Computation of cyclic redundancy checks via table look-up
Communications of the ACM
Generalized Algorithm-Based Fault Tolerance: Error Correction via Kalman Estimation
IEEE Transactions on Computers
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
A Tutorial on CRC Computations
IEEE Micro
DECOMPRESSION OF CORRUPT JPEG2000 CODESTREAMS
DCC '03 Proceedings of the Conference on Data Compression
Concurrent Error Detection in Wavelet Lifting Transforms
IEEE Transactions on Computers
Susceptibility of Commodity Systems and Software to Memory Soft Errors
IEEE Transactions on Computers
Characterization of Soft Errors Caused by Single Event Upsets in CMOS Processes
IEEE Transactions on Dependable and Secure Computing
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
Analysis and architecture design of block-coding engine for EBCOT in JPEG 2000
IEEE Transactions on Circuits and Systems for Video Technology
Power-efficient error-resiliency for H.264/AVC context-adaptive variable length coding
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
| Hi-index | 0.00 |
The JPEG 2000 image compression standard is designed for a broad range of data compression applications. The new standard is based on wavelet technology and layered coding in order to provide a rich feature compressed image stream. The implementations of the JPEG 2000 codec are susceptible to computer-induced soft errors. One situation requiring fault tolerance is remote-sensing satellites, where high energy particles and radiation produce single event upsets corrupting the highly susceptible data compression operations. This paper develops fault tolerance error-detecting capabilities for the major subsysyems that constitute a JPEG 2000 standard. The nature of the subsystem dictates the realistic fault model where some parts have numerical error impacts whereas others are properly modeled using bit-level variables. The critical operations of subunits such as Discrete Wavelet Transform (DWT) and quantization are protected against numerical errors. Concurrent error detection techniques are applied to accommodate the data type and numerical operations in each processing unit. On the other hand, the Embedded Block Coding with Optimal Truncation (EBCOT) system and the bitstream formation unit are protected against soft-error effects using binary decision variables and cyclic redundancy check (CRC) parity values, respectively. The techniques achieve excellent error-detecting capability at only a slight increase in complexity. The design strategies have been tested using Matlab programs and simulation results are presented.