| Summary: | 碩士 === 國立成功大學 === 電腦與通信工程研究所 === 94 === Wavelet transform and its theory is one of the most exciting developments in the last decade. In fact, the wavelet transform has been developed independently for various fields such as signal processing, image processing, audio processing, communication, and applied mathematics. Due to the wavelet representation has characteristics of the efficient time-frequency localization and the multi-resolution analysis, the wavelet transforms are suitable for processing the image resolution enhancement. Therefore, this thesis focuses on the study of wavelet-based image resolution enhancement and proposes a framework of image resolution enhancement using wavelet transform.
This thesis proposed a wavelet-domain image resolution enhancement algorithm which is based on the estimation of detail wavelet coefficients at high resolution scales. The method exploits shape function according to wavelet coefficient correlation in a local neighborhood sense and employs undecimated discrete wavelet transform to estimate the unknown detail coefficients. Results show that the proposed method is considerably superior to conventional image interpolation techniques, both in objective and subjective terms.
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