An adaptive irregular sampling algorithm and its application to image coding

被引：38

作者：

Ramponi, G ^{[1
]}

Carrato, S ^{[1
]}

机构：

[1] Univ Trieste, DEEI, I-34100 Trieste, Italy

来源：

IMAGE AND VISION COMPUTING | 2001年 / 19卷 / 07期

关键词：

irregular sampling; nonlinear operator; skewness;

D O I：

10.1016/S0262-8856(00)00090-1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A novel irregular and nonuniform sampling scheme for image data is presented in this paper. Its main characteristics are the particular distribution of the samples along image edges and in textured areas, which is obtained following a multiresolution approach, and the low computational complexity. As an example of application, an image coding system is proposed which, thanks to both the peculiar sample distribution and a suitably designed interpolation scheme, yields good subjective quality images at low bit rates, avoiding the annoying artefacts which are typical of block-based coding techniques as JPEG. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：451 / 460

页数：10

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