Clean-up of Universe Nets Imaging Award

Quarktet's blind deconvolution algorithm, SeDDaRA, has been named as one of Advanced Imaging Magazine's Solutions of the Year! The solution won by unanimous decision for the removal of blur from an image of the microwave background radiation of the universe.

Melville, NY (PRWEB) February 15, 2004 --Advanced Imaging magazine, a publication of Cygnus Business Media, has announced the results of its 2004 Imaging Solutions of the Year contest. The competition, held annually, asks developers, vendors, integrators, VARs, public relations firms and end-users to nominate sites whose solutions they feel merit special industry attention for their practical handling of digital imaging and image processing challenges. To that end, nominators sent in the imaging challenges they wished to submit, outlining the solutions to those challenges, the imaging tools used and the differences they made to the industry.

This year, four winners and four runners-up were chosen from the many impressive entries received, while a ninth nominee was chosen as the industrys Imagers of the Year. Those chosen will be honored in the January 2004 edition of Advanced Imaging. Among the recipients is Quarktet of Silver Spring, Maryland, whose solution to the imaging challenge of Removal of Blur from Full-sky Image of Universe Background Radiation was chosen as a Winner in the Software Category. This award is well deserved, as the technology will benefit many throughout the electronic imaging industry.

Quarktet applied the newly discovered Self-Deconvolving Data Reconstruction Algorithm, or SeDDaRA to a recent image of the background radiation of the universe with great success. SeDDaRA is a blind deconvolution method that can identify and remove blur from images without explicit knowledge of the shape of the blur function. SeDDaRA is unique when compared to current blind deconvolution methods in that it is non-iterative, producing a result much faster than other methods. It is also not constrained to optical images, allowing application to medical, one-dimensional and space-based applications.

The key is to find a reasonable representation of the spatial frequency content of the desired result. Quarktet compared the NASA WMAP background radiation image to a collection of fractal images to estimate the blur function, and used a pseudo-inverse filter to remove the blur from the image. As shown in images, both the resolution and contrast are greatly enhanced. The size of the image alone prohibits many types of image processing. We were able to restore the image in seconds" said Quarktet President James Caron.