✦ LIBER ✦

Noise Filtering for Subband Image Coding Using Vector Quantization

✍ Scribed by C.J. Kuo; J.H. Leu

Publisher: Elsevier Science
Year: 1995
Tongue: English
Weight: 463 KB
Volume: 1
Category: Article
ISSN: 1077-2014
DOI: 10.1006/rtim.1995.1012

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A new vector quantization for wavelet im

A new vector quantization for wavelet image coding

✍ Shuitsu Matsumura; Tsuyosi Takebe 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 1010 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

Rate control for video coding using exch

Rate control for video coding using exchange of quantization noise and signal resolution

✍ Hiroshi Ito; Yoshiko Hatano 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 981 KB

A new algorithm of rate control for video coding is proposed, which can be applied to any video coding schemes that contain transform coding such as DCT. The main feature of the algorithm is to jointly control the quantization parameter, Q, and the scanning length of coefficients, L, with L correspo