Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Fast and Efficient Near-Lossless Image Compression using Zipper
  Transformation   Near-lossless image compression-decompression scheme is proposed in this
paper using Zipper Transformation (ZT) and inverse zipper transformation (iZT).
The proposed ZT exploits the conjugate symmetry property of Discrete Fourier
Transformation (DFT). The proposed transformation is implemented using two
different configurations: the interlacing and concatenating ZT. In order to
quantify the efficacy of the proposed transformation, we benchmark with
Discrete Cosine Transformation (DCT) and Fast Walsh Hadamard Transformation
(FWHT) in terms of lossless compression capability and computational cost.
Numerical simulations show that ZT-based compression algorithm is
near-lossless, compresses better, and offers faster implementation than both
DCT and FWHT. Also, interlacing and concatenating ZT are shown to yield similar
results in most of the test cases considered.

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The categories of this paper are: atom-ph
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The categories of this paper are: stat
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The categories of this paper are: econ
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The categories of this paper are: alg-geom
3
The categories of this paper are: physics
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The categories of this paper are: cmp-lg
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The categories of this paper are: hep-ex
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The categories of this paper are: adap-org
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The categories of this paper are: math
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The categories of this paper are: dg-ga
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The categories of this paper are: q-alg
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The categories of this paper are: nucl-th
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The categories of this paper are: funct-an
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The categories of this paper are: astro-ph
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The categories of this paper are: q-bio
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The categories of this paper are: chao-dyn