Quaternionic Analysis of Colour Images

نویسنده

  • P. L. Taylor
چکیده

The aim of this paper is to present the basics of a mathematical theory of a new Fourier transform of colour images from the point of view of Clifford analysis. Quaternionic-valued signals have long been used as a model for colour images and Fourier transforms for such signals have been studied in [3], [?], [6], [?], [7]. In this paper we use a version of the Fourier kernel markedly from those in these works, which arises naturally in Clifford analysis from a consideration of the so-called Clifford-Hermite functions. The kernel we use first appeared in [1], [2]. Properties of the associated Fourier transform are developed including appropriate convolution theorems. Fourier series for images which are periodic with respect to the canonical lattice Z in R are investigated and applied to the problem of determining which signals have the property that their Z-shifts are orthogonal with respect to the natural inner product – information that is crucial in the construction of quaternionic-valued wavelets on the plane. Finally we investigate quaternionic-valued quadrature mirror filters and solutions of the two-dimensional quaternionic dilation equation.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Spatial and spectral quaternionic approaches for colour images

Hypercomplex or quaternions numbers have been used recently for both greyscale and colour image processing. Fast, numerous hypercomplex 2D Fourier transforms were presented as a generalization of the complex 2D Fourier transform to this new hypercomplex space. Thus, the major problem was to put an interpretation of what information the Fourier coefficients could provide. In this paper, we first...

متن کامل

Classification of Pre-sliced Ham Images with Quaternionic Singular Values Using an Adaptive Multilayer Perceptron

The quaternionic representation of ham images, treating RGB colour components as a single unit instead of as separate components, is very effective. The advantage of using quaternion arithmetic is that the perceptually richer colour images can be represented and analyzed as a single entity, improving the accuracy of pattern recognition models. The quaternionic singular value decomposition (SVD)...

متن کامل

Structure Tensor of Colour Quaternion Image Representations for Invariant Feature Extraction

Colour image representation using real quaternions has shown to be very useful for linear and morphological colour filtering. This paper deals with the extension of first derivatives-based structure tensor for various quaternionic colour image representations. Classical corner and edge features are obtained from eigenvalues of the quaternionic colour structure tensors. We study the properties o...

متن کامل

Colour-Texture Image Segmentation using Hypercomplex Gabor Analysis

Texture analysis such as segmentation and classification plays a vital role in computer vision and pattern recognition and is widely applied to many areas such as industrial automation, bio-medical image processing and remote sensing. In this paper, we first extend the well-known Gabor filters to color images using a specific form of hypercomplex numbers known as quaternions. These filters are ...

متن کامل

Quaternions et Algèbres Géométriques, de nouveaux outils pour les images numériques couleur. (Quaternions and Geometric Algebras, new tools for digital colour images)

The main subject of this PhD thesis is colour image processing. The first methods dealing with these images consisted in applying existing greyscale processing alorithms on each of the three colour components. Colour processing has improved using perceptual colour spaces but also by considering colours as vectors. In this work, we follow the idea of colour modelization and we propose to encode ...

متن کامل

ذخیره 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 نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007