Dual regularization-based image resolution enhancement for asymmetric stereoscopic images

  • Authors:

  • Jing Tian;Li Chen;Zhenyu Liu

  • Affiliations:

  • School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430081, China;School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430081, China;School of Mathematics and Statistics, Zaozhuang University, Zaozhuang 277160, China

  • Venue:
  • Signal Processing
  • Year:
  • 2012

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Abstract

Asymmetric stereoscopic imaging technique utilizes a pair of lower-resolution and full-resolution images to reduce the data storage requirement of stereoscopic images and videos, while maintaining fairly good quality in 3D perception. This paper proposes a resolution enhancement approach to reconstruct the original full-resolution image for this asymmetric stereoscopic system setup. The proposed approach exploits a dual regularization scheme: (i) a saliency-based regularization function is proposed to adaptively adjust the degree of regularization based on the local content of the image; and (ii) an occlusion-sensitive regularization function is proposed to exploit the correlation between the observed lower-resolution image and the observed full-resolution image in the neighboring view. Experiments are conducted to justify that the proposed approach outperforms a few conventional approaches.