✦ LIBER ✦

On the Nonseparability of Image Models

✍ Scribed by Links, Leo H.; Biemond, Jan

Book ID: 117930512
Publisher: IEEE
Year: 1979
Tongue: English
Weight: 458 KB
Volume: PAMI-1
Category: Article
ISSN: 0162-8828
DOI: 10.1109/tpami.1979.4766950

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Image fusion method based on nonseparabl

Image fusion method based on nonseparable wavelets

✍ Liu Bin; Peng Jiaxiong 📂 Article 📅 2005 🏛 Springer-Verlag 🌐 English ⚖ 254 KB

Identification of unconditional partial

Identification of unconditional partial effects in nonseparable models

✍ Christoph Rothe 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 167 KB

Lossless scalable coding of still images

Lossless scalable coding of still images based on multichannel nonseparable two-dimensional filter bank

✍ Masahiro Iwahashi; Shinji Fukuma; Noriyoshi Kambayashi 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 442 KB

When high-definition images such as medical images and art are compressed, it is desirable that the quality of the original image be maintained at the time of reconstruction. Also, if there is a scalable functionality such that the summary of the image information can be understood even if a part of

The number of nonseparable maps on the p

The number of nonseparable maps on the projective plane

✍ Zhao-xiang Li; Li-ying Mou; Fen Lei; Jie Xu 📂 Article 📅 2010 🏛 Institute of Applied Mathematics, Chinese Academy 🌐 English ⚖ 166 KB

Identification of Marginal Effects in No

Identification of Marginal Effects in Nonseparable Models Without Monotonicity

✍ Stefan Hoderlein; Enno Mammen 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 75 KB

A general class of nonseparable space–ti

A general class of nonseparable space–time covariance models

✍ Thaís C. O. Fonseca; Mark F. J. Steel 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 633 KB

The aim of this work is to construct nonseparable, stationary covariance functions for processes that vary continuously in space and time. Stochastic modelling of phenomena over space and time is important in many areas of application. But choice of an appropriate model can be difficult as we need t