Image Enhancement and Adjustment Based on Histogram Equalization of Profile Compression Algorithm

Chun-Hsiang Chang, Wei-Zhe Yan, Min-Hua Lu, Ting-Wei Chen, Yi-Cheng Liu, Yu-Cheng Fan
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Abstract

With the rapid development of science and technology, the self-driving car industry is booming, increasing the use of LiDAR, digital cameras and other instruments. This paper proposes to use histogram equalization method combined with neural network to specifically enhance image in the night environment. Using histogram equalization method to achieve image enhancement is quite simple and fast, while neural network has the advantage of high accuracy.
基于直方图均衡化轮廓压缩算法的图像增强与调整
随着科学技术的快速发展,自动驾驶汽车行业蓬勃发展,越来越多地使用激光雷达、数码相机等仪器。本文提出利用直方图均衡化方法结合神经网络对夜间环境下的图像进行针对性的增强。利用直方图均衡化方法实现图像增强是一种简单、快速的方法,而神经网络具有精度高的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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