High-quality algorithm for Bayer pattern interpolation

被引：13

作者：

Lukin, A ^{[1
]}

Kubasov, D ^{[1
]}

机构：

[1] Moscow MV Lomonosov State Univ, Dept Computat Math & Cybernet, Moscow 119992, Russia

来源：

PROGRAMMING AND COMPUTER SOFTWARE | 2004年 / 30卷 / 06期

关键词：

Operating System; Artificial Intelligence; Image Quality; Input Data; Adaptive Control;

D O I：

10.1023/B:PACS.0000049512.71861.eb

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In this paper, a brief survey of the algorithms for interpolating images represented in the form of the Bayer patterns is given, and a new interpolation algorithm considerably improving the image quality is suggested. The suggested algorithm is based on the Kimmel algorithm improved by introducing several modifications, such as a more accurate interpolation of the green color, adaptive control of the number of the iterations, and projection onto the input data.

引用

页码：347 / 358

页数：12

共 11 条

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