Advanced Hybrid Algorithms for High-Efficiency Image Compression in Satellite and Drone Systems

In satellite and drone imaging, a huge amount of data is generated; therefore, image compression should be done efficiently. This hybrid algorithm document deals with Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), and Singular Value Decomposition (SVD) based approaches for effective image compression with quality preservation. The proposed approach will be suitable for satellite and drone images since it reduces the cost of storage and transmission. The simulations demonstrate that, for the same amount of distortion, the algorithm outperforms state-of-the-art algorithms by as much as above 48% in compression ratio or up to ten times in processing speed. This is enabled by the effective combination of strengths between lossy and lossless techniques in solving some unique challenges about satellite and drone systems, including limited resources and real-time processing. Therefore, this may be an effective means of boosting image compression in remote sensing.