DCC '97 Proceedings of the Conference on Data Compression
Tree-based wavelets for image coding: orthogonalization and tree selection
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Depth MAP distortion analysis for view rendering and depth coding
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Sparse geometric image representations with bandelets
IEEE Transactions on Image Processing
Directionlets: anisotropic multidirectional representation with separable filtering
IEEE Transactions on Image Processing
Multiview Video Coding Using View Interpolation and Color Correction
IEEE Transactions on Circuits and Systems for Video Technology
Coding Algorithms for 3DTV—A Survey
IEEE Transactions on Circuits and Systems for Video Technology
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In order to efficiently encode depth map images in a multiview video coding scenario, two basic properties of these images can be leveraged: first, errors in pixels located near the edges of objects have a greater perceptual impact on the synthesized view; second, depth maps can be approximated as piecewise planar signals. We make use of these facts to define a discrete wavelet transform using lifting that avoids filtering across edges. The filters are designed to fit the planar shape of the signal. This leads to an efficient representation of the image while preserving the edge information. By preserving the edge information, we are able to improve the quality of the synthesized views, as compared to existing methods.