Low-illumination image denoising method for wide-area search of nighttime sea surface

• 来源期刊: 光电子快报（英文版）
• 年，卷（期）: 2018,（3）
• 页码范围: 226-231
• 页数: 6页
• 语种: 英文
• DOI: 10.1007/s11801-018-7268-x

摘要

In order to suppress complex mixing noise in low-illumination images for wide-area search of nighttime sea surface,a model based on total variation (TV) and split Bregman is proposed in this paper.A fidelity term based on L1 normand a fidelity term based on L2 norm are designed considering the difference between various noise types,and the regularization mixed first-order TV and second-order TV are designed to balance the influence of details information such as texture and edge for sea surface image.The final detection resuh is obtained by using the high-frequency component solved from L1 norm and the low-frequency component solved from L2 norm through wavelet transform.The experimental results show that the proposed denoising model has perfect denoising performance for artificially degraded and low-illumination images,and the result of image quality assessment index for the denoising image is superior to that of the contrastive models.