| Abstrakt: |
Compression methods for images and videos are essential for the effective archiving, transmission, and distribution of multimedia data and files. This paper reviews the state-of-the-art in image and video compression, including the most recent developments, algorithms, and methods. This study compiles findings from a variety of studies in an effort to give readers a bird's-eye view of the progress and obstacles in this dynamic sector. A survey of the relevant literature demonstrates that modern compression methods build upon the work of older algorithms like JPEG and MPEG. Compression ratios and picture quality can be enhanced, however, thanks to developments in transform coding, predictive coding, and entropy coding. Further, by combining machine learning and deep learning techniques, we now have access to cutting-edge options for improving compression efficiency and paving the way for adaptive, content-aware compression. Sustainable compression approaches are also highlighted, along with energy efficiency aspects. [ABSTRACT FROM AUTHOR] |
