Okuhata Hiroyuki, Nakamura Hajime, Hara Shinsuke, Tsutsui Hiroshi, Onoye Takao
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:3407-10. doi: 10.1109/EMBC.2013.6610273.
This paper presents a real-time image enhancement technique for gastric endoscopy, which is based on the variational approach of the Retinex theory. In order to efficiently reduce the computational cost required for image enhancement, processing layers and repeat counts of iterations are determined in accordance with software evaluation result, and as for processing architecture, the pipelining architecture can handle high resolution pictures in real-time. To show its potential, performance comparison between with and without the proposed image enhancement technique is shown using several video images obtained by endoscopy for different parts of digestive organ.
本文提出了一种基于Retinex理论变分方法的胃内窥镜实时图像增强技术。为了有效降低图像增强所需的计算成本，根据软件评估结果确定处理层和迭代重复次数，在处理架构方面，流水线架构可实时处理高分辨率图像。为展示其潜力，使用通过内窥镜获得的不同消化器官部位的多个视频图像，对有无该图像增强技术的性能进行了比较。
