NDLI: Bit allocation algorithm for wavelet image compression

Content Provider	IEEE Xplore Digital Library
Author	Terki, N. Doghmane, N. Terki, A.
Copyright Year	2002
Description	Author affiliation: Dept. of Electron., Annaba Univ., Algeria (Terki, N.; Doghmane, N.; Terki, A.)
Abstract	We introduce a compression algorithm using the wavelet transform. The principle of wavelet transform is to decompose hierarchically the input image into a series of successively lower resolution reference images and detail images that contain the information needed to be reconstructed back to the next higher resolution level. The histogram of image sub-bands provides information on the distribution of the coefficient values in this sub image. The sub band images resulting from wavelet transform are not equal significance. Some sub-bands contain more information than others. The total number of available bits describe an image is however, inevitably limited. Therefore, it is desirable to allocate more bits to those sub-band images and can be coded more accurately than others. The objective of such bit allocation method is to optimize the overall coder performance and minimize the quantization error. In determining which wavelet filter is to be used for image compression, some of the properties including vanishing moments are considered. The wavelet transform is implemented using a linear-phase biorthogonal filter (16,4) with 4 level of decomposition. For this study, we used a scalar quantization with uniform threshold quantizers. The quantization method is pulse code modulation (PCM) for the coefficients in all high-pass sub-bands. The coefficients of low-pass sub-band are differential PCM quantized per region.
Starting Page	339
Ending Page	344
File Size	592312
Page Count	6
File Format	PDF
ISBN	078037620X
ISSN	21589860
DOI	10.1109/ISIC.2002.1157786
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-10-30
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bit rate Image coding Wavelet transforms Quantization Image resolution Filters Pulse modulation Phase change materials Compression algorithms Image reconstruction
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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