Abstract: An article of manufacture, comprising, an artifact formed from at least a portion of at least one continuous artifact fiber, the artifact fiber dyed by a first digitally controlled dyeing process to exhibit a visible first color section and a visible color gradient section transitioning from and visibly distinguishable from the first color section; and, a textile portion, comprising at least one dyed fiber that has been dyed by a second digitally controlled dyeing process; wherein said artifact fiber is dyed by the first dyeing process applying metadata, said metadata relating to at least said first color, and wherein said textile portion fiber is dyed at least said first color by the second dyeing process applying said metadata.

Abstract: A system and methods are provided for repurposing a colored thread, including determining a base-to-target ink formula that specifies proportions of one or more inks to apply in re-coloring the colored thread from a base color to a target color.

Abstract: A method for calibrating a dyeing machine, comprising: for each of multiple colors: performing a maximizing stage to determine an effective maximum ink dispensing rate corresponding to an effective maximum colorimetric value for the dyeing machine; performing a linearizing stage, comprising: determining multiple ink dispensing rates for performing the linearizing stage by dividing the effective maximum ink dispensing rate into multiple intervals, calculating from the effective maximum colorimetric value, a linear correspondence between the multiple ink dispensing rates and multiple calculated colorimetric values, dyeing a set of substrates according to the multiple ink dispensing rates, acquiring color values of the dyed set of substrates, interpolating a non-linear correspondence between the multiple ink dispensing rates and the acquired color values, and mapping the linear correspondence to the non-linear correspondence.

Abstract: A color detection system, comprising: a card having printed thereon a color chart comprising multiple colored areas, and at least one grayscale area; a camera configured to acquire an image comprising a pixel representation a sample positioned adjacent to the card; a storage device configured to store reference data corresponding to the color chart and the at least one grayscale area; and a processor configured to: perform a grayscale correction to the pixel representation of the color chart and sample using a grayscale correction transformation between the pixel representation the grayscale area and the corresponding reference data, estimate colorimetric coordinates for the sample by applying to the respective grayscale corrected pixel representation, a transformation between the grayscale corrected pixel representation of the color chart and the corresponding colorimetric reference data, and convert the estimated colorimetric coordinates for the sample to RGB.

Abstract: A method for calibrating a dyeing machine, comprising: for each of multiple colors: performing a maximizing stage to determine an effective maximum ink dispensing rate corresponding to an effective maximum colorimetric value for the dyeing machine; performing a linearizing stage, comprising: determining multiple ink dispensing rates for performing the linearizing stage by dividing the effective maximum ink dispensing rate into multiple intervals, calculating from the effective maximum colorimetric value, a linear correspondence between the multiple ink dispensing rates and multiple calculated colorimetric values, dyeing a set of substrates according to the multiple ink dispensing rates, acquiring color values of the dyed set of substrates, interpolating a non-linear correspondence between the multiple ink dispensing rates and the acquired color values, and mapping the linear correspondence to the non-linear correspondence.

Abstract: An article of manufacture, comprising, an artifact formed from at least a portion of at least one continuous artifact fiber, the artifact fiber dyed by a first digitally controlled dyeing process to exhibit a visible first color section and a visible color gradient section transitioning from and visibly distinguishable from the first color section; and, a textile portion, comprising at least one dyed fiber that has been dyed by a second digitally controlled dyeing process; wherein said artifact fiber is dyed by the first dyeing process applying metadata, said metadata relating to at least said first color, and wherein said textile portion fiber is dyed at least said first color by the second dyeing process applying said metadata.

Abstract: Examples analyze a digital image to determine an amount of high-frequencies corresponding to each pixel of the digital image based at least in part on gradients corresponding to a pixel neighborhood of each pixel. Examples analyze the digital image to determine a degree of randomness for each pixel based at least in part on the corresponding gradients. Examples generate an activity mask for the digital image based at least in part on the amount of high-frequencies and the degree of randomness corresponding to each pixel. Examples process the pixels of the digital image by performing gray component replacement to generate a color transformed image based at least in part on the activity mask.

Abstract: Examples analyze a digital image to determine an amount of high-frequencies corresponding to each pixel of the digital image based at least in part on gradients corresponding to a pixel neighborhood of each pixel. Examples analyze the digital image to determine a degree of randomness for each pixel based at least in part on the corresponding gradients. Examples generate an activity mask for the digital image based at least in part on the amount of high-frequencies and the degree of randomness corresponding to each pixel. Examples process the pixels of the digital image by performing gray component replacement to generate a color transformed image based at least in part on the activity mask.

Abstract: Examples analyze a digital image to determine an amount of high-frequencies corresponding to each pixel of the digital image based at least in part on gradients corresponding to a pixel neighborhood of each pixel. Examples analyze the digital image to determine a degree of randomness for each pixel based at least in part on the corresponding gradients. Examples generate an activity mask for the digital image based at least in part on the amount of high-frequencies and the degree of randomness corresponding to each pixel. Examples process the pixels of the digital image by performing gray component replacement to generate a color transformed image based at least in part on the activity mask.

Abstract: A color detection system, comprising: a card having printed thereon a color chart comprising multiple colored areas, and at least one grayscale area; a camera configured to acquire an image comprising a pixel representation a sample positioned adjacent to the card; a storage device configured to store reference data corresponding to the color chart and the at least one grayscale area; and a processor configured to: perform a grayscale correction to the pixel representation of the color chart and sample using a grayscale correction transformation between the pixel representation the grayscale area and the corresponding reference data, estimate colorimetric coordinates for the sample by applying to the respective grayscale corrected pixel representation, a transformation between the grayscale corrected pixel representation of the color chart and the corresponding colorimetric reference data, and convert the estimated colorimetric coordinates for the sample to RGB.

Abstract: Herein is disclosed a magenta liquid electrostatic ink composition comprising a carrier liquid; and ink particles comprising a resin, a magenta pigment and a black pigment, wherein the black pigment is present in the composition in an amount of 0.01 to 0.5 wt % by total solids of the composition.

Abstract: Examples analyze a digital image to determine an amount of high-frequencies corresponding to each pixel of the digital image based at least in part on gradients corresponding to a pixel neighborhood of each pixel. Examples analyze the digital image to determine a degree of randomness for each pixel based at least in part on the corresponding gradients. Examples generate an activity mask for the digital image based at least in part on the amount of high-frequencies and the degree of randomness corresponding to each pixel. Examples process the pixels of the digital image by performing gray component replacement to generate a color transformed image based at least in part on the activity mask.

Abstract: Herein is disclosed a magenta liquid electrostatic ink composition comprising a carrier liquid; and ink particles comprising a resin, a magenta pigment and a black pigment, wherein the black pigment is present in the composition in an amount of 0.01 to 0.5 wt % by total solids of the composition.

Abstract: A method for inspecting a substrate for defects, including: A method for inspecting a substrate for defects, the method including the steps of: (i) obtaining at least two wafer element detection signal; each wafer element detection signal reflects light scattered to a distinct direction; each wafer element detection signal having a wafer element detection value; (ii) calculating at least one wafer element attribute value in response to the at least two wafer element detection signals; retrieving at least one reference wafer element attribute value, each wafer element attribute value corresponding to a reference wafer element attribute value; and (iii) determining a relationship between the at least one reference wafer element attribute value, wafer element attribute value and at least one threshold to indicate a presence of a defect.

Abstract: A method for inspecting a substrate for defects, including: A method for inspecting a substrate for defects, the method including the steps of: (i) obtaining at least two wafer element detection signal; each wafer element detection signal reflects light scattered to a distinct direction; each wafer element detection signal having a wafer element detection value; (ii) calculating at least one wafer element attribute value in response to the at least two wafer element detection signals; retrieving at least one reference wafer element attribute value, each wafer element attribute value corresponding to a reference wafer element attribute value; and (iii) determining a relationship between the at least one reference wafer element attribute value, wafer element attribute value and at least one threshold to indicate a presence of a defect.