Abstract: Image texture removal is a fundamental problem in image processing.It aims to decompose an image into texture patterns and structure features.Many filters have been proposed for removing image textures.However,these techniques suffer from some problems in balancing the performance among texture distinction,texture removal and time efficiency.In this paper,an interval gradient-based filter was proposed to remove image textures.First,to simplify the prior model,interval gradient is employed to extract the structure features.And the binary map that separates the structures from texture is achieved,which will be used as a guidance image when the filtering texture regions are processed.Then,to deal with complicated texture patterns, the shift smoothing technique is incorporated into joint bilateral filtering,and the pixel possessing the maximal color difference with the target pixel is selected as the center point for color weight distribution,so that it can dominate the filtering process.Experiments show that the proposed method can be applied to various types of texture images,achieving both effective texture removal and high time efficiency.Moreover,this method can better preserve the edge features attributing to fewer iteration times required for obtaining similar results of texture removal. 〖BHDWG1,WK32,WK44,WK42W〗第3期 魏明强 ,等:基于区间梯度的联合双边滤波图像纹理去除方法

Key words: Image texture removal,Joint bilateral filtering,Interval gradient,Shift smoothing technique