NDLI: Modulo transforms - an alternative to lifting

Content Provider	IEEE Xplore Digital Library
Author	Srinivasan, S.
Copyright Year	1991
Abstract	This paper introduces a new paradigm for the construction of reversible transforms that map integers to integers. Transform matrices with integer entries are first considered, and the modular arithmetic properties of transform coefficients are studied. It is shown that these transform coefficients are redundant in modular arithmetic. Further, this redundancy can be exploited by quantizing transform coefficients critically so as to produce an effective scaled transformation with unit determinant. This forms the basis of a class of transforms referred to as modulo transforms that are reversible and unit determinant, conditions necessary for applications such as lossless compression and reversible image rotation. The theory of modulo transforms is examined in depth. Analysis based on modular arithmetic shows that two-dimensional rotations can be critically quantized, albeit with nonequal bin widths along axes. A construction procedure is derived for realizing a reversible transform with small or unit scaling factors, and a theorem is stated wherein certain Pythagorean triples can be scalar quantized to produce a reversible, normalized, scalefree transform matrix. Modulo transforms and lifting are compared and contrasted in theory, and in experiments. The computational aspects of modulo transforms are also discussed in this paper.
Sponsorship	IEEE Signal Processing Society
Starting Page	1864
Ending Page	1874
Page Count	11
File Size	1278873
File Format	PDF
ISSN	1053587X
Volume Number	54
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Arithmetic Discrete transforms Image coding Discrete cosine transforms Wavelet transforms Quantization Linear approximation Data compression Pulse modulation Signal processing transforms Coding lifting modular arithmetic number theory reversibility
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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