Parallel KMeans-based image quantization compressor that reduces the number of colors in an image while preserving visual quality. It uses KMeans clustering for color quantization and supports sequential, OpenMP, MPI, and CUDA implementations for performance and scalability. PoliMi - Advanced Methods for Scientific Computing (2023-2024)
opencv performance compression clustering boost colors scalability openmp mpi parallel-computing cuda kmeans kmeans-clustering polimi lossy-compression parallel-programming odette image-quantization sl-train
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Updated
Mar 21, 2025 - C++