An Improved Method for the Identification of the Space-Vriant Motion Blur using RATS (RATS를 이용한 개선된 지역적 모션 블러 크기 추출 기법)

양홍택; 황주연; Paik Doowon (백두원)

An Improved Method for the Identification of the Space-Vriant Motion Blur using RATS

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2008, 13(1), pp.125-134
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

양홍택 ¹, 황주연 ¹, Paik Doowon ¹

¹숭실대학교

Accredited

ABSTRACT

Motion blur is a blurring effect on an image caused by the relative motion between the camera and objects in the scene. When an image is captured, motion blurs are caused by relative motion between the camera and the scene. When different objects are moving at different speeds, the characteristics of the blur effect for each object appear differently. To restore the spatially variant blurred image, each of the blur extents should be identified. In this paper, we propose a new method for the identification of blur extent locally using RATS from the image in which the spatially variant motion blur is caused Experiment shows that the proposed algorithm successfully segments the objects with different blurs and identifies the blur extents quite well.

KEYWORDS

블러(Blur), 자기상관(Autocorrelation), 자기상관함수(ACF), RATS

Citation status

* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65