

Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Community
Ask the community for help and clear up your study doubts
Discover the best universities in your country according to Docsity users
Free resources
Download our free guides on studying techniques, anxiety management strategies, and thesis advice from Docsity tutors
The concepts of colour depth, file size, and image resolution in the context of scanning images. It covers the relationship between these factors and the impact on the quality and size of the resulting image files. It also provides guidelines for selecting appropriate resolutions for different uses, such as screen display, printing, and archiving.
Typology: Study notes
1 / 3
This page cannot be seen from the preview
Don't miss anything!
Back More detail about the scanning specification. Colour depth File size Resolution Colour depth Colour depth refers to the extent to which the range of the colour scale is sub- divided into intermediate shades. For example, in the grey scale 8 bit colour depth renders 256 shades from black to white. If 8 bit colour depth is applied to each of the three primary colours of RGB, usually referred to as 24 bit colour depth, the total number of colours possible is about 16 million (accurately, 16,777,216 colours). [The calculation for the number of colours available is 2 to the power of the
For practical purposes assume that colour images will be scanned at 24 bit colour depth in RGB format, and monochrome images at 8 bit colour depth in greyscale format. If however there are non grey tints in a monochrome image that it is important are recorded - sepia prints, for example, or perhaps old, yellowed papers - then colour scanning should be used. Of course, any monochrome image can be scanned as RGB with 24 bit colour depth, but because there are three colours to be captured instead of one, the file will be three times as big. (Back to top) Back to Glossary File size The size of an image file is determined by the amount of information it contains. The more information stored about an image, the bigger the file will be. The factors which determine the size of a scanned image file are :- Scanned (input) resolution; The size of the object scanned (or the format size of a digital camera); Colour depth; Colour format - Greyscale, RGB or CMYK; Scaling factor; To calculate scanned file sizes it is generally easiest to work back from the output required. First decide on the colour format and colour depth required - usually Greyscale or RGB at 8 bit depth per colour, then consider the scaling factor required for a given output resolution. Rather than detail the file size formulae here we have a scanning calculator Back to Glossary
which you can use. For simplicity it assumes 8 bit colour depth per colour - so that's 8 bit for greyscale and 24 bit for RGB. Having scanned an image, compression techniques can be used to remove unnecessary information, thus reducing the size of the file for storage purposes. The amount of reduction that can be achieved depends mostly on the image. An image that has large areas of identical colour for example is susceptible to very high levels of compression - a reduction in file size of 20 or more times is possible without visible degradation. However, an image with many areas of subtly graduated adjacent colours, such as might be found in a watercolour, might only be capable of a compression factor of 3 to 10 before visible degradation occurs. File compression The includes a selection of compression factors to enable storage requirements to be considered. scanning calculator (Back to top) Resolution
**1. Scaling factor