摘要
论述了水下低照度条件下微光成像过程及其特点,提出像增强器电噪声和光学噪声是导致成像质量恶化的主要原因.设计了一种针对水下微光电视图像增强的新的处理方案:在用帧积分法消除像荧光屏的低通特性、光源电压纹波造成增强器光学噪声的基础上,用提出的多模型数据融合方法(AMMDFM),达到突出景物边缘、改善图像对比度的目的.
The imaging process and properties of underwater low-light-level image are discussed and the main reason that electrical and optical noises of the image enhancement device worsen image quality is proposed. A new disposing scheme aimed at the underwater low-light-level TV image is developed, on the basis of the Frame Integral method to eliminate the low-pass property of the image fluorescence screen and the optical noise of the enhancement device induced by the light source voltage ripple. By using the Arithmetics-Multi-Model-Data-Fusion-Method proposed by the author, the scenery＇s edge becomes much clearer and the contrast degree of the image is improved. Experimental results show that the observation effect of the processed image is satisfactory.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2006年第4期543-546,562,共5页
Journal of Xidian University
基金
西安电子科技大学青年基金资助项目(03003)
关键词
水下微光电视
图像增强
帧积分
算法多模型数据融合
underwater low-light-level TV
image enhancement
frame integral
Arithmetics-Multi-Model-Data-Fusion- Method
