What is lossy compression?
Loss of compression is a type of data compression in which real information is lost. This means that after reconstruction of data from available information, one ends with something less than the original file. In general, the aim is to use loss compression so that there is no excessive loss in the final product, while the file size is extremely saved compared to lossless compression. This kind of compression rarely saves a lot of space, but is ideal for transporting huge files by breaking them into easier monitored pieces. Lossless compression is used when every piece of data is needed in the final product, often when transferring a file to a designer. In the case of images, the designer allows you to make sure that there will be any data that may want to change and let them create the final product before Coming of the file by loss -up compression. This also applies to audio files where the sound mixer may need more information such as separate channels that KONC user will not require.
The easiest way to understand loss of compression is an example, for example, what happens when you copy a raw data file from a digital camera to your computer. This raw file can be up to 30 MB and include various color channel data, information about how the shot was taken, and a wide range of data for each individual pixel. The presence of all this information in lossless format means that if you import them into a photo editing program with the right abilities, all these things can be adjusted. This also means that color loyalty for each pixel is as high as it can be.
At some point, however, you will probably want to do something other than edit photography. You may want to send a friend with e -mail or upload it to an online site. You simply want to archive it and another hundred pictures, on your computer and in30 MB size, each hundred pictures would occupy a full 3 GB of space. To deal with this, you compress the photo. Some forms of lossless compression could be able to reduce the size of the file a little bit without losing any loyalty to photos, but eventually ending up with huge pictures.
6 Use one of these compression techniques to take over the algorithm to check over your photo and come to the shortcuts to describe it to the computer. Colors that are largely the same are the same, which significantly reduces file size and often loses anything that the human eye can perceive.At extremely high levels, 30 MB can be compressed up to about 3 MB and still seems almost identical to the human eye. The same applies to other loss models of compression, such as MP3 for sound or WMV for video. Of course, if file sizes are too reduced, shortcuts are winding and create the resulting image, audio file or video, slightly different from origiThe final and final result is noticeably lower quality.