像素数据重构的LED屏亮度与对比度的优化研究  

Optimization of Brightness and Contrast of LED Screen Based on Pixel Data Reconstruction

作　　者：简文琪 JIAN Wenqi(Shenzhen Bescanled Co.,Ltd.,Shenzhen Guangdong 518000,China)

机构地区：[1]深圳市佰仕能电子有限公司,广东深圳518000

出　　处：《信息与电脑》2024年第9期87-89,共3页Information & Computer

摘　　要：随着LED显示技术的广泛应用,图像处理技术在LED屏幕亮度和对比度优化方面展现出关键作用。本研究着重探讨了伽马校正、HSV色彩空间转换以及小波变换等核心算法,如何通过优化像素数据来提升LED屏幕的显示效果。通过实验分析,伽马校正能有效调整亮度,HSV转换优化了色彩的饱和度与对比度,而小波变换则在保持图像细节的同时,提高了图像的整体视觉质量。研究表明,综合这些图像处理技术能显著提高LED屏幕的显示清晰度和视觉效果,这对于广告显示、公共信息展示等领域具有实际应用价值。With the wide application of LED display technology,image processing technology plays a key role in the optimization of LED screen brightness and contrast.This study focuses on the core algorithms such as gamma correction,HSV color space conversion and wavelet transform,and how to improve the display effect of LED screen by optimizing pixel data.Through experimental analysis,gamma correction can effectively adjust brightness,HSV transform optimizes color saturation and contrast,while wavelet transform improves the overall visual quality of the image while maintaining the details of the image.The research shows that integrating these image processing technologies can significantly improve the display clarity and visual effect of LED screen,which has practical application value for advertising display,public information display and other fields.

关 键 词：LED屏幕优化 图像处理技术 伽马校正 HSV色彩空间 小波变换 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]