Resolution enhancement of pictorial data is desirable in many applications when images at desirable resolution levels are not available. It is a classic signal interpolation problem and several conventional approaches such as zero-order interpolation, bilinear and spline interpolation are widely used. Recently several efforts in the field have utilised wavelet-domain methodologies with the intention of overcoming some of the problems associated with conventional treatment. In this work, three wavelet domain image resolution enhancement algorithms are proposed. The first proposed algorithm is based on the estimation of detail wavelet coefficients at high resolution scales. The second algorithm utilises the cycle spinning methodology. For the third algorithm a directional variant of the cycle spinning methodology is proposed with an aim of reducing the over-smoothing of salient image features as well as offering a reduction in computational complexity. The results show that the proposed methods are considerably superior to conventional image interpolation techniques, both in objective and subjective terms, while also comparing favourably with the competing methods.
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Alptekin Temizel has received his PhD from The Centre for Vision, Speech and Signal Processing, University of Surrey,UK. Currently, he is an assistant professor in the Informatics Institute, METU. His research interests include image-video processing, computer vision, video surveillance and satellite image processing.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Resolution enhancement of pictorial data is desirable in many applications when images at desirable resolution levels are not available. It is a classic signal interpolation problem and several conventional approaches such as zero-order interpolation, bilinear and spline interpolation are widely used. Recently several efforts in the field have utilised wavelet-domain methodologies with the intention of overcoming some of the problems associated with conventional treatment. In this work, three wavelet domain image resolution enhancement algorithms are proposed. The first proposed algorithm is based on the estimation of detail wavelet coefficients at high resolution scales. The second algorithm utilises the cycle spinning methodology. For the third algorithm a directional variant of the cycle spinning methodology is proposed with an aim of reducing the over-smoothing of salient image features as well as offering a reduction in computational complexity. The results show that the proposed methods are considerably superior to conventional image interpolation techniques, both in objective and subjective terms, while also comparing favourably with the competing methods. 156 pp. Englisch. Bestandsnummer des Verkäufers 9783838325781
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Temizel AlptekinAlptekin Temizel has received his PhD from The Centre for Vision, Speech and Signal Processing, University of Surrey,UK. Currently, he is an assistant professor in the Informatics Institute, METU. His research interes. Bestandsnummer des Verkäufers 5413219
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Resolution enhancement of pictorial data is desirable in many applications when images at desirable resolution levels are not available. It is a classic signal interpolation problem and several conventional approaches such as zero-order interpolation, bilinear and spline interpolation are widely used. Recently several efforts in the field have utilised wavelet-domain methodologies with the intention of overcoming some of the problems associated with conventional treatment. In this work, three wavelet domain image resolution enhancement algorithms are proposed. The first proposed algorithm is based on the estimation of detail wavelet coefficients at high resolution scales. The second algorithm utilises the cycle spinning methodology. For the third algorithm a directional variant of the cycle spinning methodology is proposed with an aim of reducing the over-smoothing of salient image features as well as offering a reduction in computational complexity. The results show that the proposed methods are considerably superior to conventional image interpolation techniques, both in objective and subjective terms, while also comparing favourably with the competing methods.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 156 pp. Englisch. Bestandsnummer des Verkäufers 9783838325781
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Resolution enhancement of pictorial data is desirable in many applications when images at desirable resolution levels are not available. It is a classic signal interpolation problem and several conventional approaches such as zero-order interpolation, bilinear and spline interpolation are widely used. Recently several efforts in the field have utilised wavelet-domain methodologies with the intention of overcoming some of the problems associated with conventional treatment. In this work, three wavelet domain image resolution enhancement algorithms are proposed. The first proposed algorithm is based on the estimation of detail wavelet coefficients at high resolution scales. The second algorithm utilises the cycle spinning methodology. For the third algorithm a directional variant of the cycle spinning methodology is proposed with an aim of reducing the over-smoothing of salient image features as well as offering a reduction in computational complexity. The results show that the proposed methods are considerably superior to conventional image interpolation techniques, both in objective and subjective terms, while also comparing favourably with the competing methods. Bestandsnummer des Verkäufers 9783838325781
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Taschenbuch. Zustand: Neu. Image Resolution Enhancement in Wavelet Domain | Wavelet Domain Methods to Obtain Higher Resolution Images | Alptekin Temizel | Taschenbuch | 156 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838325781 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 101424721
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Paperback. Zustand: Brand New. 156 pages. 8.66x5.91x0.36 inches. In Stock. Bestandsnummer des Verkäufers __3838325788
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