Wavelet-Based Image Interpolation in Lifting Structure

Abstract

A floating-point wavelet-based and an integer wavelet-based image interpolations in lifting structures and polynomial curve fitting for image resolution enhancement are proposed in this thesis The proposed prediction methods estimate high-frequency wavelet coefficients of the original image on the available low-frequency wavelet coefficients so that the original image can be reconstructed by using the proposed prediction method To further improve the reconstruction performance we use polynomial curve fitting to build relationships between actual high-frequency wavelet coefficients and estimated high-frequency wavelet coefficients Results of the proposed prediction algorithm for different wavelet transforms are compared to show the proposed prediction algorithm outperforms other methods

Date of Award	2014 Aug 21
Original language	English
Supervisor	Shu-Mei Guo (Supervisor)