• Aucun résultat trouvé

Sparsity-based optimization of two lifting-based wavelet transforms for semi-regular mesh compression

N/A
N/A
Info
Télécharger
Protected

Academic year: 2021

Partager "Sparsity-based optimization of two lifting-based wavelet transforms for semi-regular mesh compression"

Copied!
15
0
0

Chargement.... (Voir le texte intégral maintenant)

Texte intégral

Figure

Figure 1: Overview of a wavelet decomposition.
Figure 3: Wavelet analysis of a semi-regular mesh. M j is transformed into a mesh M j−1 of lower resolution and a set C j of coefficients (rel-ative to the red dots).
Figure 6: Prediction stencils of the Butterfly-based lifting scheme.
Figure 8: Method for computing γ. The orange dot (a) represents the only non null coefficient; the green dots (b) represent the two sole vertices of V j−1 with non null values after synthesis; the red dots rep-resent the 43 vertices of V j with non null v
+7

Références

Télécharger maintenant ( PDF - 15 Page - 2.32 MB )

Documents relatifs

A floating-point system for serial binary computation

L’accès à ce site Web et l’utilisation de son contenu sont assujettis aux conditions présentées dans le site LISEZ CES CONDITIONS ATTENTIVEMENT AVANT D’UTILISER CE SITE WEB.

Recommendations for the establishment and operation of human milk banks in europe: A consensus statement from the european milk bank association (EMBA)

Specialty section: This article was submitted to Neonatology, a section of the journal Frontiers in Pediatrics Received: 31 August 2018 Accepted: 08 February 2019 Published: 04

Graph based transforms for compression of new imaging modalities

Looking at a refocused image after compression, the blur due to compression is unnoticed in out-of focus regions where the quantization blur is mixed to natural geometry blur. As

Chinese hamster ovary cells can produce galactose-α-1,3-galactose antigens on proteins

Although the levels of α-Gal in the CHO proteins analyzed in this study are lower in comparison to those typically observed in products derived from murine cell lines, it is

A Region-Based Progressive Coding of Semi-Regular 3-D Meshes for View-Dependent Transmission.

In the wavelet-based SR mesh compression setting, a subdivision scheme is used as a prediction operator during the MRA, to reduce the details lost during this coarsification

Wavelet Based Semi-blind Channel Estimation For Multiband OFDM

The first approach, consists of estimating the channel over all of the three subbands, using the model (3), similar to [5] while the second scheme is a wavelet domain EM

A Lifting-Based Discrete Wavelet Transform and Discrete Wavelet Packet Processor with Support for Higher Order Wavelet Filters

In this chapter, we propose a generalized lifting-based wavelet processor that can perform various forward and inverse Discrete Wavelet Transforms (DWTs) and Discrete Wavelet