IMAGE COMPRESSION USING COMBINATION OF QUANTIZATION AND BILINEAR INTERPOLATION ALGORITHM

Sanyoto, S. Reynold Andika (2012) IMAGE COMPRESSION USING COMBINATION OF QUANTIZATION AND BILINEAR INTERPOLATION ALGORITHM. Other thesis, Fakultas Ilmu Komputer Unika Soegijapranata.

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Abstract

An image is represented as a collection of pixels that make up the composition of the matrix. At each pixel stored color information. Image is consists of a collection of color such as a palette , each color in the palette has a unique number for each color. That color information will be used to represent an image. Each pixel stores the value for each of red green blue. Range of colors used is 8 bits , so the image that save with 24 bit is image with the true color , that is color range between 0 to 255. An image also has a size of dimension / resolution in visualization given by the width x height. Resolution is how much pixel that contain in a picture. Much more resolution that the picture has means that this picture will also has a bigger pixel , so the picture will look softer in a visualization manner. However , much more resolution that a picture has means that this picture will also has a big size.

Item Type:	Thesis (Other)
Subjects:	000 Computer Science, Information and General Works > 080 Quotations
Divisions:	Faculty of Computer Science
Depositing User:	Mr Ign. Setya Dwiana
Date Deposited:	16 Mar 2016 09:42
Last Modified:	16 Mar 2016 09:42
URI:	http://repository.unika.ac.id/id/eprint/8040

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