Hardware Implementation of Image Dehazing Mechanism using Verilog HDL and Parallel DCP

Avrajit Ghosh, Sangita Roy, Sheli Sinha Chaudhuri
{"title":"Hardware Implementation of Image Dehazing Mechanism using Verilog HDL and Parallel DCP","authors":"Avrajit Ghosh, Sangita Roy, Sheli Sinha Chaudhuri","doi":"10.1109/ASPCON49795.2020.9276702","DOIUrl":null,"url":null,"abstract":"In image processing technology, one of the prime applications is the dehazing process. And it is still a challenge in implementing the corresponding algorithm in hardware. In this paper we propose an atmospheric light estimation method without any complex logic. This makes easy implementation on hardware level. We have also used the Independent Transmission Rate Estimation (ITRE) for calculation of transmission coefficient parallel to the calculation of the atmospheric light. This procedure enhances the time complexity and the quality of the dehazed image. Compared to other logic studies this logic shows a competitive response.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Applied Signal Processing Conference (ASPCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPCON49795.2020.9276702","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In image processing technology, one of the prime applications is the dehazing process. And it is still a challenge in implementing the corresponding algorithm in hardware. In this paper we propose an atmospheric light estimation method without any complex logic. This makes easy implementation on hardware level. We have also used the Independent Transmission Rate Estimation (ITRE) for calculation of transmission coefficient parallel to the calculation of the atmospheric light. This procedure enhances the time complexity and the quality of the dehazed image. Compared to other logic studies this logic shows a competitive response.
基于Verilog HDL和并行DCP的图像去雾机制硬件实现
在图像处理技术中,主要应用之一是除雾处理。在硬件上实现相应的算法仍然是一个挑战。本文提出了一种不需要复杂逻辑的大气光估计方法。这使得硬件层的实现变得容易。我们还使用独立传输速率估计(ITRE)来计算与大气光计算平行的传输系数。该方法提高了去雾图像的时间复杂度和质量。与其他逻辑研究相比,该逻辑表现出竞争性反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信