Video Compression Using Matlab

Video compression is the main topic of this research. HD quality videos with smaller sizes are required for video calls, conferences, and transmission. We can get better video compression by implementing the suggested strategy. A successful low-memory solution must be offered in order to implement the SPIHT algorithm. The sorting and refining stages are merged into a single scan run in this updated technique. In order to alter the original SPIHT algorithm, we introduce two new ideas: the number of mistake bits and the absolute zero tree. This study looks at the coding method for compressing medical videos. By successfully reducing spatial redundancy, the proposed method has the advantage of enhancing the visual quality of the video coding. To facilitate the efficient identification of the different complex geometries seen in movies, the bandelet transform also referred to as a non-separable transform is first studied. After describing the lifting operation in the bandelet transform, we decreased the artifactual influence caused by the quad-tree decomposition stage, improving the visual quality of the medical video series. Finally, the efficiency of the proposed technique is tested and evaluated on medical footage using a set of objective measurement parameters.