Representing images.

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Presentation transcript:

Representing images

Bit maps Binary data can represent images. Pictures must be shown on a screen or a printer as a series of dots or pixels. Images stored in this way are called bit-mapped image files. The more dots in a given area, the better the quality. This is called the resolution of the picture.

Pixellation When a bit-mapped image is enlarged, the pixels enlarge too. This produces a jagged, blurred image.

Resolution The higher the resolution, the bigger the file size. High resolution: 1288 kB Low resolution: 67 kB

Colour depth (bits per pixel) Colour depth or bit depth is the number of bits used to represent the colour of a single pixel, in other words, bits per pixel. The more bits used, the better the quality of the colour because more colours can be encoded. 24 bits per pixel 3 bits per pixel

Colour depth (bits per pixel) Each pixel is made up of quantities Red, Green & Blue colours If an image is stored at 3 bits per pixel – that implies there is 1 bit for Red, 1 for Green & 1 for Blue – a total of 8 different colours (23) If an image is stored at 24 bits per pixel – that implies there is 8 bits for Red, 8 for Green & 8 for Blue – a total of 16777216 colors (16.7 million colors) different colours (28) 24 bits per pixel 3 bits per pixel

Metadata Metadata is data about data. Metadata is useful in many types of file to provide extra information. Image files may contain metadata about: the height; the width; the colour depth; the resolution; camera used; exposure details; when the image was created; who owns the copyright; contact information.

The metadata for an image:

Vector graphics Pictures can also be stored as formulae. They define characteristics of points, lines and curves. They do not distort when enlarged, because the image is recalculated.