{"title":"An effective image halftoning and inverse halftoning technique based on HVS","authors":"Zhang Xiaohua, Liu Fang, Jiao Licheng","doi":"10.1109/ICCIMA.2003.1238166","DOIUrl":null,"url":null,"abstract":"In this paper we propose an effective image halftone and inverse technique based on HVS function. First, a new quantity PPSNR is defined to measure the difference between new image and the original image, at the same time new error diffusion coefficients are constructed to give a halftone image with better texture, contrast, last a new low pass filter is constructed to inverse the halftone with a higher PSNR and PPSNR. The proposed algorithm is significantly simpler than most existing algorithms. We also present experiment result to demonstrate the effectiveness of the proposed algorithm.","PeriodicalId":385362,"journal":{"name":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIMA.2003.1238166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In this paper we propose an effective image halftone and inverse technique based on HVS function. First, a new quantity PPSNR is defined to measure the difference between new image and the original image, at the same time new error diffusion coefficients are constructed to give a halftone image with better texture, contrast, last a new low pass filter is constructed to inverse the halftone with a higher PSNR and PPSNR. The proposed algorithm is significantly simpler than most existing algorithms. We also present experiment result to demonstrate the effectiveness of the proposed algorithm.