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Title: Image Resolution Enhancement using Bicubic and Spline Interpolation Techniques

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Title:
Image Resolution Enhancement using Bicubic and Spline Interpolation Techniques
Author Name:
Anbarasi A
Abstract:
Abstract: Resolution enhancement (RE) schemes (which are not based on wavelets) suffer from the drawback of losing high-frequency contents (which results in blurring). The discrete-wavelet-transform-based (DWT) RE scheme generates artifacts (due to a DWT shift-variant property). A wavelet-domain approach based on dual-tree complex wavelet transform (DT-CWT) and nonlocal means (NLM) is proposed for RE of the satellite images. A satellite input image is decomposed by DT-CWT (which is nearly shift invariant) to obtain high-frequency sub bands. The high-frequency sub bands and the low-resolution (LR) input image are interpolated using the Lanczos interpolator. Bicubic Interpolation look’s best with smooth edges and much less blurring than the Lanczos result. The high-frequency sub bands are passed through an NLM filter to cater for the artifacts generated by DT-CWT (despite of its nearly shift invariance). The filtered high-frequency sub bands and the LR input image are combined using inverse DT-CWT to obtain a resolution-enhanced image. Objective and subjective analyses reveal superiority of the proposed technique over the conventional and state-of-the-art RE techniques. Index Terms—Dual-tree complex wavelet transform (DT-CWT), Lanczos interpolation, and resolution enhancement (RE), shift variant, bicubic spline interpolation.
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