An Algorithm of Image Reconstruction Based on Rational Interpolation with Rectangle-Hole Structure

Chunjing Li, Duanduan Ma, Hui Li
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Abstract

Digital image reconstruction is an important problem in Digital image application, the credibility of near damaged points is very important to image reconstruction. This paper presents a method for digital image reconstruction, which is built up by the numerical values of the gray of nearer points. The method transfers image reconstruction problem with the damaged pixel holes of the rectangular grid to rational interpolation problem. Using the rational interpolation improved in the paper, the method can improve the credibility of near damaged points. Originally, When the line or the column has the damaged pixel points which need to reconstruction, the classical method of Newton-Thiele rational interpolation can't use the numerical values of the gray of the pixel points of the line or the column. The rational interpolation method improved in the paper can avoid this phenomenon.
基于矩形孔结构有理插值的图像重建算法
数字图像重建是数字图像应用中的一个重要问题,近损伤点的可信度对图像重建至关重要。提出了一种利用近点灰度值建立数字图像重建的方法。该方法将矩形网格中受损像素孔的图像重建问题转化为有理插值问题。采用本文改进的有理插值方法,提高了近破损点的可信度。传统的Newton-Thiele有理插值方法在线或列中存在需要重建的损坏像素点时,无法利用线或列中像素点的灰度值。本文改进的有理插补方法可以避免这种现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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