The Pixon Method is the enabling technology underlying all of Pixon's advanced image processing solutions. The technology enhances digital images and video by:

• Increasing Sharpness
  As a result of the basic physics of image formation even perfect imaging instruments yield output that is a blurred version of reality. Sometimes additional effects resulting from design compromises or atmospheric turbulence introduce further blurring. The Pixon Method is a computational technique for recovering information lost as a consequence of these effects. Under even modest conditions, recovery of detail 3 to 4 times finer than is available in the raw data is possible. Alternatively, performance equivalent to that obtained with raw data may be achieved with smaller less-expensive imaging instruments or with the same instruments at greater object distances. Pixon solutions offer entirely new options for total system design and performance.
• Suppressing Noise
  Another unavoidable corruption of image quality is noise. The Pixon Method uses rigorous mathematical tests in order to computationally distinguish meaningless noise from meaningful information. The result is that image features and subtle gradations 10 or even 100 times weaker than would otherwise be detectable are brought into view.
• Enhancing Contrast
  Image contrast is already increased with improved sharpness and reduced noise but Pixon's hardware solutions go one step further by offering an additional mode for control of contrast. Developed by DigiVision, Inc., Pixon's strategic partner in real-time video products, spatially adaptive contrast enhancement has been combined with Pixon's deblurring and denoising functions to enable further delineation of detail and extraction of features from video scenes. The combined system is especially effective in scenes afflicted with haze, fog, glare or shadows.
• Analyzing Complex Data
  Pixon has generalized the Pixon method beyond imaging to include the modeling of complex algebraic systems. At the heart of this technique, known as the Algebron method, is a robust determination of the covariance matrix of a large number of potentially poorly sampled variables. This covariance matrix can then be used in a variety of applications, such as risk management and forecasting based on historical data. The robustness of the covariance matrix ensures that conclusions drawn from it are the most secure ones that can be determined from the input data at hand.

Pixon offers general-purpose as well as dedicated and custom solutions tailored to specific customer needs and applications:

• Pixon Software
  Pixon Software is a suite of flexible interactive tools that implement the Pixon Method either as a general image-processing application on a stand-alone workstation or as a specialized solution for integration with specific imaging or video systems.
• PixonVision Hardware
  PixonVision is a hardware implementation of the Pixon Method that is designed for real-time processing of images and video.
• Algebron Method
  The Algebron Method is a technique parallel to the Pixon Method that systematically analyzes historical data in order to predict future outcomes. It can be used to mitigate risk in decision making, identify correlations among data and outcomes, and make predictions.
• Customized Solutions
  Pixon's deep experience in both theoretical and applied imaging science makes the development of custom solutions for new applications a natural segment of our business. We can analyze raw data, identify trouble spots, recommend instrumental modifications, and develop an image-processing solution that offers the end user the theoretical ultimate in imaging performance.