Nahin Ul Sadad, Afsana Afrin, Md. Nazrul Islam Mondal
{"title":"基于FPGA的直方图均衡化图像处理","authors":"Nahin Ul Sadad, Afsana Afrin, Md. Nazrul Islam Mondal","doi":"10.1109/ICEEE54059.2021.9718837","DOIUrl":null,"url":null,"abstract":"Histogram Equalization is one of the most common algorithms used in image processing applications. Traditional software based histogram equalization using CPU is no longer sufficient for high-computation based real-time image processing applications. To meet high computation demand, image processing operations can be hardware accelerated using Field Programmable Gate Array (FPGA). In this paper, we implemented histogram equalization using Verilog Hardware Description Language (HDL) on Xilinx FPGA for hardware acceleration. The result shows that our FPGA-based histogram equalization is on average 1.5 thousand times faster than traditional software based histogram equalization on CPU.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"FPGA based Histogram Equalization for Image Processing\",\"authors\":\"Nahin Ul Sadad, Afsana Afrin, Md. Nazrul Islam Mondal\",\"doi\":\"10.1109/ICEEE54059.2021.9718837\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Histogram Equalization is one of the most common algorithms used in image processing applications. Traditional software based histogram equalization using CPU is no longer sufficient for high-computation based real-time image processing applications. To meet high computation demand, image processing operations can be hardware accelerated using Field Programmable Gate Array (FPGA). In this paper, we implemented histogram equalization using Verilog Hardware Description Language (HDL) on Xilinx FPGA for hardware acceleration. The result shows that our FPGA-based histogram equalization is on average 1.5 thousand times faster than traditional software based histogram equalization on CPU.\",\"PeriodicalId\":188366,\"journal\":{\"name\":\"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEEE54059.2021.9718837\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEE54059.2021.9718837","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FPGA based Histogram Equalization for Image Processing
Histogram Equalization is one of the most common algorithms used in image processing applications. Traditional software based histogram equalization using CPU is no longer sufficient for high-computation based real-time image processing applications. To meet high computation demand, image processing operations can be hardware accelerated using Field Programmable Gate Array (FPGA). In this paper, we implemented histogram equalization using Verilog Hardware Description Language (HDL) on Xilinx FPGA for hardware acceleration. The result shows that our FPGA-based histogram equalization is on average 1.5 thousand times faster than traditional software based histogram equalization on CPU.