Compression of High – Resolution Medical and Space Color Video using Butterworth Filter

Due to improvements in camera sensors, high-resolution videos are easily available nowadays and are widely used in many applications. The main advantage of using high-resolution videos is that due to the presence of large information, they are suitable for analytical applications. But due to the presence of large information, proper storage of high-resolution videos is a challenging task. For optimization of storage space, the video must be compressed for further processing. However, compression of video claims loss of information which may not be acceptable in some applications. In this paper, we propose a novel idea of video compression with minimum loss of information. Primarily the selected video is split into multiple frames. Butterworth filtering with a suitable cut-off value is applied in each frame. To check the quality of the output frames, Peak Signal to Noise Ratio (PSNR), and correlation coefficients are used. The entire research work is performed in Python. Result proves the effectiveness of our proposed method.