"The new speed improvements are incredible. They make my favorite enlargement program so much more useful." - Kevin Ebi, WA
(PRWEB) August 01, 2013
Watford, UK: FixerLabs are pleased to announce the release of SizeFixer XL V2 for Windows that is a major step forward in terms of speed of processing and the quality of the upsized photographs it produces.
SizeFixer XL V2 benefits from a major re-write by FixerLabs of its core super-resolution deconvolution engine. It is now typically 10 times faster than version one because the upsizing engine exploits the multiple cores, hyper-threading and vector-processing of the latest desktop processors.
Quality of results is paramount to FixerLabs and is further improved in SizeFixer XL V2 by the engine re-write. The improved micro-contrast gives the highest possible quality for larger prints.
"SizeFixer has always been my go-to choice for quality enlargements where detail in the finished product is absolutely critical. The new speed improvements are incredible. They make my favorite enlargement program so much more useful."
-Kevin Ebi, WA
A comparison of SizeFixer XL V2 with other upsizing solutions is available from their website, http://www.fixerlabs.com/EN/upsize/sizefixer.htm. FixerLabs encourages others to compare their current upsizing solution against SizeFixer XL V2.
“SizeFixer XL V2 is now incredibly fast and stable,” said Tim Atherton, FixerLabs’ Technical Director, “we have addressed all the issues raised in user-feedback to ensure it delivers the best possible results for professional and fine-art photographers”.
Pricing and Availability:
SizeFixer XL V2 for Windows is available now priced at $199.95 with an upgrade price of $99.98 for existing SizeFixer customers. There is a free 30-day trial that is fully functional.
FixerLabs was founded in 2003 with the aim of transferring research technology into innovative products for digital photographers. FixerLabs has a history of industry milestones, deconvolution, LensFIT technology and blind deconvolution in FocusFixer and super-resolution deconvolution in SizeFixer.