Gaussian mixture model for Image Contrast Enhancement - Softcover

Rangu, Srikanth

Softcover

ISBN 10: 365988619X ISBN 13: 9783659886195

Verlag: LAP LAMBERT Academic Publishing, 2016

Inhaltsangabe

The objective of an image enhancement technique is to bring out hidden image details or to increase the contrast of an image with a low dynamic range. Such a technique produces an output image that subjectively looks better than the original image by increasing the gray-level differences (i.e., the contrast) among objects and background. Numerous enhancement techniques have been introduced, and these can be divided into three groups: 1) Techniques that decompose an image into high- and low-frequency signals for manipulation; 2) Transform-based techniques; and 3) Histogram modification techniques. Techniques in the first two groups often use multiscale analysis to decompose the image into different frequency bands and enhance its desired global and local frequencies. These techniques are computationally complex but enable global and local contrast enhancement simultaneously by transforming the signals in the appropriate bands or scales. Furthermore, they require appropriate parameter settings that might otherwise result in image degradations. For example, the center-surround Retinex algorithm was developed to attain lightness and color constancy for machine vision applications.

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Über die Autorin bzw. den Autor

R Srikanth completed B.Tech in ECE from JNTU College of Engineering, Kakinada, JNTU, Hyderabad and M.Tech from JNTUH, Hyderabd. Presently working as Assistant Professor in Dept. Of ECE, Kakatiya Institute of Technology and Science, Warangal, Telengana, India. His research area Signal and Image processing and pattern recognition and VLSI.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2016
• Sprache: Englisch
• ISBN 10: 365988619X
• ISBN 13: 9783659886195
• Einband: Taschenbuch
• Anzahl der Seiten: 84
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Editorial Academica Espanola; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland