JPS is a bitmap category category format. Its developer is the Joint Photographic Experts Group. A raster stereoscopic JPEG image is stored in a file with a .jps extension. It is this image that is used to create 3D effects from a 2D image. In order to obtain a stereoscopic effect, apply a pair of static images of the same size for the right and left eye. They are nearby. Stored as a single image. Differ from each other, but slightly. They, in particular, have a slightly changed perspective. There are other effects. In other words, this is a pair of copies of the same image. Moreover, each of them is slightly different. Including a different angle. Images with the .jps extension are made and stored using a stereo camera, which should have at least two lenses. Such an image is viewed in several ways. Say, using special devices that provide the opportunity for each eye to see its picture. Hence the effect of volumetric image. In particular, when you overlay pictures on top of each other, then you take 3D glasses. JPS files can also be viewed using programs that can convert a pair of 2D images into one 3D image.
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.