Abstract:
A method, non-transitory computer readable medium, and apparatus for applying a cost function to calculate an optimal value of a single variable for a calibration application are disclosed. For example, the method identifies the single variable of the calibration application, applies a cost function to the single variable, wherein the cost function comprises a function of a fit error plus a regularization weighting parameter (λ) times a regularization cost, calculates the optimal value of the single variable based upon the cost function that is applied to the single variable and uses the optimal value of the single variable to generate a calibration matrix used for the calibration application.
Abstract:
An apparatus is disclosed that automatically generates a set of recommended printer settings 300 for a print job 100 submitted to a printer 10. The apparatus comprises at least one processor which executes computer program code from at least one memory, wherein the at least one memory and the computer program code are configured, with the at least one processor, to cause the apparatus at least to: receive a submitted print job for a printer, the submitted print job including content to be printed by the printer and a set of user input printer settings for the printer; analyze the content to be printed by the printer; designate a classification for the submitted print job based on said analysis; obtain historical data from a knowledge database, the historical data being related to prior print jobs run on the printer and indicating printer settings used when running the prior print jobs on the printer; and output a set of recommended printer settings based at least in part on one or more of the received print job, the designated classification and the obtained historical data.
Abstract:
A method, non-transitory computer readable medium, and apparatus for calibrating a device using augmented data are disclosed. For example, the method measures k spectral values of each patch for a first plurality of patches generated by the device and a second plurality of patches generated by the reference device, creates a first augmented data set by selecting a delta (δ), wherein the first augmented data set comprises the δ applied k times to each one of the k spectral values of each one of the first plurality of patches, initializes initializing a function to create a second augmented data set for the reference device, solves the function to obtain a matrix of calibration values of the device that is based upon the first augmented data set and the second augmented data set and calibrates the device using the matrix of calibration values.