雾天降质图像清晰度恢复技术研究4000讲述教程.docxVIP

PAGE  PAGE 13 雾天降质图像清晰度恢复技术研究 摘 要 雾霾天气的情况下，在户外获取的场景图像受到该天气情况的不利影响影响，导致所获取的图像的对比度信息丢失，色彩变淡场景中信息受损，严重影响了户外计算机视觉系统的工作质量，使其无法可靠的工作。所以在雾天的天气条件下，通过图像去雾处理技术处理雾化的图像，增加雾天情况下户外场景的对比度非常重要，值得我们去开展图像去雾的研究。 本文围绕先验暗原色去雾方法开展研究，并在此方法的基础上，改进该方法。针对图像去雾的实时性要求，以及颜色失真问题作了以下处理： 将图像从RGB颜色空间转换到YUV颜色空间进行处理； 使用Guide Filter代替抠图法处理透射率t值图。 经过实验对比，证明优化后的去雾方法能有效获得清晰地图像，并且缩短了图像处理的时间，提高去雾图像的质量，满足了图像去雾的实时性要求。 关键词：暗原色去雾 大气散射模型 guide滤波器 YUV Abstract Under haze weather conditions, the outdoor scene image acquired by the adverse effects of the influence of weather conditions, resulting in the contrast of the acquired image information is lost, damaged scene color fades information, a serious impact computer vision system for outdoor work quality, making it impossible to reliably work. So in foggy weather conditions, through image processing techniques to deal with atomized mist image, increase contrast outdoor scenes under foggy conditions is very important, it is worth us to carry out research image to fog. This paper focuses on the dark color to fog a priori methods research, and based on this method, the improvement of the method. Real-time requirements for the image to go to the fog, and the color distortion problem made ??the following treatment: (1) the image from the RGB color space to YUV color space to process; (2) using guide filter instead of cutout method and treatment of transmittance t value. Through experimental comparison, the optimized to fog that method can effectively obtain a clear image, and short the time of image processing, improve the quality of the image to fog can meet the real-time requirements of image to fog. Keywords: Dark grey to fog Atmospheric scattering model guide filter YUV 目 录  TOC \o 1-3 \h \z \u  HYPERLINK \l _Toc399870531 摘 要  PAGEREF _Toc399870531 \h I  HYPERLINK \l _Toc399870532 Abstract  PAGEREF _Toc399870532 \h I  HYPERLINK \l _Toc399870533 一、绪论  PAGEREF _Toc399870533 \h 3  HYPERLINK \l _Toc399