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Image Compression and Enhancement for Mobile Location Search Engine
Details
Data transmission and storage cost money. The more information being dealt with, the more it costs. In spite of this, most digital data are not stored in the most compact form. Binary code that can be executed on a computer, individual samples from a data acquisition system, when taking pictures, there are a number of choices beside compression ratios, that can made about such things as image sizes, and file formats. The choices determine image quality and the size of the files created. When taking an image, the size of the image file is huge compared to many other types of computer files since each pixel requires 24 bits (3 bytes) to store color information. As the resolution increases, so does the file size. A file for a low-resolution 1 mega pixel image is 3 megabytes, and at 3 mega pixels are climbs to 9 megabytes and at 6 mega pixels all the way to 18 megabytes. The files become too large to easily store, transmit, and edit. Compressing images not only let s us save more images on a storage device; it also allows us to download, display, edit, and transmit them more quickly.
Autorentext
PERFIL -Cursando el doctorado en el tema titulado con "Modelo orquestador para la seguridad del sistema2 Especialización de Ingeniería de Software en el área de la Facultad de Ciencias de la Computación Ciencias de la Ingeniería, de Devi Ahilya Vishwavidyalaya Indore (M.P.). -M.Tech. Information Technology con 8,68 GGPA en escala de 10 (81,01%) en 2009.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Anzahl Seiten 112
- Herausgeber LAP LAMBERT Academic Publishing
- Gewicht 185g
- Untertitel Mobile Location Search Engine
- Autor Aradhana Goutam
- Titel Image Compression and Enhancement for Mobile Location Search Engine
- Veröffentlichung 20.04.2010
- ISBN 3838359100
- Format Kartonierter Einband
- EAN 9783838359106
- Jahr 2010
- Größe H220mm x B150mm x T7mm
- GTIN 09783838359106