DEMOSAICKING IMAGES WITH MOTION BLUR

被引：1

作者：

Har-Noy, Shay ^{[1
]}

Chan, Stanley H. ^{[1
]}

Nguyen, Truong Q. ^{[1
]}

机构：

[1] UC San Diego, ECE Dept, San Diego, CA 92093 USA

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2010年

关键词：

Cameras; image restoration; image sensors;

D O I：

10.1109/ICASSP.2010.5495315

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In standard digital color imaging, each pixel position acquires data for only one color plane and the remaining two color planes must be inferred through a process known as demosaicking. Furthermore, the image is susceptible to blurring artifacts due to a moving camera or fast moving subject. In this work we develop a robust framework to demosaick the color filter array (CFA) image while reducing the blur corrupting the image. We begin by defining a color motion blur model that describes the motion blur artifacts affecting color images. We then integrate the motion blur model in the demosaicking algorithm to obtain a computationally efficient framework for deblurring while demosaicking.

引用

页码：1006 / 1009

页数：4