IMPROVED HYBRID DEMOSAICING AND COLOR SUPER-RESOLUTION IMPLEMENTATION USING QUASI-NEWTON ALGORITHMS

被引：0

作者：

Sorrentino, Diego A. ^{[1
]}

Antoniou, Andreas ^{[1
]}

机构：

[1] Univ Victoria, Dept Elect & Comp Engn, Victoria, BC V8W 3P8, Canada

来源：

2009 IEEE 22ND CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1 AND 2 | 2009年

关键词：

Image processing; super-resolution; demosaicing; quasi-Newton algorithms; RECONSTRUCTION;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Super-resolution algorithms can be used to reconstruct a high-resolution high-quality image from a set of low-quality images. A novel hybrid demosaicing and color super-resolution approach proposed recently by Farsiu, Elad, and Milanfar relies on the minimization of a nonconvex multiterm objective function using a rudimentary fixed step-size steepest-descent approach. In this paper, we show that improved performance can be achieved by implementing this approach in terms of powerful quasi-Newton algorithms.

引用

页码：738 / 741

页数：4

共 7 条

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