Computer architecture for emulating image mapping in a correlithm object processing system

A non-transitory computer-readable medium comprising logic for emulating image mapping in a correlithm object processing system, the logic, when executed by a processor, operable to:

• store a correlithm object mapping table that comprises a plurality of source image elements and a plurality of corresponding target correlithm objects, each of the plurality of source image elements comprising an n-pixel array of binary values, each of the plurality of corresponding target correlithm objects comprising an m-bit digital word of binary values;
• receive an input image element comprising an n-pixel array of binary values;
• determine n-dimensional distances between the input image element and each of the plurality of source image elements, wherein the determined n-dimensional distances are based on differences between the binary values representing the input image element and the binary values representing each source image element;
• identify a source image element with the closest determined n-dimensional distance to the input image element;
• determine a deviation between the input image element and the identified source image element based on the closest determined n-dimensional distance;
• determine whether the deviation is within a predetermined tolerance;
• in response to determining that the deviation is within the predetermined tolerance, identify a target correlithm object corresponding to the identified source image;
• determine a perturbation to be applied to the identified target correlithm object based on the determined deviation;
• and
• generate a perturbed correlithm object by applying the determined perturbation to the identified target correlithm object.

A method for emulating image mapping in a correlithm object processing system, comprising:

• storing a correlithm object mapping table that comprises a plurality of source image elements and a plurality of corresponding target correlithm objects, each of the plurality of source image elements comprising an n-pixel array of binary values, each of the plurality of corresponding target correlithm objects comprising an m-bit digital word of binary values;
• receiving an input image element comprising an n-pixel array of binary values;
• determining n-dimensional distances between the input image element and each of the plurality of source image elements, wherein the determined n-dimensional distances are based on differences between the binary values representing the input image element and the binary values representing each source image element;
• identifying a source image element with the closest determined n-dimensional distance to the input image element;
• determining a deviation between the input image element and the identified source image element based on the closest determined n-dimensional distance;
• determining whether the deviation is within a predetermined tolerance;
• in response to determining that the deviation is within the predetermined tolerance, identifying a target correlithm object corresponding to the identified source image;
• determining a perturbation to be applied to the identified target correlithm object based on the determined deviation;
• and
• generating a perturbed correlithm object by applying the determined perturbation to the identified target correlithm object.