TY - GEN
T1 - Embedded quantizer design for low rate lossy image coding
AU - Aulí-Llinàs, Francesc
AU - Marcellin, Michael W.
AU - Jiménez-Rodríguez, Leandro
AU - Blanes, Ian
AU - Serra-Sagrista, Joan
PY - 2012
Y1 - 2012
N2 - Embedded quantization is a mechanism employed by lossy image coding systems to successively refine the distortion of an image. Commonly, it is conducted through a uniform scalar dead zone quantizer (USDQ) together with a bitplane coding strategy (BPC). Although this scheme is convenient for current hardware architectures and achieves competitive coding performance, it establishes the embedded quantizer without allowing major variations. This paper studies the design of non-restricted embedded quantizers with the aim to determine a quantization scheme that provides (near-)optimal performance for the lossy compression of images at low rates. Results suggest that optimally designed quantization schemes can achieve slightly better performance than that of USDQ+BPC by employing a non-uniform quantizer that requires fewer quantization stages.
AB - Embedded quantization is a mechanism employed by lossy image coding systems to successively refine the distortion of an image. Commonly, it is conducted through a uniform scalar dead zone quantizer (USDQ) together with a bitplane coding strategy (BPC). Although this scheme is convenient for current hardware architectures and achieves competitive coding performance, it establishes the embedded quantizer without allowing major variations. This paper studies the design of non-restricted embedded quantizers with the aim to determine a quantization scheme that provides (near-)optimal performance for the lossy compression of images at low rates. Results suggest that optimally designed quantization schemes can achieve slightly better performance than that of USDQ+BPC by employing a non-uniform quantizer that requires fewer quantization stages.
KW - Embedded quantization
KW - JPEG2000
KW - lossy image coding
UR - http://www.scopus.com/inward/record.url?scp=84862105859&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862105859&partnerID=8YFLogxK
U2 - 10.1109/DCC.2012.17
DO - 10.1109/DCC.2012.17
M3 - Conference contribution
AN - SCOPUS:84862105859
SN - 9780769546568
T3 - Data Compression Conference Proceedings
SP - 89
EP - 98
BT - Proceedings - DCC 2012
T2 - 2012 Data Compression Conference, DCC 2012
Y2 - 10 April 2012 through 12 April 2012
ER -