DocumentCode :
1887021
Title :
Improved multiple regions of interest coding for JPEG2000
Author :
Kittiwattanakul, P. ; Aramvith, S.
Author_Institution :
Chulalongkorn Univ., Thailand
fYear :
2005
fDate :
18-20 May 2005
Firstpage :
22
Abstract :
Summary form only given. Normally, image data have important details in only some regions. One feature of JPEG2000 still image coding is the ability to code a region of interest (ROI) with higher quality. The standard defines two methods for ROI coding, generic shift and maximum bitplane shift (maxshift). Generic shift can select the scaling value of the ROI, but the shape needs to be sent to the decoder, whereas maxshift does not need to send it. However, maxshift does not allow the selection of a scaling value to define the relative importance between ROI and background (BG) coefficients. Later, BbB shift and GBbB shift were proposed. These two methods can select the scaling value without the need to send shape information, but these two methods are not applicable for multiple ROI coding. Lately, the partial significant bitplane (PSB) shift was proposed. It offers different degrees of interest and also supports multiple ROI coding. However, PSB shift sacrifices some qualities of ROI in exchange for the improved quality of the BG region. To some extent, it causes the ROI to be coded at lesser quality than the BG. We analyze the advantages and disadvantages of each method and propose the use of PSB shift in conjunction with the maxshift scheme to achieve better quality in the ROI with the ability to adjust the degree of interest relative to its importance.
Keywords :
image coding; JPEG2000 image coding; degree of interest; generic shift; maximum bitplane shift; maxshift; multiple ROI coding; multiple regions of interest coding; partial significant bitplane shift; scaling value; Color; Decoding; Fractals; Image analysis; Image coding; Interpolation; MPEG 4 Standard; Medical services; Shape; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nonlinear Signal and Image Processing, 2005. NSIP 2005. Abstracts. IEEE-Eurasip
Conference_Location :
Sapporo
Print_ISBN :
0-7803-9064-4
Type :
conf
DOI :
10.1109/NSIP.2005.1502248
Filename :
1502248
Link To Document :
بازگشت