NDLI: Low Complexity Integer Transform and Adaptive Quantization Optimization

Content Provider	Springer Nature Link
Author	Ma, Si Wei Gao, Wen
Copyright Year	2006
Abstract	In this paper, a new low complexity integer transform is proposed, which has been adopted by AVS1-P7. The proposed transform can enable AVS1-P7 to share the same quantization/dequantization table with AVS1-P2. As the bases of the proposed transform coefficients are very close, the transform normalization can be implemented only on the encoder side and the dequantization table size can be reduced compared with the transform used in H.264/MPEG-4 AVC. Along with the feature of the proposed transform, adaptive dead-zone quantization optimization for the proposed transform is studied. Experimental results show that the proposed integer transform has similar coding performance compared with the transform used in H.264/MPEG-4 AVC, and would gain near 0.1dB with the adaptive dead-zone quantization optimization.
Starting Page	354
Ending Page	359
Page Count	6
File Format	PDF
ISSN	10009000
Journal	Journal of Computer Science and Technology
Volume Number	21
Issue Number	3
e-ISSN	18604749
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2006-01-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	AVS discrete cosine transform (DCT) integer transform quantization Theory of Computation Information Systems Applications (incl.Internet) Artificial Intelligence (incl. Robotics) Computer Science Software Engineering Data Structures, Cryptology and Information Theory
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Computational Theory and Mathematics Computer Science Applications Software Hardware and Architecture

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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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