Bijection mapping for compression/denoising of multi-frame images
US7224845B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 28, 2003 |
| Grant date | May 29, 2007 |
| Priority date | — |
| Expiry date | Jun 10, 2025 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/90
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A new approach to multispectral image compression where the intra- and cross-band correlations are jointly exploited in a surprisingly simple yet very effective manner. The key component of the algorithm is a bijection mapping of the original multispectral image into a virtual 2 dimensional scalar image. By optimally mapping the multispectral image set into a single 2 dimensional array and by subsequently applying a scalar image coding algorithm, the spatial correlation and the spectral correlation of the multispectral data set are jointly exploited. Based on the statistical characteristics of the multispectral data, the bijection mapping can be optimized to minimize the distortion introduced by the compression algorithm. The optimization reduces to the maximization of a function of the second-order statistics of the multispectral data. At high compression rates, the new algorithm outperforms traditional compression algorithms whenever the cross-band correlation is high and it yields comparable performance at low compression rates.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.