NDLI: Wavelet-Based Image Interpolation Using a Three-Component Exponential Mixture Model

Content Provider	IEEE Xplore Digital Library
Author	Tian, Jing Yu, Wei-Yu Xie, Sheng-Li
Copyright Year	2008
Abstract	Wavelet-based image interpolation typically treats the input image as the low-pass filtered subbands of an unknown wavelet-transformed high-resolution image, and then produces the unknown high-resolution image by estimating the wavelet coefficients of the high-pass filtered subbands. The major challenge is to exploit the inter-scale correlation among the wavelet coefficients. In contrast to that the conventional Gaussian mixture (GM) model only exploits the magnitude information of the wavelet coefficients, a three-component exponential mixture (TCEM) model is proposed in this paper to investigate both the magnitude information and the sign information of the wavelet coefficients. The proposed TCEM model consists of a Gaussian component, a positive exponential component and a negative exponential component. Furthermore, the proposed TCEM model is exploited to develop an image interpolation approach. Experiments are conducted to demonstrate the superior performance of the proposed approach.
Starting Page	129
Ending Page	132
File Size	419121
Page Count	4
File Format	PDF
ISBN	9780769531199
DOI	10.1109/CISP.2008.385
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation Low pass filters Exponential distribution Gaussian distribution Signal processing Probability distribution Wavelet coefficients Load modeling
Content Type	Text
Resource Type	Article

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