【摘要】 为解决煤矿井下图像质量差、图像清晰度差、可分辨率低、模糊等问题,针对多尺度Retinex增强算法存在的不足,提出一种改进的基于S曲线函数的多尺度Retinex图像增强算法,该S曲线函数不同于基本的sig函数,函数图像具有S形状,为不对称函数.研究结果表明:应用改进后的算法,处理后的图像在有效增强目标图像的同时也抑制了背景噪声,图像的对比度与质量得到提高,能够获得目标区域的最佳视觉效果.更多还原

【Abstract】 To solve the problems of images in coal mine, such as the poor underground image quality, low resolution, blurred and indistinct. According to the defects of the multi- scale Retinex enhancement algorithm, An improved algorithm for multi- scale Retinex image enhancement based on S curve function is proposed, The S curve function is different from the basic sig function, which has the S shape, and non symmetry. The experimental results show that the improved algorithm can enhance the target image, restrain the background noise, improve the quality and the contrast of the original image, and get the best visual effects of the target zone.更多还原