is a key issue in polarimetric imaging for the purpose of target detection. In practice, the noise could induce the intensity fluctuation of the image and thus lead to the decrease of the image contrast. A joint noise reduction method is proposed for contrast enhancement in Stokes polarimetric imaging. The proposed method is based on the relation of the joint polarimetric image set, which includes four images taken to calculate Stokes vector and one image taken at the optimal state of a polarization state analyzer (PSA). By our method, the traditional contrast-enhanced image is modified to decrease the disturbance of noise, and the contrast of the image is further enhanced. Both the theoretical analysis and the real-world experimental results demonstrate that our method can effectively decrease the disturbance by the noise and thus increase the contrast of the image. In particular, it is found that the effect of the proposed method is independent of the optimal PSA state when the regular tetrahedron measurement matrix is implemented.

Polarization image fusion method with image enhancement

“…Hence, it is necessary to enhance the fused image to a certain extent. In 2019, Ren et al [17] introduced polarized light into range-gated imaging (RGI) for target detection and identification under turbid conditions; in the same year, Wang et al [18] proposed a joint noise reduction method for the contrast enhancement problem of Stokes polarization imaging; in 2021, Miao et al [19] proposed a polarization image denoising algorithm based on noise template threshold matching.…”