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Superresolution with second generation wavelets
Affiliation:1. Department of Engineering and Architecture, University of Trieste, Italy;2. Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany;3. DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Germany;4. Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania;5. Department of Internal Medicine/Cardiology, Charité Campus Virchow Clinic, Berlin, Germany;6. Institute of Cardiology and Center of Excellence on Aging, “G. D''Annunzio” University of Chieti, Italy;1. VLSI Division, School of Electronics Engineering, VIT University, Vellore, India;2. Department of Electronic Engineering, College of Engineering, Shantou University, China;3. Aceic Design Technologies, Bengaluru, India;4. TATA Elxsi Ltd., Trivandrum, India;1. School of Information and Communication Engineering, North University of China, Taiyuan 030051, China;2. Department of Science, Taiyuan Institute of Technology, Taiyuan 030008, China
Abstract:Over the last 3 years or so, first-generation wavelets have been used to realize superresolution from a captured sequence of low-resolution (LR) degraded frames. Here, it is pointed out that second-generation wavelets (SGWs) are inherently more suited for image superresolution. From preliminary results that exploit subpixel displacements between LR frames to attain superresolution, it is concluded that SGWs show promise and potential to be extremely fast, efficient and versatile for superresolution.
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