基于高斯差分的风格化方法.docx

基于高斯差分的风格化方法
摘要
风格化艺术是指将一幅图像转化成另一风格的艺术。风格化的主要挑战在于如何处理图像中的纹理和边缘等细节信息而不失真。本文介绍了基于高斯差分的风格化方法，该方法可以对图像进行风格化加强，同时保留原始图像的高频细节信息。本文通过实验验证了该方法的有效性。
关键词：高斯差分，风格化，纹理，边缘
Introduction
Thegoalofstyletransferistotransformaninputimageintothestyleofanotherimage,ortoanewartisticstyle.Styletransferhasbeenwidelyappliedinvariousfields,suchasentertainment,advertising,anddesign.Manystyletransfermethodshavebeenproposedinrecentyears,suchasneuralstyletransfer,texturesynthesis-basedmethod,andLaplacianpyramid-basedmethod.
However,thesemethodsoftensufferfromsomelimitationssuchaslossoffinedetails,inaccuratestyletransfer,andlongprocessingtime.Inthispaper,weproposeanewstyletransfermethodbasedonGaussiandifference,whichcanenhancethestyleoftheimagewhilepreservingthehigh-frequencydetailsoftheoriginalimage.
Methodology
Gaussiandifferenceisapopularmethodforimageprocessing,whichisusedtodetectedgesinimages.ThemethodinvolvesconvolvingtheimagewithtwoGaussianfiltersofdifferentsizesandthensubtractingtheresultsofthetwoconvolutions.Inotherwords,itcomputesthedifferencebetweentwosmoothedversionsoftheimage.Theresultingimagehighlightstheedgesoftheoriginalimage.
OurstyletransfermethodisbasedontheGaussiandifferencemethod,whichcanbedescribedasfollows:
1.Preprocessing:Theinputimageisfirstpreprocessedtoextractitscontentandstylefeatures.Thecontentfeaturerepresentstheunderlyingstructureanddetailsoftheimage,whilethestylefeaturerepresentstheoverallappearanceandtextureoftheimage.
2.Styletransfer:ThestylefeatureisenhancedtoproduceastylizedimageusingaGaussianpyramid-basedmethod.TheGaussianpyramidisatechniquefordown-samplinghigh-resolutionimagesintoaseriesoflow-resolutionimages,eachwithasmallersizethanthepreviousone.Theresultingimagesformapyramid-likestructure,andeachlevelinthepyramidrepresentsadifferentscaleoftheimage.
3.High-frequencydetailsenhancement:Thehigh-frequencydetailsoftheoriginalimageareextractedusingtheGaussiandifferencemethod.Theresultingimagehighlightstheedgesandtextureoftheoriginalimage.Thehigh-frequencydetails