Abstract:
An LED-based spectrophotometer uses a reconstruction algorithm, based on spectral information of an illumination source and a reference spectrophotometer, to convert integrated multiple illuminant measurements from a non-fully illuminant populated color sensor into a fully populated spectral curve using a reference database. A non-linear model, such as a fuzzy inference system (FIS), is used to reconstruct spectra.
Abstract:
Systems and methods of controlling banding defects on a receiving member in an imaging or printing process using a feedback and/or feedforward control technique. In one exemplary embodiment, a method of controlling banding defects on a receiving member in an imaging or printing process includes (a) determining a toner density on the receiving member, (b) automatically determining the extent of banding on the receiving member by comparing the determined toner density to a reference toner density value, and (c) automatically adjusting the toner density based on a result obtained from the comparison of the measured toner density to the reference toner density value, automatically determining the extent of banding and automatically adjusting the toner density being performed using a feedback and/or feedforward control routine or application.
Abstract:
An LED-based spectrophotometer uses a reconstruction algorithm, based on spectral information of an illumination source and a reference spectrophotometer, to convert integrated multiple illuminant measurements from a non-fully illuminant populated color sensor into a fully populated spectral curve using a reference database. A non-linear model, such as a fuzzy inference system (FIS), is used to reconstruct spectra.
Abstract:
An LED-based spectrophotometer uses a reconstruction algorithm, based on spectral information of an illumination source and a reference spectrophotometer, to convert integrated multiple illuminant measurements from a non-fully illuminant populated color sensor into a fully populated spectral curve using a reference database. A non-linear model, such as a fuzzy inference system (FIS), is used to reconstruct spectra.
Abstract:
Systems and methods of controlling banding defects on a receiving member in an imaging or printing process using a feedback and/or feedforward control technique. In one exemplary embodiment, a method of controlling banding defects on a receiving member in an imaging or printing process includes (a) determining a toner density on the receiving member, (b) automatically determining the extent of banding on the receiving member by comparing the determined toner density to a reference toner density value, and (c) automatically adjusting the toner density based on a result obtained from the comparison of the measured toner density to the reference toner density value, automatically determining the extent of banding and automatically adjusting the toner density being performed using a feedback and/or feedforward control routine or application.
Abstract:
Systems and methods of controlling banding defects on a receiving member in an imaging or printing process using a feedback and/or feedforward control technique. In one exemplary embodiment, a method of controlling banding defects on a receiving member in an imaging or printing process includes (S1220) determining a toner density on the receiving member, (S1230) automatically determining the extent of banding on the receiving member by comparing the determined toner density to a reference toner density value, and (S1240) automatically adjusting the toner density based on a result obtained from the comparison of the measured toner density to the reference toner density value, automatically determining the extent of banding and (S1260) automatically adjusting the toner density being performed using a feedback and/or feedforward control routine or application.
Abstract:
PROBLEM TO BE SOLVED: To provide a system and a method for adjusting a horizontal stripe defect on an image receiving member in an image generating stage or a printing stage by utilizing the technique of at least either feedback control or feedforward control. SOLUTION: The method for adjusting the horizontal stripe defect on the image receiving member in the image generating stage or the printing stage includes (a) a stage in which toner density on the image receiving member is decided, (b) a stage in which the decided toner density is compared with a reference toner density value so as to automatically decide the extent of the horizontal stripe on the image receiving member, and (c) a stage in which the toner density is automatically adjusted based on the result obtained by comparing the measured toner density with the reference toner density value. In the method, the routine or the application of at least either the feedback control or the feedforward control is used to perform processing to automatically decide the extent of the horizontal stripe and processing to automatically adjust the toner density. COPYRIGHT: (C)2006,JPO&NCIPI
Abstract:
PROBLEM TO BE SOLVED: To provide a method for adjusting the printing uniformity of a xerographic device. SOLUTION: The method for adjusting the printing uniformity of a xerographic device with an LED print bar includes a step 24 for printing, on a target medium, test pattern lines related to respective LEDs of the LED print bar, in a processing direction of the xerographic device, a step for transferring the target medium having the printed test pattern lines, a step 25 for detecting the test pattern lines printed by scanning the target medium, a step for transmitting the information of the detected test pattern lines to a computer, a step 26 for determining metrics measured by the information of the detected test pattern lines, a step 27 for calculating the difference between the measured metrics and a target value, and a step 28 for adjusting the current supplied to respective LEDs related to the test pattern lines for reducing the difference when the absolute value of the difference exceeds a first specified threshold value. COPYRIGHT: (C)2004,JPO&NCIPI
Abstract:
PROBLEM TO BE SOLVED: To determine a spectrum based on a non-spectrum input using a reference database including a reflected spectrum and a training sample indicating an LED sensor output corresponding to the reflected spectrum. SOLUTION: The spectrophotometer of an LED base uses reconstructing algorithm based on a reference spectrophotometer and the spectrum information of light emitting source, and then converts the measurement of an integrated multiple light emitting body from a color sensor with a mounted non-full light emitting body to a fully mounted spectrum curve. A non-linear model such as a fuzzy inference system FIS is used to reconstruct the spectrum.