So far we have entered into a select few Technology Partnerships with the following elite companies for the following technology:
The challenge is that camera’s can’t properly capture purples and greens. Try pointing your digital camera at a Fedex box, or a purple bride-maid’s dress and notice how they appear blue in the viewfinder of the camera!
When this calibration methodology, called Full Spectrum RGB, is encoded in software it automatically re-maps the limited color spectrum from your photo (as recorded by your camera) back into what was seen by the human eye.
This remapping is the rigor required for Real Color.
The algorithm includes modules of noise detection, noise analysis and noise filtration which are statistically trained to provide optimal balance between photo noise reduction and preservation of image details. Unlike other noise removal algorithms that blur photos after removing noise, the Stoik algorithm is unique in preserving the crisp details.
The noise in digital photos is reduced by 2 - 3 stops, so that the noise level of the photo shot at ISO 1600 is effectively reduced to ISO 200 - 400 levels.
Stoik has specifically fine-tuned the noise removal solution for cameraphone images. Today’s smartphones joined the megapixel race of recent years. Cramping dozens of megapixels into tiny sensors pushes pixel density to levels unseen before. The result of this race is very high digital noise that plagues pictures taken even at bright light.
Needless to say, the noise is there even in bright daylight.
While latest smartphones come equipped with multi-megapixel chips, the physical size of the chip itself is significantly smaller than those found in dedicated digital cameras. As a result, each individual pixel sees less light and registers a lesser number of photons. In turn, this causes high levels of digital noise compared to dedicated digital cameras even in well-lit conditions.
The Stoik noise removal technology provides smooth low-light, high-ISO performance by offering fully automated zone-based noise detection, analysis, and removal. The product employs sophisticated adaptive algorithms, innovative image representation, and optimal statistical methods to achieve the outstanding noise reduction results without sacrificing image detail.