3D Image Sharpening by Grid Warping

被引：3

作者：

Krylov, Andrey S. ^{[1
]}

Nasonov, Andrey V. ^{[1
]}

机构：

[1] Moscow MV Lomonosov State Univ, Fac Computat Math & Cybernet, Lab Math Methods Image Proc, Moscow, Russia

来源：

INTELLIGENCE SCIENCE AND BIG DATA ENGINEERING: IMAGE AND VIDEO DATA ENGINEERING, ISCIDE 2015, PT I | 2015年 / 9242卷

关键词：

3D image sharpening; Grid warping; Deblurring; micro CT; Volume images; SHOCK FILTERS; CONTRAST ENHANCEMENT;

D O I：

10.1007/978-3-319-23989-7_45

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A method for sharpening of 3D volume images has been developed. The idea of the proposed algorithm is to transform the 3D neighborhood of the edge so that the neighboring pixels move closer to the edge, and then resample the image from the warped grid to the original pixel grid. The proposed technique preserves image textures while making the edges sharper. The effectiveness of the proposed method is demonstrated with synthetic volume images and real micro CT images.

引用

页码：441 / 450

页数：10

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