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A color reproduction method with image enhancement for endoscopic images

机译:用于内窥镜图像的具有图像增强的色彩再现方法

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This paper presents an efficient color image enhancement method for endoscopic images. The enhancement is achieved in two parts: image enhancement at gray level followed by a color reproduction. The captured RGB endoscopic images are first converted into three 2-D spectral images using a well-known method called FICE (Fuji Intelligent Color Enhancement). Then the image with the maximum entropy is selected as the base image to be used for color reproduction in the next stage. In color reproduction, the chrominance map of a source color image is added to the base image. This chrominance map is found by matching luminance and texture information between these two images based on neighborhood statistic method. The distance between luminance components of base gray image and source color images is calculated using 2-norm Euclidean distance. The proposed method highlights some of the tissue characteristics in the base endoscopic image which will enable better diagnosis. The performance of the scheme is compared with other related algorithms in terms of simulation speed, image quality, efficiency of color reproduction and distortion.
机译:本文提出了一种有效的彩色图像内窥镜图像增强方法。增强分为两个部分:灰度图像增强,然后进行色彩还原。首先使用称为FICE(富士智能色彩增强)的众所周知的方法将捕获的RGB内窥镜图像转换为三个2-D光谱图像。然后,将具有最大熵的图像选择为基础图像,以用于下一阶段的颜色再现。在彩色再现中,将源彩色图像的色度图添加到基础图像。通过基于邻域统计方法在这两个图像之间匹配亮度和纹理信息,可以找到此色度图。使用2范数欧式距离计算基础灰度图像和源彩色图像的亮度分量之间的距离。所提出的方法突出了基础内窥镜图像中的一些组织特征,这将使更好的诊断成为可能。在仿真速度,图像质量,色彩再现和失真效率方面,将该方案的性能与其他相关算法进行了比较。

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