Automatic restoration of corrupted regions in images using object width transform

Authors:
Toan Nguyen Dinh;JeongHwan Kim;GueeSang Lee
Affiliations:
Chonnam National University, Yongbong-dong, Bukgu, Gwangju, Korea;Chonnam National University, Yongbong-dong, Bukgu, Gwangju, Korea;Chonnam National University, Yongbong-dong, Bukgu, Gwangju, Korea
Venue:
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Year:
2012

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Abstract

Natural scene images are usually corrupted by dust, streaks, shadows, or small unwanted objects such as tree branches. In this paper, a new method based on object width transform is proposed to automatically detect and restore corrupted regions in images. First, the input image is converted into a width map that contains the width information of objects in the image. Based on this width map, corrupted regions are detected. Finally, the corrupted regions are restored using adaptive median filter or image completion algorithm. The experimental results attained in many real images show the effectiveness of the proposed method.