JP2 is a bitmap image format. The JP2 format, i.e. JPEG 2000 image, was developed by the Joint Photographic Experts Group. The JP2 file can be in the form of a photograph, drawing, digital fax, etc. File type: JPEG 2000 Core Image File. JPEG 2000 is the patent-pending bitmap image format. It has been licensed free of charge, and now it is an international standard (ISO / IEC 15444-1: 2004). Compared to the previous JPEG-1 standard, JPEG 2000 uses a completely different method to compress data (wavelet transform, wavelet transform). This method generally ensures higher image quality. It also gives a more compact file size. The JP2 format has a lot in common with the JPEG format, which is now especially popular. However, it differs in that it uses wavelet transform technology for compression, and discrete cosine transform has found application in JPEG. Using the first technology, you can get a better image, even when the file size is relatively smaller. There are also JP2 files with the extensions .J2K, JPF, MJ2, JPX and JPM. In order to open a file of this format, that is, to edit, use programs such as Mozilla Firefox, Adobe Photoshop, ACD Systems ACDSee, Google Chrome.
JPE is the graphic format of the raster image category. It was developed by the standards committee of the Joint Photographic Experts Group. It is a 24-bit compressed graphics format. Typically, it is used for web resources. In most cases, it is used for photographs or images in which there are many colors. Also well suited for many digital cameras to store digital photos. Images that have this extension use lossy compression. And because the quality of individual photos is getting worse. The greater the compression, the less quality the image becomes. The purpose of JPE files is to compress photorealistic images with small color losses. Provides the ability to achieve high compression ratios. We emphasize that usually the maximum compression of graphic information leads to some loss of information. That is, the compression algorithm changes the original data so that the image that is obtained after restoration will be different from the original image, that is, compressed. This compression method is used to work with full-color images that have high photographic quality. During compression, the Discrete-Cosine Transform (DCT), Huffman’s Code quantization and coding are used.