首页> 外文期刊>International Journal of Data Envelopment Analysis and *Operations Research* >Mathematics Behind Image Compression: An Experiment of Mean Compression of Various Sizes and Their Relative Compression Ratio of NASA Images
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Mathematics Behind Image Compression: An Experiment of Mean Compression of Various Sizes and Their Relative Compression Ratio of NASA Images

机译:图像压缩背后的数学:各种尺寸的平均压缩及其NASA图像相对压缩率的实验

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A study of the fundamentals of image compression was conducted in correspondence with NASA (National Aeronautics and Space Administration). NASA uses images to reveal information, data, and evidence concerning astronomical research. For this reason each NASA image must have the best quality and adequate dimensions. The purpose of this project was to compare the compression ratios resulting from compression by three variations of pixel matrices, and to understand the difference between arithmetic mean and geometric mean compression methods. For this task, a total of 50 planetary images were selected from the NASA website. With the aid of the Mathematica software, the team created a program to compress the images. The team then recorded the findings from the experiment in the form of graphs; visual representation helped to understand the produced trends. The source code for the program is attached in the appendix. This code can be used by anyone who wish to perform and/or repeat the research for a classroom activity or a short project. .
机译:与NASA(美国国家航空航天局)合作对图像压缩的基本原理进行了研究。 NASA使用图像来揭示有关天文学研究的信息,数据和证据。因此,每个NASA图像都必须具有最佳的质量和足够的尺寸。该项目的目的是比较像素矩阵的三种变体压缩产生的压缩率,并了解算术平均和几何平均压缩方法之间的差异。为此,从NASA网站上总共选择了50张行星图像。在Mathematica软件的帮助下,该团队创建了一个压缩图像的程序。然后,研究小组以图表的形式记录了实验结果。视觉表示有助于理解产生的趋势。该程序的源代码附在附录中。希望为课堂活动或短期项目进行和/或重复研究的任何人都可以使用此代码。 。

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