Abstract: Methods and apparatus for enhancing optical images and parametric databases are disclosed. In an exemplary embodiment, a method includes identifying an image and deconstructing the image into a frequency-based spatial domain representation utilizing a pyramidal data structure including a plurality of levels on a frequency-by-frequency basis. The method also includes modifying the frequency-based spatial domain representation to generate a modified frequency-based spatial domain representation, reconstructing an enhanced image from the modified frequency-based spatial domain representation, and returning the enhanced image. In an exemplary embodiment, an apparatus includes a deconstructor that deconstructs an image into a frequency-based spatial domain representation utilizing a pyramidal data structure including a plurality of levels on a frequency-by-frequency basis and a modifier that modifies the frequency-based spatial domain representation to generate a modified representation.

Abstract: Methods and apparatus for enhancing optical images and parametric databases are disclosed. In an exemplary embodiment, a method includes identifying a parametric database having one or more dimensions of varying parameter values, and enhancing the parametric database utilizing a pyramid data structure that includes a plurality of pyramid levels as an input to and output from the frequency blender. Each of the plurality of levels of the pyramid data structure includes an instance of the parametric database having a unique parameter sampling resolution, a frequency isolation representation at that resolution, and a frequency blended representation of the parametric database at that resolution. The method also includes utilizing a frequency blender and auto throttle to perform the blending of a plurality of levels, and returning the enhanced parametric database.

Abstract: Methods and apparatus for enhancing optical images and parametric databases are disclosed. In an exemplary embodiment, a method includes identifying an image and deconstructing the image into a frequency-based spatial domain representation utilizing a pyramidal data structure including a plurality of levels on a frequency-by-frequency basis. The method also includes modifying the frequency-based spatial domain representation to generate a modified frequency-based spatial domain representation, reconstructing an enhanced image from the modified frequency-based spatial domain representation, and returning the enhanced image. In an exemplary embodiment, an apparatus includes a deconstructor that deconstructs an image into a frequency-based spatial domain representation utilizing a pyramidal data structure including a plurality of levels on a frequency-by-frequency basis and a modifier that modifies the frequency-based spatial domain representation to generate a modified representation.

Abstract: Methods and apparatus for enhancing optical images and parametric databases are disclosed. In an exemplary embodiment, a method includes identifying an image and deconstructing the image into a frequency-based spatial domain representation utilizing a pyramidal data structure including a plurality of levels on a frequency-by-frequency basis. The method also includes modifying the frequency-based spatial domain representation to generate a modified frequency-based spatial domain representation, reconstructing an enhanced image from the modified frequency-based spatial domain representation, and returning the enhanced image. In an exemplary embodiment, an apparatus includes a deconstructor that deconstructs an image into a frequency-based spatial domain representation utilizing a pyramidal data structure including a plurality of levels on a frequency-by-frequency basis and a modifier that modifies the frequency-based spatial domain representation to generate a modified representation.

Abstract: Methods and apparatus for enhancing optical images and parametric databases are disclosed. In an exemplary embodiment, a method includes identifying a parametric database having one or more dimensions of varying parameter values, and enhancing the parametric database utilizing a pyramid data structure that includes a plurality of pyramid levels as an input to and output from the frequency blender. Each of the plurality of levels of the pyramid data structure includes an instance of the parametric database having a unique parameter sampling resolution, a frequency isolation representation at that resolution, and a frequency blended representation of the parametric database at that resolution. The method also includes utilizing a frequency blender and auto throttle to perform the blending of a plurality of levels, and returning the enhanced parametric database.

Abstract: Methods and apparatus for enhancing optical images and parametric databases are disclosed. In an exemplary embodiment, a method includes identifying an image and deconstructing the image into a frequency-based spatial domain representation utilizing a pyramidal data structure including a plurality of levels on a frequency-by-frequency basis. The method also includes modifying the frequency-based spatial domain representation to generate a modified frequency-based spatial domain representation, reconstructing an enhanced image from the modified frequency-based spatial domain representation, and returning the enhanced image. In an exemplary embodiment, an apparatus includes a deconstructor that deconstructs an image into a frequency-based spatial domain representation utilizing a pyramidal data structure including a plurality of levels on a frequency-by-frequency basis and a modifier that modifies the frequency-based spatial domain representation to generate a modified representation.

Abstract: A system, method, and computer program product are provided for enhancing an image utilizing a hyper-clarity transform. In use, an image is identified. Additionally, the identified image is enhanced, utilizing a hyper-clarity transform. Further, the enhanced image is returned.

Abstract: A system, method, and computer program product are provided for enhancing an image utilizing a hyper-clarity transform. In use, an image is identified. Additionally, the identified image is enhanced, utilizing a hyper-clarity transform. Further, the enhanced image is returned.