Fast digital image stabilizer based on Gray-coded bit-plane matching

Sung Jea Ko; Sung Hee Lee; Seung Won Jeon; Eui Sung Kang

doi:10.1109/30.793546

Fast digital image stabilizer based on Gray-coded bit-plane matching

Sung Jea Ko, Sung Hee Lee, Seung Won Jeon, Eui Sung Kang

Research output: Contribution to journal › Article › peer-review

198 Citations (Scopus)

Abstract

In this paper, a fast digital image stabilizer based on the Gray-coded bit-plane matching is proposed which is robust to irregular conditions such as moving objects and intentional panning. The proposed digital image stabilization (DIS) system performs motion estimation using the Gray-coded bit-plane of video sequences, greatly reducing the computational load. This motion estimation method can be realized using only binary Boolean functions which have significantly reduced computational complexity, while the accuracy of motion estimation is maintained. In order to further improve the computational efficiency, the Gray-coded bit-plane matching with the three-step search (3SS) is proposed. Experimental results indicate that the proposed digital image stabilizer is a computationally efficient alternative to existing DIS systems.

Original language	English
Pages (from-to)	598-603
Number of pages	6
Journal	IEEE Transactions on Consumer Electronics
Volume	45
Issue number	3
DOIs	https://doi.org/10.1109/30.793546
Publication status	Published - 1999 Aug

Bibliographical note

Funding Information:
'This work was supported in pert by Korea Research Foundation and by SAMSUNG Electronics Co.

ASJC Scopus subject areas

Media Technology
Electrical and Electronic Engineering

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10.1109/30.793546

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title = "Fast digital image stabilizer based on Gray-coded bit-plane matching",

abstract = "In this paper, a fast digital image stabilizer based on the Gray-coded bit-plane matching is proposed which is robust to irregular conditions such as moving objects and intentional panning. The proposed digital image stabilization (DIS) system performs motion estimation using the Gray-coded bit-plane of video sequences, greatly reducing the computational load. This motion estimation method can be realized using only binary Boolean functions which have significantly reduced computational complexity, while the accuracy of motion estimation is maintained. In order to further improve the computational efficiency, the Gray-coded bit-plane matching with the three-step search (3SS) is proposed. Experimental results indicate that the proposed digital image stabilizer is a computationally efficient alternative to existing DIS systems.",

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Fast digital image stabilizer based on Gray-coded bit-plane matching

Abstract

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