TIFF is a format that allows you to store raster graphics with tags. It was developed by Aldus Corporation in conjunction with Microsoft so that it can be used with PostScript. Aldus Corporation owns specifications. Subsequently, this company merged with Adobe Systems. It is she who now owns the copyright to these specifications. Typically, TIFF files (Tagged Image File Format) are with the extension .tiff or .tif. Aldus was specifically engaged in the development of the format in order to achieve the preservation of scanned images. The popularity of TIFF can be explained by the fact that it is preferred in order to store images that have a large color depth. The format is used to send faxes, scan, recognize texts. It is widely supported in the printing industry. TIFF was chosen as the main graphic format of the NeXTSTEP operating system. Then from this system TIFF support migrated to Mac OS X. At first, the format supported lossless compression. Then it was supplemented in order to support lossy compression in JPEG format. We emphasize that the maximum weight of a document, if stored in this form, is no more than 4 GB. To open a TIFF file larger than 2 GB, you must run Photoshop CS.
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.