Reconfigurable, fully scalable integer wavelet transform unit for JPEG2000
Bibliographic record
Abstract
The new still compression image standard, JPEG2000, has emerged with a number of significant features that would allow it to be used efficiently over a wide variety of images. The scalability of this new standard allows trading off between compression rate and quality of image. Due to the multi-resolution nature of wavelet transforms, they have been adopted by the JPEG2000 standard as the transform of choice. In this work, we present an implementation for a re configurable fully scalable integer wavelet transform (IWT) unit that satisfies the specifications of the JPEG2000 standard. The implementation is based on the lifting scheme, which is the most computation efficient implementation of the discrete wavelet transform. Integer wavelet transforms, also known as reversible DWT, have recently received special interest due to a number of significant properties in terms of computational efficiency and storage requirements. The lifting scheme-based integer wavelet transform (IWT) unit was implemented in field programmable gate arrays (FPGAs), namely the Xilinx Vertix II family. The design is scalable in order to allow a trade off between rate and distortion. A maximum clock frequency of 112 MHz, with throughput of over 400 pixels/s, was achieved by employing techniques such as parallel operation of independent units and pipelining. A speed up of over 61 times has been achieved versus a Matlab compiled C code implementation on a Pentium IV 1.8 GHZ processor
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".