基于retinex和伪hdr合成算法的内镜图像质量增强

J. Wu, Guo-Shiang Lin, Hsiao-Ting Hsu, You-Peng Liao, Kai-Che Liu, W. Lie
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引用次数: 10

摘要

在本文中,我们提出了一种内镜图像的质量增强方案。传统的算法可以增强图像对比度,但可能的过度增强也会导致整体视觉质量差,妨碍外科医生在微创手术(MIS)中准确检查或操作器械。我们提出的方案将著名的retinex算法与伪HDR(高动态范围)合成过程相结合,设计由三个部分组成:带伽马校正的多尺度retinex (MSR-G)、局部亮度范围扩展(亮度多样性)和基于双边滤波器的HDR图像融合。实验结果表明,与现有方法相比,该方法在增强图像细节的同时,还能保持较好的整体视觉质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quality enhancement based on retinex and pseudo-HDR synthesis algorithms for endoscopic images
In this paper, we present a quality enhancement scheme for endoscopic images. Traditional algorithms might be able to enhance the image contrast, but possible over-enhancement also lead to bad overall visual quality which prevents surgeons from accurate examination or operations of instruments in Minimal Invasive Surgery (MIS). Our proposed scheme integrates the well-known retinex algorithm with a pseudo-HDR (High Dynamic Range) synthesis process, designed to compose of three parts: multiscale retinex with gamma correction (MSR-G), local brightness range expansion (brightness diversity), and bilateral-filter-based HDR image fusion. Experiment results demonstrate that the proposed scheme is able to enhance image details and keep the overall visual quality good as well, with respect to other existing methods.
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