AN EFFECTIVE ALGORITHM BASED ON CLUSTER ANALYSIS FOR CIA IMAGE PROCESSING

被引：0

作者：

Fan, Lingyan ^{[1
]}

Chen, Zhe ^{[1
]}

机构：

[1] Hangzhou Dianzi Univ, Dept Elect Engn, Hangzhou 310018, Zhejiang, Peoples R China

来源：

2008 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND SIGNAL PROCESSING, VOLS 1 AND 2 | 2007年

关键词：

RGB image; demosizing; CFA;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an effective adaptive algorithm based on cluster analysis for enlarging and demosaicking RGB images using Bayer CFA pattern images. The proposed method is efficient in fixed-point hardware implementation, and outperforms the existing weighing approach in terms of the perceptual quality. Experimental results show that this adaptive algorithm is effective both in implementation and output quality.

引用

页码：592 / 597

页数：6

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