Naslov
Memory Reduction and Image Quality Enhancement Method for Classified Vector Quantization

Autori
Dujmić, Hrvoje ; Rožić, Nikola ; Russo, Mladen

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of International Symposium on Signal Processing and its Applications (ISSPA 2003) / - , 2003

Skup
International Symposium on Signal Processing and its Applications (ISSPA 2003)

Mjesto i datum
Pariz, Francuska, 01.07.2003. - 04.07.2003

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
image compression; Classified Vector Quantization; Memory Reduction

Sažetak
This paper considers new memory reduction and image quality enhancement method for classified vector quantization (CVQ) using symmetry reflection, rotation and inversion of edge subimages. These are used to join appropriate edge classes thus reducing memory requirements for edge codebooks by 4(8) times. Besides the memory reduction and increases of PSNR for images outside the training set our method also relieves codebook generation for high bit rate by reducing the number of images that should be inside the training set. The proposed method has been tested with two different classification methods in order to ensure generality of the method.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA