Invariant image reconstruction from irregular samples and hexagonal grid splines

被引：9

作者：

Faille, Flore ^{[1
]}

Petrou, Maria ^{[1
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, Dept Elect & Elect Engn, London SW7 2AZ, England

来源：

IMAGE AND VISION COMPUTING | 2010年 / 28卷 / 08期

关键词：

Image compression; Hexagonal grids; Image reconstruction; Hexagonal splines; Nonuniform sampling; Bio-inspired approaches; SCATTERED DATA INTERPOLATION; ALGORITHM;

D O I：

10.1016/j.imavis.2009.12.001

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present an algorithm for the reconstruction of images from irregularly placed samples, using linear splines with control points on a hexagonal grid. Several spline approximations are computed for different transformations of the control point grid (e.g. translations and rotations). These approximations are then merged together after compensation of the transformations, yielding a high-quality invariant image reconstruction. Evaluations show that the use of hexagonal grids of the "invariance by integration" principle improves reconstruction quality. An application to image coding is also presented. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：1173 / 1183

页数：11