9786139921508 - Modified Double Bilateral Filter for Sharpness Enhancement and Noise de Sable, Archana Harsing; Dhirbasi, Haricharan; Jondhale, Kalpana (5 resultados)

Kartoniert / Broschiert. Condición: New.

Taschenbuch. Condición: Neu. Modified Double Bilateral Filter for Sharpness Enhancement and Noise | Archana Harsing Sable (u. a.) | Taschenbuch | 80 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139921508 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Adaptive Bilateral filters are well known for removing the gaussian noise from images. Bilateral filtering smooth images while preserving edges, by means of a nonlinear combination of nearby image values. The method is noniterative, local, and simple. It combines gray levels or colors based on both their geometric closeness and their photometric similarity, and prefers near values to distant values in both domain and range. In this book, a new sharpening and smoothing algorithm: the Modified Adaptive Bilateral filter (MABF) is proposed. The proposed method, unlike other nonlinear filters, removes only corrupted pixel by the median value or by its neighboring pixel value. As a result it removes the noise effectively even at noise level as high as 90% and preserves the edges without any loss up to 80% of noise level. The new proposed Modified Adaptive Bilateral Filter is efficient for restoration of images which are highly corrupted by combined gaussian and impulse noise. 80 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Adaptive Bilateral filters are well known for removing the gaussian noise from images. Bilateral filtering smooth images while preserving edges, by means of a nonlinear combination of nearby image values. The method is noniterative, local, and simple. It combines gray levels or colors based on both their geometric closeness and their photometric similarity, and prefers near values to distant values in both domain and range. In this book, a new sharpening and smoothing algorithm: the Modified Adaptive Bilateral filter (MABF) is proposed. The proposed method, unlike other nonlinear filters, removes only corrupted pixel by the median value or by its neighboring pixel value. As a result it removes the noise effectively even at noise level as high as 90% and preserves the edges without any loss up to 80% of noise level. The new proposed Modified Adaptive Bilateral Filter is efficient for restoration of images which are highly corrupted by combined gaussian and impulse noise.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Adaptive Bilateral filters are well known for removing the gaussian noise from images. Bilateral filtering smooth images while preserving edges, by means of a nonlinear combination of nearby image values. The method is noniterative, local, and simple. It combines gray levels or colors based on both their geometric closeness and their photometric similarity, and prefers near values to distant values in both domain and range. In this book, a new sharpening and smoothing algorithm: the Modified Adaptive Bilateral filter (MABF) is proposed. The proposed method, unlike other nonlinear filters, removes only corrupted pixel by the median value or by its neighboring pixel value. As a result it removes the noise effectively even at noise level as high as 90% and preserves the edges without any loss up to 80% of noise level. The new proposed Modified Adaptive Bilateral Filter is efficient for restoration of images which are highly corrupted by combined gaussian and impulse noise.