This is how pictures work on computers. 
Computers use a special way to save photos. 


Computers use a special way to save digital photos. 
JPEG uses a way called lossy compression. This means it makes files much smaller by leaving some data out. 

This works using a math tool called the discrete cosine transform. We call this the DCT for short. 
Have you ever wondered how your phone saves so many photos? 


How does this shrinking work?
Scientists worked on these ideas long before JPEG was released. Nasir Ahmed first proposed the DCT as a way to compress images in 1972. He published this work with T. Natarajan and K. R. Rao in 1974. The Joint Photographic Experts Group was organized in 1986. They worked on the standard during the late 1980s. They finally published the JPEG standard in 1992. 
JPEG is a very important tool in our digital world. As of 2015, several billion JPEG images were produced every single day. It is the most widely used digital image format on Earth. Many different file formats use JPEG compression. One common version is JPEG/Exif, which digital cameras often use. Another version is JPEG/JFIF, which is common on the World Wide Web.
Think about how you send a message to a friend. 
JPEG is a widely used method for lossy compression of digital images. The name stands for the Joint Photographic Experts Group, which was the committee that created the standard. Compression is a way to make digital files smaller so they take up less storage space. JPEG uses lossy compression, which means it reduces file size by permanently removing some data. This creates a trade-off between the size of the file and the quality of the image. 
To understand how JPEG works, we must look at its mathematical engine. The core of the process is the discrete cosine transform, or DCT. The DCT is an algorithm that changes how image data is represented. 
There are different ways these compressed images are stored and used. One common version is JPEG/Exif, which is used by digital cameras and other photographic devices. Another version is JPEG/JFIF, which is the most common format for storing and sending images on the World Wide Web.
The history of JPEG is built upon decades of mathematical research. The DCT algorithm was first proposed by Nasir Ahmed in 1972. Ahmed published this technique in a 1974 paper alongside T. Natarajan and K. R. Rao. The Joint Photographic Experts Group was organized in 1986 to turn these ideas into a global standard. They worked on the standard throughout the late 1980s and finally published it in 1992. 
Since its release, JPEG has become the most dominant image standard in the world. It was a major reason why digital photos and images spread so quickly across the Internet and social media. The impact is massive; as of 2015, several billion JPEG images were produced every single day. Even though a successor called JPEG 2000 was introduced in 2000, it could not replace the original. The original standard remains the most widely used digital image format on Earth. 
However, the history of the format has not been without legal challenges. In 2002, a company called Forgent Networks claimed they owned rights to the technology through a patent from 1986. This caused a great deal of worry in the tech community. The JPEG committee investigated and believed the patent was invalid due to "prior art," which is existing evidence that an idea was already known. After several years of lawsuits involving many large companies, the U.S. Patent and Trademark Office found the patent invalid in 2006. Other companies, such as Global Patent Holdings and Princeton Digital Image Corporation, also brought legal claims regarding different patents.
Despite these legal battles, JPEG remains a fundamental part of our digital lives. It connects the science of mathematics to the way we share our daily lives online. By using the DCT to simplify complex visual data, JPEG allows us to transmit beautiful images instantly. It bridges the gap between high-quality photography and the limited storage of our devices. Without this technology, the massive amount of visual information on the modern web would be much harder to manage.
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