| This thesis is intended to define and study different image compression techniques,software programs, image formats (from early ones such as “GIF” to most recent ones such as “JPEG 2000”), compression effect on compressed data (compressed images), and its effectiveness and usefulness in reducing the file size and its transmission time, as a result.
In many GeoBioPhysical applications, some information inside any image may be the keys to solve different kinds of problems and classify features. This kind of data and information has to be handled with care; i.e. it’s not allowed to be lost during the
compression process. On the other hand, dealing with images is more flexible in regular applications such as images used as pictures for simple purposes such as e-mails.
An un-compressed aerial image (DOQQ) of Huntington, WV. (with “.Tiff” extension)was used as the original file. It was compressed using different techniques and software programs. The results were studied and attached to each image. The resulting file size of each image was used to perform some comparisons between different software programs that were also used, trying to find the effectiveness of each technique and software from the quality to file size ratio point of view. Some previous work and research from different references was also studied and discussed to show the differences and the similarities between this work and previous ones.
One of the goals of this study is to find the software program(s) and the compression type(s) those give the best quality to file size ratio, and the ones that work best for GeoBioPhysical studies.
The results show that dealing with different types of imagery is sensitive and depends strongly on the application; the user has to know what he is doing. The user has to use the proper input imagery and compress them to the proper limits to get best results.
The results of this study show that JPEG2000 software programs (such as LuraWave) are very good and effective choices. JPEG2000 and ECW are likely to be extensively used in the near future for imagery and internet usage