DocumentCode
314538
Title
High-quality image compression using a wavelet transform and left-neighbour-parent dependencies
Author
Lesani, Fariborz ; Freeman, George H.
Author_Institution
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Volume
1
fYear
1997
fDate
25-28 May 1997
Firstpage
133
Abstract
Image coding is performed using a wavelet transform followed by coefficient quantization and entropy coding. Coefficients which are below a band-dependent threshold are set to zero, and those remaining are uniformly quantized with a band-dependent number of steps. Each quantized coefficient (including zeros) is placed in a context class depending on its left neighbour in the same band and its parent in the corresponding band at the next coarser level of resolution. The coefficients in each context, and the low-low-band image from the coarsest level of resolution, are separately entropy coded by an adaptive arithmetic code. Results for specific images show the effects of the quantizer design and demonstrate a reasonable extension of existing wavelet-transform-coder performance to a region of higher quality (about 35-50 dB of peak SNR)
Keywords
adaptive codes; arithmetic codes; data compression; entropy codes; image coding; image resolution; quantisation (signal); transform coding; wavelet transforms; adaptive arithmetic code; band-dependent threshold; coarsest level of resolution; coefficient quantization; entropy coding; high-quality image compression; image coding; left-neighbour-parent dependencies; wavelet transform; Arithmetic; Energy resolution; Entropy; Image coding; Image resolution; Quantization; Spatial resolution; Wavelet analysis; Wavelet domain; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on
Conference_Location
St. Johns, Nfld.
ISSN
0840-7789
Print_ISBN
0-7803-3716-6
Type
conf
DOI
10.1109/CCECE.1997.614808
Filename
614808
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