高级检索

    张晴, 林家骏, 高深. 基于色差分析的图像修复改进算法[J]. 华东理工大学学报(自然科学版), 2011, (3): 367-371.
    引用本文: 张晴, 林家骏, 高深. 基于色差分析的图像修复改进算法[J]. 华东理工大学学报(自然科学版), 2011, (3): 367-371.
    ZHANG Qing, LIN Jia-jun, GAO Shen. An Improved Colors-Analysis-Based Algorithm of Image Inpainting[J]. Journal of East China University of Science and Technology, 2011, (3): 367-371.
    Citation: ZHANG Qing, LIN Jia-jun, GAO Shen. An Improved Colors-Analysis-Based Algorithm of Image Inpainting[J]. Journal of East China University of Science and Technology, 2011, (3): 367-371.

    基于色差分析的图像修复改进算法

    An Improved Colors-Analysis-Based Algorithm of Image Inpainting

    • 摘要: 逐块修复的图像修复算法对修复边缘敏感,目前普遍采用的基于等照度线的修复优先权确定方法并不能很好地区分图像的结构和纹理成分,使得修复效果依赖于图像掩码的初始边缘且对于纹理和结构高度混杂的区域不能有很好的修复效果。提出了一种基于色差分析的图像修复改进算法,根据待修复像素块与邻域像素块的像素值变化确定修复优先权。实验结果表明:该方法大大降低了对掩码的依赖性,且在平坦区域、纹理和结构混合区域均具有较好的修复效果,修复效果自然、平滑且符合人眼视觉要求。

       

      Abstract: Due to the sensitiveness of exemplar-based image repairing algorithm to the fill-front, the current popular algorithm is based on the isophote to decide the priority of reparing. However, the latter cannot distinguish well between the image structure and texture such that the repairing result depends on the image mask and work poorly at the regions composed of complicated texture and structure. This paper proposes an improved colors-analysis-based algorithm, in which the priority is determined according to the color variance between the unknown patch and its neighboring patches. The experiment results show that this proposed method reduces greatly dependence on the mask and ensures the better performance of high quality.

       

    /

    返回文章
    返回