✦ LIBER ✦

Transform image coding by feedforward neural networks

✍ Scribed by O. Martinelli; L. Prina Ricotti; S. Ragazzini; C. Spallaccini

Publisher: John Wiley and Sons
Year: 1993
Tongue: English
Weight: 263 KB
Volume: 21
Category: Article
ISSN: 0098-9886
DOI: 10.1002/cta.4490210509

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A neural network approach to transform i

A neural network approach to transform image coding

✍ L. O. Chua; T. Lin 📂 Article 📅 1988 🏛 John Wiley and Sons 🌐 English ⚖ 447 KB

A New Side-Match Finite-State Vector Qua

A New Side-Match Finite-State Vector Quantization Using Neural Networks for Image Coding

✍ Yu-Len Huang; Ruey-Feng Chang 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 310 KB

The side-match finite-state vector quantization (SMVQ) schemes improve performance over the vector quantization by exploiting the neighboring vector correlations within the image. In this paper, we propose a neural network side-match finite-state vector quantization (NN-SMVQ) scheme that combines th

The Arithmetic Fourier Transform and Rea

The Arithmetic Fourier Transform and Real Neural Networks: Summability by Primes

✍ W.J. Walker 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 244 KB

Image compression by orthogonal decompos

Image compression by orthogonal decomposition using cellular neural network chips

✍ Szirányi, Tamáa; Czúni, László 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 961 KB

In the paper a new hardware architecture for the implementation of a high-speed, low bit-rate image coding system is outlined. Our proposed algorithm is based on the Cellular Neural/Nonlinear Network (CNN) chip-set. A simple and fast method is introduced to generate basis functions of two-dimensiona

Super-resolution of the undersampled and

Super-resolution of the undersampled and subpixel shifted image sequence by a neural network

✍ Yao Lu; Minoru Inamura; Maria del Carmen Valdes 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 245 KB

## Abstract Numerous approaches to super‐resolution (SR) of sequentially observed images (image sequence) of low resolution (LR) have been presented in the past two decades. However, neural network methods are almost ignored for solving SR problems. This is because the SR problem traditionally has

Identification of Seeds by Colour Imagin

Identification of Seeds by Colour Imaging: Comparison of Discriminant Analysis and Artificial Neural Network

✍ Chtioui, Younes; Bertrand, Dominique; Dattée, Yvette; Devaux, Marie-Francoise 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 747 KB

This study describes the use of colour image analysis to identify four seed varieties. A wide range of kernel measurements was obtained from digitised colour images of whole seed samples of rumex, wild oat, lucerne and vetch. The combination size, shape (including kernel seven invariant moments) and