Lihua Zhu, Charles Wang, Guangfei Zhu, Bo Han, Heng Wang, Pei Huang, Enhua Wu
{"title":"Image spatial diffusion on GPUs","authors":"Lihua Zhu, Charles Wang, Guangfei Zhu, Bo Han, Heng Wang, Pei Huang, Enhua Wu","doi":"10.1109/APCCAS.2008.4746097","DOIUrl":null,"url":null,"abstract":"Image spatial diffusion targets on blurring small discontinuities while sharpening distinct edges. We propose two GPU-based methods to efficient generate content-aware spatial diffused images. In the first method, we apply an enhanced bilateral filter on the input image. Our filter adopts a spatial weight kernel in the form of an inverted Gaussian. This inverted-Gaussian-spatial bilateral filter (IGSB) can remove small spots in large smooth areas more efficiently than Gaussian bilateral filter that are commonly used. In the second method, we present a fast approximation of mean-shift algorithm on GPUs. Considering the parallel nature of GPUs, the process of mean-shift kernel density estimation is modified and improved to achieve satisfied color image diffusion effects.","PeriodicalId":344917,"journal":{"name":"APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCCAS.2008.4746097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Image spatial diffusion targets on blurring small discontinuities while sharpening distinct edges. We propose two GPU-based methods to efficient generate content-aware spatial diffused images. In the first method, we apply an enhanced bilateral filter on the input image. Our filter adopts a spatial weight kernel in the form of an inverted Gaussian. This inverted-Gaussian-spatial bilateral filter (IGSB) can remove small spots in large smooth areas more efficiently than Gaussian bilateral filter that are commonly used. In the second method, we present a fast approximation of mean-shift algorithm on GPUs. Considering the parallel nature of GPUs, the process of mean-shift kernel density estimation is modified and improved to achieve satisfied color image diffusion effects.