Research on Luminance Equalization Compensation Technology for Multi-Granularity Rough Image

NAN Li-li

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Research on Luminance Equalization Compensation Technology for Multi-Granularity Rough Image

更新时间：2026-09-04

- Research on Luminance Equalization Compensation Technology for Multi-Granularity Rough Image
- Vol. 34, Issue 3, Pages: 120-124(2017)
- 作者机构：
  
  运城学院机构计算机科学与技术系,山西,运城,044000
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2017
- 稿件说明：
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南丽丽. 多粒度粗糙图像的亮度均衡补偿技术研究[J]. 微电子学与计算机, 2017, 34(3): 120-124.

NAN Li-li. Research on Luminance Equalization Compensation Technology for Multi-Granularity Rough Image[J]. 2017, 34(3): 120-124.
南丽丽. 多粒度粗糙图像的亮度均衡补偿技术研究[J]. 微电子学与计算机, 2017, 34(3): 120-124. DOI：

NAN Li-li. Research on Luminance Equalization Compensation Technology for Multi-Granularity Rough Image[J]. 2017, 34(3): 120-124. DOI：

摘要

在成像亮度环境比较差的条件下采集的图像粒度多

较为粗燥

需要通过亮度均衡补偿

提高成像质量.提出一种基于RGB灰度分解的多粒度粗糙图像的亮度均衡补偿技术

对采集的多粒度粗糙图像采用小波多尺度提升方法进行降噪处理

对降噪输出图像采用RGB分解方法得到三个分量的灰度图像

分别对三个分量的灰度图像通过稀疏先验正则化叠加方法实现信息融合

通过子块连续遍历方法对图像亮度不均衡区域进行白平衡补偿

实现多粒度粗糙图像的亮度均衡处理.仿真结果表明

采用该技术进行夜间亮度条件不足环境下的图像采集

具有较好的成像效果

输出图像的峰值信噪比较高

亮度均匀均衡

像素相关性较强

成像直观视觉和参量指标表现上都优于传统方法.

Abstract

Under the condition that the image brightness environment is relatively poor

the image size is much

and it is relatively coarse. It is needed to compensate the luminance balance and improve the image quality. A multigranulation rough image brightness compensation technology is proposed based on RGB gray decomposition

the collected multigranulation rough image using multi-scale wavelet de-noising method to improve the output image

the noise reduction using RGB decomposition method to get the three components of the gray image

gray image of the three divided components by regular sparse prior overlay method to realize information fusion

through continuous sub block traversal method of image brightness uneven regional white balance compensation

realize the multigranulation rough equalization of image brightness. The simulation results show that the image acquisition conditions under the environment of light at night using the technique has better imaging effect and image output high peak signal to noise ratio

uniform brightness balance

pixel correlation strong visual and imaging performance parameters is superior to the traditional method.

关键词

Keywords

references

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