Open AccessEnhancement of dim targets in a sea background based on long‐wave infrared polarisation features
Author(s) -
Zhang JingHua,
Zhang Yan,
Shi ZhiGuang
Publication year - 2018
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/iet-ipr.2018.5607
Subject(s) - contrast (vision) , transformation (genetics) , fuse (electrical) , noise (video) , signal to noise ratio (imaging) , image (mathematics) , artificial intelligence , energy (signal processing) , intensity (physics) , optics , computer science , mathematics , pattern recognition (psychology) , physics , statistics , biochemistry , chemistry , quantum mechanics , gene
According to Fresnel's formula and the energy conservation law, a model combining the infrared reflected effect and emitted effect is developed to calculate the polarisation degree. With this model, the polarisation degree difference between the sea surface and ship target in long‐wave infrared is simulated. To solve the problem of dim targets detection in a sea background, based on the polarisation difference of the sea surface and ship targets, a method of the non‐subsampled shearlets transformation is proposed to fuse the intensity image and polarisation image. The algorithm of distribution coefficients is applied to improve the contrast ratio between targets to background in low‐frequency subbands. The denoise scheme of the adaptive threshold is adopted to suppress noise and the conceptions of local direction contrast and region gradient are used as a choosing scheme to the preserve features and edges of images in high‐frequency subbands. Image evaluation indices of target contrast with the background and local signal‐to‐noise ratio are used to evaluate the enhancement effect of fused images. Results show that the evaluation indices of fused images with polarisation features are significantly improved, and comparisons with existing methods demonstrate the effectiveness and reliability of the proposed method.