Texture coding using a Wold decomposition model
نویسندگان
چکیده
A novel approach for coding textured images is presented. The texture field is assumed to be a realization of a regular homogeneous random field, which can have a mixed spectral distribution. On the basis of a two-dimensional (2-D) Wold-like decomposition, the field is represented as a sum of a purely indeterministic, harmonic, and countable number of evanescent fields. We present an algorithm for estimating and coding the texture model parameters, and show that the suggested algorithm yields high-quality reconstructions at low bit rates. The model and the resulting coding algorithm are seen to be applicable to a wide variety of texture types found in natural images.
منابع مشابه
The two-dimensional Wold decomposition for segmentation and indexing in image libraries
This paper presents a method for indexing and retrieval of multimediadata through texture segmentation, using the Wold decomposition. The texture field is assumed to be a realisation of a regular homogeneous random field. On the basis of a 2-D Wold-like decomposition, the field is represented as the sum of a purely indeterministic component, a harmonic component and a countable number of evanes...
متن کاملRegular Texture Fault Detection by Wold-Like Decomposition
Sriram Subramanian1, Kap Luk Chan2, and Xiaoran Mo2 1 Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India 2 School of Electrical & Electronics Engineering, Nanyang Technological University, Singapore e-mail: [email protected] Abstract: Detecting faults in regular textures typically involves identi cation of local structures, such as knots, worm hol...
متن کاملPeriodicity, Directionality, and Randomness: Wold Features for Image Modeling and Retrieval
One of the fundamental challenges in pattern recognition is choosing a set of features appropriate to a class of problems. In applications such as database retrieval, it is important that image features used in pattern comparison provide good measures of image perceptual similarities. In this paper, we present an image model with a new set of features that address the challenge of perceptual si...
متن کاملPeriodicity, Directionality, and Randomness: Wold Features for Perceptual Pattern Recognition
One of the fundamental challenges in pattern recognition is choosing a set of features appropriate to a class of problems. In applications such as image retrieval, it is important that features used by the system in pattern comparison provide good measures of \perceptual similarity." We present here a new set of features and an image model based on the three mutually orthogonal components produ...
متن کاملWold features for unsupervised texture segmentation
An efficient texture representation for unsupervised segmentation is addressed based on the concept of Wold decomposition. Textures are described by the wavelet tuned to various scales and rotations to describe its deterministic component, and by the autogressive model to describe its indeterministic component. The wavelet features and the AR parameters capturing the perceptual properties, "per...
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:
- IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
دوره 5 9 شماره
صفحات -
تاریخ انتشار 1996