Two-dimensional quaternion wavelet transform
نویسندگان
چکیده
In this paper we introduce the continuous quaternion wavelet transform (CQWT). We express the admissibility condition in terms of the (right-sided) quaternion Fourier transform. We show that its fundamental properties, such as inner product, norm relation, and inversion formula, can be established whenever the quaternion wavelets satisfy a particular admissibility condition. We present several examples of the CQWT. As an application we derive a Heisenberg type uncertainty principle for these extended wavelets. The quaternion Fourier transform (QFT), which is a nontrivial generalization of the real and complex Fourier transform (FT) using quaternion algebra has been of interest to researchers for some years (see e.g. [1,2,7,16]). It was found that many FT properties still hold but others have to be modified. Based on the (right-sided) QFT, one can extend the classical wavelet transform (WT) to quaternion algebra while enjoying the same properties as in the classical case. He [21] and Zhao and Peng [23] constructed the continuous quaternion wavelet transform of quaternion-valued functions. They also demonstrated a number of properties of these extended wavelets using the classical Fourier transform (FT). In [6], using the (two-sided) QFT Traversoni proposed a discrete quaternion wavelet transform which was applied by Bayro-Corrochano [12] and Zhou et al. [13]. Recently, in [18,19], we introduced an extension of the WT to Clifford algebra by means of the kernel of the Clifford Fourier transform [8]. The purpose of this paper is to construct the 2-D continuous quaternion wavelet transform (CQWT) based on quaternion algebra. We emphasize that our approach is significantly different from previous work in the definition of the exponential kernel. Our construction uses the kernel of the (right-sided) QFT which in general does not commute with quaternions. The previous papers considered the kernel of the FT which commutes with the quaternions so that the properties of the extension of the WT to quaternion algebra is a quite similar to the classical wavelets. In the present paper we use the (right-sided) QFT to investigate some important properties of the CQWT. Special attention is devoted to inner product, norm relation, and inversion formula. We show that these fundamental properties can be established whenever the admissible quaternion wavelets satisfy a particular admissibility condition. Using the properties of the CQWT and the uncertainty principle for the (right-sided) QFT [16] we establish an uncertainty principle for the CQWT.
منابع مشابه
Quaternion Algebra-Valued Wavelet Transform
The quaternion Fourier transform (QFT), which is a nontrivial generalization of the real and complex Fourier transform (FT) using quaternion algebra has been of interest to researchers for some years (see e.g. [3, 5]). It was found that many FT properties still hold but others have to be modified. Based on the (right-sided) QFT, one can extend the classical wavelet transform (WT) to quaternion ...
متن کاملContinuous quaternion fourier and wavelet transforms
It is well-known that every two dimensional rotation around the origin in the plane R can be represented by the multiplication of the complex number e = cos θ + i sin θ, 0 ≤ θ < 2π. Similarly, every three dimensional rotation in the space R can be represented by the multiplications of the quaternion q from the left-hand side and its conjugate q̄ from the right-hand side, where q = cos(θ/2) + α s...
متن کاملQuaternion Wavelet Analysis and Application in Image Denoising
The quaternion wavelet transform is a new multiscale analysis tool. Firstly, this paper studies the standard orthogonal basis of scale space and wavelet space of quaternion wavelet transform in spatial L2 R2 , proves and presents quaternion wavelet’s scale basis function and wavelet basis function concepts in spatial scale space L2 R2;H , and studies quaternion wavelet transform structure. Fina...
متن کاملCoherent Image Processing using Quaternion Wavelets
We develop a quaternion wavelet transform (QWT) as a new multiscale analysis tool for geometric image features. The QWT is a near shift-invariant, tight frame representation whose coefficients sport a magnitude and three phase values, two of which are directly proportional to local image shifts. The QWT can be efficiently computed using a dual-tree filter bank and is based on a 2-D Hilbert tran...
متن کاملImage Processing Using the Quaternion Wavelet Transform
The contribution of this work is to generalize the real and complex wavelet transforms and to derive for the first time a quaternionic wavelet pyramid for multi-resolution analysis using three phases. The paper can be very useful for researchers and practitioners interested in understanding and applications of the quaternion wavelet transform.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Applied Mathematics and Computation
دوره 218 شماره
صفحات -
تاریخ انتشار 2011