Acuity-matching resolution degradation through wavelet coefficient scaling

被引：18

作者：

Duchowski, AT ^{[1
]}

机构：

[1] Clemson Univ, Dept Comp Sci, Clemson, SC 29634 USA

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 2000年 / 9卷 / 08期

关键词：

image processing; multiresolution; region of interest; texture mapping; wavelets;

D O I：

10.1109/83.855439

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A wavelet-based multiresolution image representation method is developed matching human visual system (HVS) spatial acuity within multiple regions of interest (ROIs). ROIs are maintained at high (original) resolution while peripheral areas are gracefully degraded. Variable resolution images are generated by selectively scaling wavelet (detail) coefficients prior to reconstruction. The technique is equivalent to linear interpolation MIP-mapping which involves smooth subsampling (decomposition) prior to texture mapping (reconstruction). Multiple ROI degradation is achieved through wavelet coefficient scaling following Voronoi partitioning of the image plane.

引用

页码：1437 / 1440

页数：4

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