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.
Wavelet-Based Image Interpolation Using a Three-Component Exponential Mixture Model
2008 Congress on Image and Signal Processing ; 4 ; 129-132
2008-05-01
419121 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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