Depth and depth-color coding using shape-adaptive wavelets

TL;DR: In this article, the authors overview graph spectral techniques in graph signal processing (GSP) specifically for image/video processing, including image compression, image restoration, image filtering, and image segmentation.

TL;DR: A novel asymmetric coding method of multi-view video plus depth (MVD) based 3-D video is proposed on purpose of providing high-quality view rendering and experimental results show that compared with other methods, the proposed method can obtain higher performance of view rendering under the total bitrate constraint.

TL;DR: A lossy Kinect-like depth compression framework based on the existing codecs, aiming to enhance the coding efficiency while preserving the depth features for further applications is proposed, which can save 55%-85% in terms of bit cost and reduce coding complexity by 20%-65% in comparison with the traditional video compression algorithms.

TL;DR: The proposed algorithm relaxes the usual assumption of the stationary noise model in sparse coding, which enables learning from data corrupted with spatially varying noise or uncertainty, such as that obtained by laser range scanners or structured light depth cameras.

TL;DR: An introduction to a Transient World and an Approximation Tour of Wavelet Packet and Local Cosine Bases.

TL;DR: This paper has designed a stand-alone, flexible C++ implementation that enables the evaluation of individual components and that can easily be extended to include new algorithms.

TL;DR: A "true" two-dimensional transform that can capture the intrinsic geometrical structure that is key in visual information is pursued and it is shown that with parabolic scaling and sufficient directional vanishing moments, contourlets achieve the optimal approximation rate for piecewise smooth functions with discontinuities along twice continuously differentiable curves.

TL;DR: This work has specific applications for those involved in the development of software and hardware solutions for multimedia, internet, and medical imaging applications.