生命科学和诊断领域的数字化力量与艺术图像增强

Shuo Li, Jianjun Li
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引用次数: 0

摘要

传统的图像增强处理方法在处理时受到图像背景与增强对象对比度的限制,导致图像增强处理效果差,处理效率低。随着技术的发展,数字电子的应用也在不断扩大。为了解决上述问题,通过研究基于数字电子学的汉字艺术图像增强方法,探索了数字电子学在图像增强中的应用。使用数字电子技术对汉字艺术图像进行数字编码和汉字信息处理。利用PLIP模型对Retinex增强算法进行了改进,实现了汉字艺术图像的增强过程。仿真结果表明,所研究的图像增强方法可以有效地将处理效率提高约50%,并且图像增强过程更加有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Power of Digitalization in the Life Sciences and Diagnostics Sectors with art image enhancement
The traditional image enhancement processing method is limited by the contrast between image background and enhancement object when processing, which leads to poor image enhancement processing effect and low processing efficiency. With the development of technology, the application of digital electronics is expanding. In order to solve the above problems, the application of digital electronics in image enhancement is explored by studying the method of Chinese character art image enhancement based on digital electronics. Digital coding and Chinese character information processing of Chinese character art images using digital electronics. Retinex enhancement algorithm is improved by using PLIP model to realize Chinese character art image enhancement process. The simulation results demonstrate that the studied image enhancement method can effectively improve the processing efficiency by about 50%, and the image enhancement process is more effective.
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