Automatic image interpolation using homography

Authors:
Yi-Leh Wu;Cheng-Yuan Tang;Maw-Kae Hor;Chi-Tsung Liu
Affiliations:
Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan;Department of Information Management, Huafan University, Taipei, Taiwan;Department of Computer Science, National Cheng Chi University, Taipei, Taiwan;Department of Information Management, Huafan University, Taipei, Taiwan
Venue:
EURASIP Journal on Advances in Signal Processing
Year:
2010

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Abstract

While taking photographs, we often face the problem that unwanted foreground objects (e.g., vehicles, signs, and pedestrians) occlude the main subject(s). We propose to apply image interpolation (also known as inpainting) techniques to remove unwanted objects in the photographs and to automatically patch the vacancy after the unwanted objects are removed. When given only a single image, if the information loss after the unwanted objects in images being removed is too great, the patching results are usually unsatisfactory. The proposed inpainting techniques employ the homographic constraints in geometry to incorporate multiple images taken from different viewpoints. Our experiment results showed that the proposed techniques could effectively reduce process in searching for potential patches from multiple input images and decide the best patches for the missing regions.