Boundary-representable partition of unity for image magnification  

作　　者：NAGAI Yukie OHTAKE Yutaka YOKOTA Hideo SUZUKI Hiromasa 

机构地区：[1]School of Engineering, The University of Tokyo,153-8904, Japan [2]Bio-Research Infrastructure Construction Team,ASI, RIKEN, 351-0198, Japan [3]RCAST, The University of Tokyo,153-8904, Japan

出　　处：《Science China(Information Sciences)》2013年第11期212-223,共12页中国科学（信息科学）（英文版）

摘　　要：This paper proposes a simple yet effective algorithm to magnify 2D/3D images with preserving discontinuities of intensity. Our algorithm is based on the partition of unity （PU） approximation, which offers many advantages such as smooth representation, noise-robustness, and precise representation. Unfortunately, PU encounters difficulties when scaling images and maintaining boundaries within images owing to the nature of its approximation. To overcome this problem, we propose an approximation that preserves discontinuities. This is realized by dividing the local spherical support of PU into two parts along a locally detected discontinuity and by individually approximating intensities on each side of the discontinuity. This algorithm is suitable for magnifying a variety of images, including scanned documents, pictures, and CT-scanned images. To demonstrate the effectiveness of the proposed method, we show some experimental results for 2D/3D images.This paper proposes a simple yet effective algorithm to magnify 2D/3D images with preserving discontinuities of intensity. Our algorithm is based on the partition of unity （PU） approximation, which offers many advantages such as smooth representation, noise-robustness, and precise representation. Unfortunately, PU encounters difficulties when scaling images and maintaining boundaries within images owing to the nature of its approximation. To overcome this problem, we propose an approximation that preserves discontinuities. This is realized by dividing the local spherical support of PU into two parts along a locally detected discontinuity and by individually approximating intensities on each side of the discontinuity. This algorithm is suitable for magnifying a variety of images, including scanned documents, pictures, and CT-scanned images. To demonstrate the effectiveness of the proposed method, we show some experimental results for 2D/3D images.

关 键 词：image approximation partition of unity piecewise smooth function volume data MAGNIFICATION 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]