Since their introduction the Trasformer architectures emerged as dominating for both natural language processing and, more recently, computer vision applications. An intrinsic limitation of this family "fully-attentive" arises from computation dot-product attention, which grows in memory consumption and number operations $O(n^2)$ where $n$ stands input sequence length, thus limiting application...

This Paper Focus On Image Compression.It is used specially for the compression of images where tolerable degradation is required. With the wide use of computers and consequently need for large scale storage and transmission of data, efficient ways of storing of data have become necessary. Image compression is minimizing the size in bytes of a graphics file without degrading the quality of the i...