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Keywords
(11)
Bit Allocation
Frequency Domain
High Resolution
Image Coding
Image Compression
Noise Shaping
Progressive Transmission
Pyramid Algorithm
Rate Distortion Theory
Vector Quantizer
Wavelet Transform
Related Publications
(159)
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Image coding using wavelet transform
Image coding using wavelet transform,10.1109/83.136597,IEEE Transactions on Image Processing,Marc Antonini,Michel Barlaud,Pierre Mathieu,Ingrid Daubec
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Image coding using wavelet transform
(
Citations: 1910
)
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Marc Antonini
,
Michel Barlaud
,
Pierre Mathieu
,
Ingrid Daubechies
A scheme for
image compression
that takes into account psychovisual features both in the space and frequency domains is proposed. This method involves two steps. First, a
wavelet transform
used in order to obtain a set of biorthogonal subclasses of images: the original image is decomposed at different scales using a pyramidal algorithm architecture. The decomposition is along the vertical and horizontal directions and maintains constant the number of pixels required to describe the image. Second, according to Shannon's
rate distortion
theory, the wavelet coefficients are vector quantized using a multiresolution codebook. To encode the wavelet coefficients, a
noise shaping
bit allocation
procedure which assumes that details at
high resolution
are less visible to the human eye is proposed. In order to allow the receiver to recognize a picture as quickly as possible at minimum cost, a
progressive transmission
scheme is presented. It is shown that the
wavelet transform
is particularly well adapted to
progressive transmission
Journal:
IEEE Transactions on Image Processing
, vol. 1, no. 2, pp. 205220, 1992
DOI:
10.1109/83.136597
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Citation Context
(911)
...The discrete wavelet transform (DWT) is widely known as to feature excellent decorrelation properties [
1
]...
Guoan Yang
,
et al.
Optimization Design of Biorthogonal Wavelet Filter Banks for Extending...
...However, the quantization matrix only was limited to biorthogonal db9/7 wavelet [
11
], and same quantization factor was used in a subband...
...In Table IV, the Ort, L.P.F, S.o.B.F, E.C, L.o.F are abbreviations of orthogonality, linear phase filters, symmetry of base functions, energy compaction, length of filters, respectively; the db4, db8 [44] and db97 [
11
], [44] are scalar wavelet; the dghm [45], cl2 [35], cl3 [35] and SA4 [46] are unbalanced multiwavelet, with pre, postfiltering operations described in [20], [26], [27]; the bcl2, ort4b and ort6b [21], [22] balanced ...
Lihong Cui
,
et al.
Adaptive MultiwaveletBased Watermarking Through JPW Masking
...Another advantage is that high resolution images, wavelets give good compression [1] [
5
] [6]...
Achintya Singhal
,
et al.
Comparison of different wavelets for watermarking of colored images
...The DWT kernel used was the 9/7tap DWT [
42
], and a fivestage transformwas applied to each spectral band...
...The transform kernel used was the 9/7tap biorthogonal wavelet [
42
]...
Alessandro J. S. Dutra
,
et al.
Successive Approximation Wavelet Coding of AVIRIS Hyperspectral Images
...UBBAND/WAVELET decompositions have been the topic of extensive study for more than three decades [1]–[
5
] and have been applied in dyadic and other tree structures for the purpose of compression...
Jianyu Lin
,
et al.
TwoBand Hybrid FIR–IIR Filters for Image Compression
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Citations
(1910)
Optimization Design of Biorthogonal Wavelet Filter Banks for Extending JPEG 2000 Standard Part2
Guoan Yang
,
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Journal:
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(
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IEEE Transactions on Image Processing
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