학술논문
Low complexity finite-state scalar quantization of image subbands
Document Type
Conference
Author
Source
Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers Signals, systems and computers Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on. 1:626-630 vol.1 1995
Subject
Language
ISSN
1058-6393
Abstract
This paper presents an image coding technique based on the combination of subband decomposition, entropy coding and three different forms of quantization: scalar quantization, finite-state scalar quantization (FSSQ) and predictive FSSQ (PFSSQ). In addition to being fast and requiring no training for quantizer design, the technique has been shown to be competitive with other existing methods. In one of our experiments for example, we encoded the luminance component of the standard image Lena at 0.123 bits per pixel with a PSNR of 30.62 dB.