Title :
Asymmetric stereoscopic image resolution enhancement
Author :
Tian, Jing ; Li Chen ; Liu, Zhenyu
Author_Institution :
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China
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 super-resolution 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 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 neighboring view. Experiments are conducted to justify that the proposed approach outperforms conventional approaches.
Keywords :
image enhancement; image reconstruction; image resolution; stereo image processing; 3D perception; asymmetric stereoscopic image resolution enhancement; data storage requirement reduction; dual regularization scheme; full-resolution images; lower-resolution images; occlusion-sensitive regularization function; original full-resolution image reconstruction; saliency-based regularization function; stereoscopic images; stereoscopic videos; super-resolution approach; Image edge detection; Image reconstruction; Image resolution; Interpolation; Stereo image processing; Vectors;
Conference_Titel :
Pattern Recognition (ACPR), 2011 First Asian Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-0122-1
DOI :
10.1109/ACPR.2011.6166679