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- W2015359263 abstract "Hyperspectral images are acquired incrementally in a “push-broom” fashion by on-board sensors. Since these images are highly voluminous, buffering an entire image before compression requires a large buffer and causes latency. Incremental compression schemes work on small chunks of raw data as soon as they are acquired and help reduce buffer memory requirements. However, incremental processing leads to large variations in quality across the reconstructed image. The solution to this problem lies in using carefully designed rate control algorithms. We propose two such “leaky bucket” rate control algorithms that can be employed when incrementally compressing hyperspectral images using the JPEG2000 compression engine. They are the Multi-Layer Sliding Window Rate Controller (M-SWRC) and the Multi-Layer Extended Sliding Window Rate Controller (M-EWRC). Both schemes perform rate control using the fine granularity afforded by JPEG2000 bitstreams. The proposed algorithms have low memory requirements since they buffer compressed bitstreams rather than raw image data. Our schemes enable SNR scalability through the use of quality layers in the codestream and produce JPEG2000 compliant multi-layer codestreams at a fraction of the memory used by conventional schemes. Experiments show that the proposed schemes provide significant reduction in quality variation with no loss in mean overall PSNR performance." @default.
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- W2015359263 date "2005-03-14" @default.
- W2015359263 modified "2023-09-27" @default.
- W2015359263 title "Reduced memory multi-layer multi-component rate allocation for JPEG2000" @default.
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- W2015359263 doi "https://doi.org/10.1117/12.584776" @default.
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