Semantics-Preserving Warping for Stereoscopic Image Retargeting

• Published in: Image and Video Technology pp. 257 - 268
• Main Authors: Tan, Chun-Hau, Islam, Md Baharul, Wong, Lai-Kuan, Low, Kok-Lim
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Scene consistency; Stereo image retargeting; Stereo image warping; Tearable image warping
• ISBN: 9783319294506; 3319294504
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-29451-3_21

Due to availability and popularity of stereoscopic displays in the recent years, research into stereo image retargeting is receiving considerable attention. In this paper, we extend the tearable image warping method for stereo image retargeting. Our method retargets both the left and right image of the stereo image pair simultaneously to preserve scene consistency, and minimize distortion using a global optimization algorithm. It is also able to preserve stereoscopic properties of the resulting stereo image. Experimental results show that our approach can preserve the global image context better than stereoscopic cropping, preserve structural details better than stereoscopic seam carving, and protect objects better than stereoscopic traditional warping. Besides, compared to scene warping, our approach can guarantee semantic connectedness.