|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
 Digg  Furl  Spurl  Blink  Simpy  Google  Del.icio.us  Y!MyWeb | ||
| Search | ||
| ||
Data Compression Conference (DCC '97)
Image Coding Using Optimized Significance Tree Quantization
March 25-March 27
ISBN: 0-8186-7761-9
| ASCII Text | x | ||
| Geoffrey M. Davis, Sumit Chawla, "Image Coding Using Optimized Significance Tree Quantization," Data Compression Conference, pp. 387, Data Compression Conference (DCC '97), 1997. | |||
| BibTex | x | ||
| @article{ 10.1109/DCC.1997.582064, author = {Geoffrey M. Davis and Sumit Chawla}, title = {Image Coding Using Optimized Significance Tree Quantization}, journal ={Data Compression Conference}, volume = {0}, year = {1997}, issn = {1068-0314}, pages = {387}, doi = {http://doi.ieeecomputersociety.org/10.1109/DCC.1997.582064}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Data Compression Conference TI - Image Coding Using Optimized Significance Tree Quantization SN - 1068-0314 SP EP A1 - Geoffrey M. Davis, A1 - Sumit Chawla, PY - 1997 KW - image coding KW - image coding KW - optimized significance tree quantization KW - embedded transform coders KW - EZW scheme KW - SPIHT scheme KW - EZDCT scheme KW - significance tree quantization KW - algorithm KW - transform coefficient KW - optimization procedure KW - DCT blocks KW - low complexity coder KW - performance KW - JPEG KW - standard test images KW - embedded scalar quantization KW - constrained vector quantization VL - 0 JA - Data Compression Conference ER - | |||
A number of recent embedded transform coders, including Shapiro's (1993) EZW scheme, Said and Pearlman's (see IEEE Trans. Circuits and Systems for Video Technology, vol.6, no.3, p.243-250, 1996) SPIHT scheme, and Xiong et al. (see IEEE Signal Processing Letters, no.11, 1996) EZDCT scheme employ a common algorithm called significance tree quantization (STQ). Each of these coders have been selected from a large family of significance tree quantizers based on empirical work and a priori knowledge of the transform coefficient behavior. We describe an algorithm for selecting a particular form of STQ that is optimized for a given class of images. We apply our optimization procedure to the task of quantizing 8/spl times/8 DCT blocks. Our algorithm yields a fully embedded, low-complexity coder with performance from 0.7 to 2.5 dB better than baseline JPEG for standard test images.
Index Terms:
image coding, image coding, optimized significance tree quantization, embedded transform coders, EZW scheme, SPIHT scheme, EZDCT scheme, significance tree quantization, algorithm, transform coefficient, optimization procedure, DCT blocks, low complexity coder, performance, JPEG, standard test images, embedded scalar quantization, constrained vector quantization
Citation:
Geoffrey M. Davis, Sumit Chawla, "Image Coding Using Optimized Significance Tree Quantization," dcc, pp.387, Data Compression Conference (DCC '97), 1997
Usage of this product signifies your acceptance of the Terms of Use.