PDF(1034 KB)
PDF(1034 KB)
PDF(1034 KB)
海上远距离目标探测中的红外图像增强算法
Algorithm of infrared image enhancement for detecting far target at sea
为提高图像的视觉效果,增加远距离目标的检测效率,在分析海上红外图像特征和傅里叶变换频谱特点的基础上,提出“十字形”高斯带通滤波算法,并对该算法进行实验验证.结果表明,该算法能够改善海上红外图像的亮度,抑制海面噪声,增强目标的细节信息,进而提高海上红外图像的视觉效果.
In order to improve the visual effect of the infrared image at sea and the efficiency of far target detection, a “Cross-Shaped” Gauss band pass filter algorithm was proposed and verified based on analyzing the spatialdomain and frequencydomain characteristic of infrared image at sea. Experiment results show that the “CrossShaped” Gauss band pass filter algorithm can decrease the sea noise, enhance the brightness and detail information of infrared image at sea, and then improve the visual effect.
infrared image at sea / image enhancement / Fourier transformation / band-pass filter
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