Using disparity map compensation for stereo image coding

In order to compress stereo image pairs effectively, disparity compensation is most widely used. In this paper we examined the performances of using different disparity maps and their properties. These properties include the block size, estimation method and the resulting entropy of the disparity map. Experimental results show that basic block matching gives better results than ground truth, especially on occluded regions and boundaries.

[1]  Scott S. Fisher,et al.  Stereoscopic displays and virtual reality systems II : 7-9 February 1995, San Jose, California , 1995 .

[2]  Yee-Hong Yang,et al.  Multi-resolution stereo matching using genetic algorithm , 2001, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001).

[3]  Ingemar J. Cox,et al.  A maximum-flow formulation of the N-camera stereo correspondence problem , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[4]  D. Scharstein,et al.  A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms , 2001, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001).

[5]  Hayder Radha,et al.  Disparity dependent segmentation based stereo image coding , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[6]  Olga Veksler,et al.  Fast approximate energy minimization via graph cuts , 2001, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[7]  Janusz Konrad,et al.  Dense-disparity estimation from feature correspondences , 2000, Electronic Imaging.

[8]  Charles Hansen,et al.  Rectification of images for binocular and trinocular stereovision , 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

[9]  Kenneth Zeger,et al.  Residual image coding for stereo image compression , 2002, Proceedings. International Conference on Image Processing.

[10]  Sriram Sethuraman.  Multiresolution based hierarchical disparity estimation for stereo image pair compression , 1994 .

[11]  Eric Bodden,et al.  Arithmetic Coding revealed A guided tour from theory to praxis. , 2004 .

[12]  Michael G. Strintzis,et al.  Embedded coding of stereo images , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).