Cohen-Daubechies-Feauveau wavelet
An example of the 2D wavelet transform that is used in JPEG2000

Cohen-Daubechies-Feauveau wavelet are the historically first family of biorthogonal wavelets, which was made popular by Ingrid Daubechies[1][2]. These are not the same as the orthogonal Daubechies wavelets, and also not very similar in shape and properties. However their construction idea is the same.

The JPEG 2000 compression standard uses the biorthogonal CDF 5/3 wavelet (also called the LeGall 5/3 wavelet) for lossless compression and a CDF 9/7 wavelet for lossy compression.



  • The primal generator is a B-spline if the simple factorization qprim(X) = 1 (see below) is chosen
  • The dual generator has the maximum number of smoothness factors which is possible for its length.
  • All generators and wavelets in this family are symmetric.


For every positive integer A there exists a unique polynomial QA(X) of degree A-1 satisfying the identity


This is the same polynomial as used in the construction of the Daubechies wavelets. But, instead of a spectral factorization, here we try to factor


where the factors are polynomials with real coefficients and constant coefficient 1. Then,




form a biorthogonal pair of scaling sequences. d is some integer used to center the symmetric sequences at zero or to make the corresponding discrete filters causal.

Depending on the roots of QA(X), there may be up to 2A − 1 different factorizations. A simple factorization is qprim(X) = 1 and qdual(X) = QA(X), then the primary scaling function is the B-spline of order A-1. For A=1 one obtains the orthogonal Haar wavelet.

Tables of coefficients

Cohen-Daubechies-Feauveau wavelet 5/3 used in JPEG 2000 standard.

For A=2 one obtains in this way the LeGall 5/3-wavelet:

A QA(X) qprim(X) qdual(X) aprim(Z) adual(Z)
2 1 + X 1 1 + X \frac12(1+Z)^2\,Z \frac12(1+Z)^2\,\left(-\frac12 + 2\,Z - \frac12\,Z^2\right)

For A=4 one obtains the 9/7-CDF-wavelet. One gets Q_4(X)=1 + 2\,X + 5/2\,X^2 + 5/2\,X^3, this polynomial has exactly one real root, thus it is the product of a linear factor 1-c\,X and a quadratic factor. The coefficient c, which is the inverse of the root, has an approximate value of -1.4603482098.

A QA(X) qprim(X) qdual(X)
4 1 + 2\,X + 5/2\,X^2 + 5/2\,X^3 1-c\,X 1 + (c + 2)*\,X + (c^2 + 2*c + 5/2)\,X^2

For the coefficients of the centered scaling and wavelet sequences one gets numerical values in an implementation–friendly form

k Analysis lowpass filter

(1/2 adual)

Analysis highpass filter


Synthesis lowpass filter


Synthesis highpass filter

(1/2 bprim)

-4 0.026748757411 0 0 0.026748757411
-3 -0.016864118443 0.091271763114 -0.091271763114 0.016864118443
-2 -0.078223266529 -0.057543526229 -0.057543526229 -0.078223266529
-1 0.266864118443 -0.591271763114 0.591271763114 -0.266864118443
0 0.602949018236 1.11508705 1.11508705 0.602949018236
1 0.266864118443 -0.591271763114 0.591271763114 -0.266864118443
2 -0.078223266529 -0.057543526229 -0.057543526229 -0.078223266529
3 -0.016864118443 0.091271763114 -0.091271763114 0.016864118443
4 0.026748757411 0 0 0.026748757411


There are two concurring numbering schemes for wavelets of the CDF family.

  • the number of smoothness factors of the lowpass filters, or equivalently the number of vanishing moments of the highpass filters, e.g. 2,2
  • the sizes of the lowpass filters, or equivalently the sizes of the highpass filters, e.g. 5,3

The first numbering was used in Daubechies' book Ten lectures on wavelets. Neither of this numbering is unique. The number of vanishing moments does not tell about the chosen factorization. A filterbank with filter sizes 7 and 9 can have 6 and 2 vanishing moments when using the trivial factorization, or 4 and 4 vanishing moments as it is the case for the JPEG 2000 wavelet. The same wavelet may therefore be referred to as "CDF 9/7" (based on the filter sizes) or "biorthogonal 4.4" (based on the vanishing moments).

Lifting decomposition

For the trivially factorized filterbanks a lifting decomposition can be explicitly given.[3]

Even number of smoothness factors

Let n be the number of smoothness factors in the B-spline lowpass filter, which shall be even.

Then define recursively

a_0 = \frac{1}{n}
a_m = \frac{1}{(n^2-4\cdot m^2)\cdot a_{m-1}}

The lifting filters are

s_{m}(z) = a_m\cdot(2\cdot m + 1)\cdot(1 + z^{(-1)^m})

Conclusively the interim results of the lifting are

x − 1(z) = z
x0(z) = 1
x_{m+1}(z) = x_{m-1}(z) + a_m\cdot(2\cdot m+1)\cdot(z+z^{-1}) \cdot z^{(-1)^m} \cdot x_{m}(z)

which leads to

x_{n/2}(z) = 2^{-n/2} \cdot (1+z)^n \cdot z^{n/2 \bmod 2 - n/2}

The filters xn / 2 and xn / 2 − 1 constitute the CDF-n,0 filterbank.

Odd number of smoothness factors

Now, let n be odd.

Then define recursively

a_0 = \frac{1}{n}
a_m = \frac{1}{(n^2-(2\cdot m-1)^2)\cdot a_{m-1}}

The lifting filters are

s_{m}(z) = a_m\cdot((2\cdot m + 1) + (2\cdot m - 1)\cdot z) / z^{m \bmod 2}

Conclusively the interim results of the lifting are

x − 1(z) = z
x0(z) = 1
x_{1}(z) = x_{-1}(z)+a_0\cdot x_0(z)
x_{m+1}(z) = x_{m-1}(z) + a_m\cdot((2\cdot m+1)\cdot z + (2\cdot m-1)\cdot z^{-1}) \cdot z^{(-1)^m} \cdot x_{m}(z)

which leads to

x(n + 1) / 2(z)∼(1 + z)n

where we neglect the translation and the constant factor.

The filters x(n + 1) / 2 and x(n − 1) / 2 constitute the CDF-n,1 filterbank.

External links


  1. ^ Cohen, Albert; Daubechies, Ingrid; Feauveau, Jean-Christophe (1992). "Biorthogonal bases of compactly supported wavelets". Comm. Pure & Appl. Math 45: pp. 485-560. 
  2. ^ Daubechies, Ingrid (1992). Ten Lectures on wavelets. 
  3. ^ Thielemann, Henning (2006). "section 3.2.4". Optimally matched wavelets (PhD thesis). 

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