Title :
Low Complexity Embedded Quantization Scheme Compatible with Bitplane Image Coding
Author :
Auli-Llinas, Francesc
Author_Institution :
Dept. of Inf. & Commun. Eng., Univ. Autonoma de Barcelona, Barcelona, Spain
Abstract :
Embedded quantization is a mechanism through which image coding systems provide quality progressivity. Although the most common embedded quantization approach is to use uniform scalar dead zone quantization (USDQ) together with bit plane coding (BPC), recent work suggested that similar coding performance as that achieved with USDQ+BPC can be obtained with a general embedded quantization (GEQ) scheme than performs fewer quantization stages. Unfortunately, practical approaches of GEQ can not be implemented in bit plane coding engines without substantially modifying their structure. This work overcomes this drawback introducing a 2-step scalar dead zone quantization (2SDQ) scheme compatible with bit plane image coding that provides the same advantages of practical GEQ approaches. Herein, 2SDQ is introduced in the framework of JPEG2000 to demonstrate its viability and efficiency.
Keywords :
image coding; 2-step scalar deadzone quantization; 2SDQ scheme; BPC; GEQ scheme; JPEG2000; USDQ; bitplane coding; bitplane image coding; general embedded quantization; low complexity embedded quantization scheme; uniform scalar deadzone quantization; Codecs; Encoding; Engines; Image reconstruction; Quantization (signal); Transform coding; Wavelet transforms; 2-step scalar deadzone quantization; Embedded quantization; JPEG2000; general embedded quantization;
Conference_Titel :
Data Compression Conference (DCC), 2013
Conference_Location :
Snowbird, UT
Print_ISBN :
978-1-4673-6037-1
DOI :
10.1109/DCC.2013.35