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image would certainly yield inferior results, but to the human eye it is perfectly acceptable. Of course, the degree of loss that occurs during a JPEG transformation can be controlled by adjusting a variety of compression parameters relative to each other. For example, file size and image quality can be adjusted relative to one another. A medical image, which requires extremely high quality on the image output side, would require a large file size, while a compressed text document could easily suffer significant loss without losing readability, resulting in a very small file. The hardware or software coders that create (compress) and expand (decompress) JPEG images are called CODECs. If high image quality is not critically important, a low cost, higher loss CODEC can be used, thus reducing the overall cost of the deployed hardware or software solution. JPEG is used as a compression tool for two primary reasons: to reduce file sizes for transmission or archival storage and to archive 24-bit color images instead of eight-bit color images. Clearly, the ability to reduce the number of bytes required to store an image is an advantage. It reduces the cost of networking by reducing the amount of connect time required to transmit an image across a network and lowers IT costs by reducing the amount of disk space required to store the image. JPEG can easily achieve compression ratios in excess of 20:1, meaning that a 2 MB file becomes a 100 KB entity following JPEG compression. The second fundamental advantage of JPEG is that it stores full, 24bit color information. GIF, the other image format that is widely used on the Web (discussed later), stores eight bits/pixel 256-bit color. GIF is designed for inexpensive computer displays. However, high-end display units are becoming quite cost-effective, and JPEG photos are far richer than GIF images when displayed on lower-cost displays. For this reason, GIF is seen by many as becoming obsolete. The truth is, however, that JPEG will not completely replace GIF because for certain forms of images GIG continues to be a superior solution. For the most part, JPEG is better than GIF for storing full-color or gray-scale images of natural scenes such as scanned photographs and continuous-tone artwork. Any smooth variation in color, such as that which occurs in the highlighted or shaded areas of a subtle image, will be represented far more faithfully and in less space by JPEG. On the other hand, GIF does a better job on images with only a few distinct colors such as sketches, maps, line drawings, and cartoons. Not only is GIF considered lossless for these images, it often achieves compression ratios far higher than JPEG can achieve. For example, large numbers of clustered pixels that are the same color are compressed very
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efficiently by GIF. However, JPEG has a hard time compressing such data without introducing visible defects. Computer images, such as vector drawings or ray-traced graphics, are typically somewhere between photographs and line drawings in terms of their complexity in the eyes of the compression algorithm. The more complex the image, the more likely JPEG will be able to achieve significant levels of compression of the image. This is equally true with natural artwork. On the other hand, icons made up of only a few colors are better handled by GIF. JPEG has difficulty achieving satisfactory compression with long, sharp edges. For example, if the image to be compressed has a row of black pixels immediately adjacent to a row of white pixels, the edges will often appear blurred unless a very high-quality setting is used which, of course, reduces the degree of compression that JPEG will attempt to achieve. The good news is that such long, sharp edges are relatively uncommon in scanned photographs but are common in GIF files. Remember, straight lines are rare in nature, the subject of most photographs. They are quite common, however, in line drawings and illustrations. As a result, GIF is typically a better choice for compression of these image types. As a general rule, two-level black-and-white images should not be converted to JPEG because they (by their very nature) violate the conditions listed previously. Gray-scale images that have 16 gray levels are far more acceptable to JPEG. However, GIF is considered to be a lossless encoding scheme for images of up to 256 levels, while JPEG continues to be lossy. How JPEG Works The actual mechanical and mathematical processes that govern JPEG s inner workings are quite complex and will not be covered in detail here. Readers interested in more detail are directed to read the tutorial information that can be found at www.dcs.ed.ac.uk/home/mxr/gfx/2d/JPEG.txt. However, a high-level description of the process follows. Earlier, we discussed the fact that a 640x480 pixel image requires nearly a full megabyte of disk space for uncompressed storage. To reduce that requirement, JPEG performs a mathematical permutation of the image that removes redundant information contained in the image, thus reducing storage requirements for the image. This results in loss of information and, while this appears to be a bad thing, it really isn t because of the limitations of the human eye described earlier. Consider the image of my son Steve shown in Figure 2-20. Using a high-quality digital still camera, I took this portrait of him. I then
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Downloaded from Digital Engineering Library @ McGraw-Hill (www.digitalengineeringlibrary.com) Copyright 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website.
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