{"title":"基于最大电流AC-DCT的视觉传感器网络彩色数字图像融合性能评价","authors":"Arun Begill, Shruti Puniani, Kamaljot Singh, Navjot Kaur","doi":"10.1109/DSP-SPE.2015.7369587","DOIUrl":null,"url":null,"abstract":"This paper presents an efficient digital image fusion strategy that is created for Visual Sensor Networks(VSN's) to work in resource restricted, hazardous environments like battlefields. We aimed to use multiple partially unfocused colored images to develop a single multi-focus image using Discrete Cosine Transformation(DCT) depending on maximum value Alternating Current(AC) coefficients. This technique is beneficial in computation restricted environments of reduced computational powered devices to achieve image quality of higher degree. Our experiments shown that, the evaluated technique had produced better quality images as compared to other available methods of fusion in DCT domain.","PeriodicalId":91992,"journal":{"name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","volume":"22 1","pages":"397-402"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating the performance of max current AC-DCT based colored digital image fusion for Visual Sensor Network's\",\"authors\":\"Arun Begill, Shruti Puniani, Kamaljot Singh, Navjot Kaur\",\"doi\":\"10.1109/DSP-SPE.2015.7369587\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an efficient digital image fusion strategy that is created for Visual Sensor Networks(VSN's) to work in resource restricted, hazardous environments like battlefields. We aimed to use multiple partially unfocused colored images to develop a single multi-focus image using Discrete Cosine Transformation(DCT) depending on maximum value Alternating Current(AC) coefficients. This technique is beneficial in computation restricted environments of reduced computational powered devices to achieve image quality of higher degree. Our experiments shown that, the evaluated technique had produced better quality images as compared to other available methods of fusion in DCT domain.\",\"PeriodicalId\":91992,\"journal\":{\"name\":\"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)\",\"volume\":\"22 1\",\"pages\":\"397-402\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSP-SPE.2015.7369587\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSP-SPE.2015.7369587","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluating the performance of max current AC-DCT based colored digital image fusion for Visual Sensor Network's
This paper presents an efficient digital image fusion strategy that is created for Visual Sensor Networks(VSN's) to work in resource restricted, hazardous environments like battlefields. We aimed to use multiple partially unfocused colored images to develop a single multi-focus image using Discrete Cosine Transformation(DCT) depending on maximum value Alternating Current(AC) coefficients. This technique is beneficial in computation restricted environments of reduced computational powered devices to achieve image quality of higher degree. Our experiments shown that, the evaluated technique had produced better quality images as compared to other available methods of fusion in DCT domain.