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MAGE INTRODUCTION


Compressing an image is significantly different than compressing raw binary data. Of course, general purpose compression programs can be used to compress images, but the result is less than optimal. This is because images have certain statistical properties which can be exploited by encoders specifically designed for them. Also, some of the finer details in the image can be sacrificed for the sake of saving a little more bandwidth or storage space. This also means that lossy compression techniques can be used in this area.

Lossless compression involves with compressing data which, when decompressed, will be an exact replica of the original data. This is the case when binary data such as executables, documents etc. are compressed. They need to be exactly reproduced when decompressed. On the other hand, images (and music too) need not be reproduced 'exactly'. An approximation of the original image is enough for most purposes, as long as the error between the original and the compressed image is tolerable.

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There are two ways in which to view the still images in the galley:

You can remain on this page and click the arrow buttons below the image on this page. This will take you on a circular tour of the images which will be shown in the order they were contributed to the gallery.

You can click the Catalogue link on the left or the Catalogue button below the images. This will bring up a page with thumbnails of the images available in the gallery, clicking on the thumbnail loads the image. You can also continue the circular tour by clicking the previous or next buttons below the image on the page.

An introduction to satellite image interpretation


Eric D. Conway and the Maryland Space Grant Consortium present a fascinating introduction to the interpretation of satellite imagery, a technology of increasing importance for a wide variety of scientific applications. Prepared in association with the National Oceanic and Atmospheric Administration (NOAA), this extensively illustrated text and accompanying CD-ROM offer a thorough overview of the use of satellite technology in Earth and planetary science, weather forecasting, and environmental research.

Colour Representation


A quick look at how colour is represented on a computer. The two most commonly used representations are 8-bit greyscale and 24-bit colour. 8-bit greyscale contains 256 shades of grey (28 = 256) with 0 normally denoting black and 255 denoting white, with other values representing intermediate shades of grey. 24-bit colour is simply stored as 3-bytes denoting the red, green and blue components of the colour:

Introduction: The Importance of a Positive Self Image

Have you ever heard the saying "only you can make yourself happy"? Well, as trite as it seems, it may be true. A surprising survey of adults by the American Psychological Association has shown that the most important factor to happiness and well-being is self-esteem. Also important were feelings of independence and competency, often brought about by high self-esteem. Surprisingly, common traits like popularity, power, money or luxury were rated the lowest.

Having a positive self-image can be difficult, especially if one is affected by life's hardships, such as a disability, poor health, or financial or other major problems. But there are things you can do to improve your self-image and self-esteem. These things can, in turn, improve other aspects of your life like academic or financial success, relationships, and even health.===