Lossy Image Compression using Filter: Visual information transmitted in the form of digital images is becoming a major method of communication. - Softcover
Inhaltsangabe
Denoising of natural images is the fundamental and challenging research problem of Image processing. This problem appears to be very simple however that is not so when considered under practical situations, where the type of noise, amount of noise and the type of images all are variable parameters, and the single algorithm or approach can never be sufficient to achieve satisfactory results. Fourier transform method is localized in frequency domain where the Wavelet transform method is localized in both frequency and spatial domain but both the above methods are not data adaptive. This thesis reviews the existing denoising algorithms, such as principal component analysis (PCA), Adaptive principal component analysis, and independent component analysis (ICA), and performs their comparative study with their parameters. Different types of noise can be removed by using these techniques, but in our project we use the Gaussian noise. Selection of the denoising algorithm is application dependent. Hence, it is necessary to have knowledge about the noise present in the image so as to select the appropriate denoising algorithm.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Myself Anupkumar Bhatulal Jayaswal working in R C Patel institute of technology as Professor.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Suchergebnisse für Lossy Image Compression using Filter: Visual information...
Foto des Verkäufers
Lossy Image Compression using Filter
Verlag:
LAP LAMBERT Academic Publishing Apr 2020, 2020
ISBN 10: 6202525037
ISBN 13: 9786202525039
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Denoising of natural images is the fundamental and challenging research problem of Image processing. This problem appears to be very simple however that is not so when considered under practical situations, where the type of noise, amount of noise and the type of images all are variable parameters, and the single algorithm or approach can never be sufficient to achieve satisfactory results. Fourier transform method is localized in frequency domain where the Wavelet transform method is localized in both frequency and spatial domain but both the above methods are not data adaptive. This thesis reviews the existing denoising algorithms, such as principal component analysis (PCA), Adaptive principal component analysis, and independent component analysis (ICA), and performs their comparative study with their parameters. Different types of noise can be removed by using these techniques, but in our project we use the Gaussian noise. Selection of the denoising algorithm is application dependent. Hence, it is necessary to have knowledge about the noise present in the image so as to select the appropriate denoising algorithm. 80 pp. Englisch. Bestandsnummer des Verkäufers 9786202525039
Neu kaufen
EUR 39,90
EUR 23,00 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Lossy Image Compression using Filter: Visual information transmitted in the form of digital images is becoming a major method of communication.
Verlag:
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202525037
ISBN 13: 9786202525039
Neu
Softcover
Anbieter: Books Puddle, New York, NY, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 26387176535
Neu kaufen
EUR 64,32
EUR 3,43 Versand
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: 4 verfügbar
Beispielbild für diese ISBN
Lossy Image Compression using Filter: Visual information transmitted in the form of digital images is becoming a major method of communication.
Verlag:
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202525037
ISBN 13: 9786202525039
Neu
Softcover
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers 392456072
Neu kaufen
EUR 62,78
EUR 7,45 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 4 verfügbar
Beispielbild für diese ISBN
Lossy Image Compression using Filter: Visual information transmitted in the form of digital images is becoming a major method of communication.
Verlag:
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202525037
ISBN 13: 9786202525039
Neu
Softcover
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. PRINT ON DEMAND. Bestandsnummer des Verkäufers 18387176541
Neu kaufen
EUR 64,09
EUR 9,95 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 4 verfügbar
Foto des Verkäufers
Lossy Image Compression using Filter
Verlag:
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202525037
ISBN 13: 9786202525039
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jayaswal AnupkumarMyself Anupkumar Bhatulal Jayaswal working in R C Patel institute of technology as Professor.Denoising of natural images is the fundamental and challenging research problem of Image processing. This problem appe. Bestandsnummer des Verkäufers 385946210
Neu kaufen
EUR 34,25
EUR 48,99 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Lossy Image Compression using Filter
Verlag:
LAP LAMBERT Academic Publishing Apr 2020, 2020
ISBN 10: 6202525037
ISBN 13: 9786202525039
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Denoising of natural images is the fundamental and challenging research problem of Image processing. This problem appears to be very simple however that is not so when considered under practical situations, where the type of noise, amount of noise and the type of images all are variable parameters, and the single algorithm or approach can never be sufficient to achieve satisfactory results. Fourier transform method is localized in frequency domain where the Wavelet transform method is localized in both frequency and spatial domain but both the above methods are not data adaptive. This thesis reviews the existing denoising algorithms, such as principal component analysis (PCA), Adaptive principal component analysis, and independent component analysis (ICA), and performs their comparative study with their parameters. Different types of noise can be removed by using these techniques, but in our project we use the Gaussian noise. Selection of the denoising algorithm is application dependent. Hence, it is necessary to have knowledge about the noise present in the image so as to select the appropriate denoising algorithm.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. Bestandsnummer des Verkäufers 9786202525039
Neu kaufen
EUR 39,90
EUR 60,00 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 1 verfügbar
Foto des Verkäufers
Lossy Image Compression using Filter : Visual information transmitted in the form of digital images is becoming a major method of communication.
Verlag:
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202525037
ISBN 13: 9786202525039
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Denoising of natural images is the fundamental and challenging research problem of Image processing. This problem appears to be very simple however that is not so when considered under practical situations, where the type of noise, amount of noise and the type of images all are variable parameters, and the single algorithm or approach can never be sufficient to achieve satisfactory results. Fourier transform method is localized in frequency domain where the Wavelet transform method is localized in both frequency and spatial domain but both the above methods are not data adaptive. This thesis reviews the existing denoising algorithms, such as principal component analysis (PCA), Adaptive principal component analysis, and independent component analysis (ICA), and performs their comparative study with their parameters. Different types of noise can be removed by using these techniques, but in our project we use the Gaussian noise. Selection of the denoising algorithm is application dependent. Hence, it is necessary to have knowledge about the noise present in the image so as to select the appropriate denoising algorithm. Bestandsnummer des Verkäufers 9786202525039
Neu kaufen
EUR 40,89
EUR 60,69 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 1 verfügbar
Foto des Verkäufers
Lossy Image Compression using Filter | Visual information transmitted in the form of digital images is becoming a major method of communication.
Verlag:
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202525037
ISBN 13: 9786202525039
Neu
Taschenbuch
Anbieter: preigu, Osnabrück, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Lossy Image Compression using Filter | Visual information transmitted in the form of digital images is becoming a major method of communication. | Anupkumar Jayaswal (u. a.) | Taschenbuch | 80 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202525039 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 118373062
Neu kaufen
EUR 36,25
EUR 70,00 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 5 verfügbar