【摘要】 受煤矿井下特殊环境的影响,井下图像大多画面清晰度不高,且夹杂着大量的图像噪声,这给井下图像的进一步处理带来了很多困难.针对井下图像光照度不够、噪点较多等特点,从人眼视觉感知中的彩色细节失明及同时对比特性出发,提出了一种基于视觉特性的图像去噪新方法.该方法采用CIELab均匀颜色空间,动态决定滤波器权值,从而减少了图像轮廓边缘等细节信息的破坏,使去噪后的图像更加清晰.实验结果表明,该方法的去噪效果明显,能显著提高井下图像的主观与客观质量.更多还原

【Abstract】 Subject to the environmental impact of coal mine special,mostly underground coal mine image screen resolution was not high,and mixed with a large amount of image noise,which brought a lot of difficulties for the further image processing.For underground image illumination not enough,more noise, etc.,from the human visual perception of color blindness and simultaneous contrast characteristic detail, this paper presented an approach based on visual characteristics of the new method of image denoising.The method used a uniform CIELab color space,to dynamically determine the filter weights,thereby reducing the image contour edge information and other details of the damage and the denoised image clearer.Experimental results showed that the method de-noising effect was obvious,could significantly improve the subjective and objective downhole image quality.更多还原