Towards Guaranteeing Error Bound in DCT-based Lossy Compression
Author:
Affiliation:
1. University of Massachusetts Lowell,Lowell,MA
2. ETRI,Daegu,Korea
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020345.pdf?arnumber=10020345
Reference28 articles.
1. Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data
2. Fixed-Rate Compressed Floating-Point Arrays
3. Bit-Error Aware Quantization for DCT-based Lossy Compression
4. Efficient Encoding and Reconstruction of HPC Datasets for Checkpoint/Restart
5. Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization
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1. A Novel Low-Complexity and Parallel Algorithm for DCT IV Transform and Its GPU Implementation;Applied Sciences;2024-08-24
2. PSNR-Aware Quantization for DCT-based Lossy Compression;2023 IEEE International Conference on Big Data (BigData);2023-12-15
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