Technique for use in conjunction with an imaging system for providing an appearance match between two images and for calibrating the system thereto

Claim 2

In imaging apparatus having first and second different imaging systems, wherein said first and second imaging systems generate respective first and second image depictions of a common original image, and said second imaging system has a variable response, a method for obtaining an appearance match between said first and second image depictions and for generating operational settings for varying the response of said second imaging system so as to calibrate a response of the second imaging system to a response of the first imaging system, the method comprising the steps of: obtaining data values for corresponding portions of said first and second image depictions in a pre-determined manner that substantially parallels interpretative color preferences of a viewer; and determining, in response to said data values and through a pre-defined model of said second imaging system and pre-determined matching principles, operational settings for setting the response of said second imaging system to produce an image depiction, through said second imaging system, that is an appearance match to said first image depiction, wherein said matching principles comprise a plurality of pre-defined rules that collectively define an appearance match between corresponding image depictions produced by said first and second imaging systems in response to a common source image applied as a common input to both said first and second imaging systems.

Claim 3

The method of claim 1 wherein said data values obtaining step comprises the steps of: obtaining measurement data for the corresponding portions of said first and second image depictions; and transforming said measurement data into a pre-defined coordinate system that represents color information in the predetermined manner to yield said data values.

Claim 4

The method of claim 2 wherein said imaging system comprises either a press or a first proofing system and said first image depiction comprises a target image; and said second imaging system comprises a second proofing system and said second image depiction comprises a proof image.

Claim 5

The method of claim 3 wherein said measurement data obtaining step comprises the step of densitometrically measuring corresponding portions of the proof image and the target image.

Claim 6

The method of claim 4 further comprising the steps of: (a) obtaining, from associated portions of the target image, densitometric data for: media density, three-color solid overprint densities, red and green solid overprint densities, densities of a pre-defined halftone dot size for three-color tints, and densities for a black solid and a black tint; (b) obtaining, from corresponding portions of the proof image, densitometric data corresponding to all the densitometric data set forth in step (a) above; (c) generating, through first associated corresponding ones of the densitometric data obtained through steps (a) and (b) above and in a first pre-defined manner, recommended changes in solid area densities for each of a plurality of process colors; (d) generating, through second associated corresponding ones of the densitometric data obtained through steps (a) and (b) above and in a second pre-defined manner, recommended changes in halftone dot area size for each of the process colors; (e) generating, through third associated corresponding ones of the densitometric data obtained through steps (a) and (b) above and in a third pre-defined manner, recommended changes for solid and black tint, respectively; (f) generating the proof image, through the proofing system, using all the recommended changes provided through steps (b)-(e) above; and (g) repeating steps (b)-(f) above until an acceptable appearance match results between the target image and a most recent proof image.

Claim 7

The method in claim 5 wherein said measurement data transforming step comprises the step of converting each measurement triplet r-g-b (red, green, blue) value from r-g-b coordinate space into a corresponding a-t-d triplet value.

Claim 8

The method in claim 6 wherein said converting step utilizes the following equation: ##EQU10##

Claim 9

The method in claim 5 wherein said pre-determined matching principles comprise: (a) for cyan, yellow, and magenta solid process colors: first matching "a" coordinate associated with ones of said data values for corresponding three-color solid overprint test patches in both the proof image and the target image; second matching, in a "t-d" plane, a hue angle associated with ones of said data values for corresponding solid red test patches in both the proof image and the target image; third matching, in a "t-d" plane, a hue angle associated with ones of said data values for corresponding solid green test patches in both the proof image and the target image; and (b) for three-color tint overprints: fourth matching tint densities in either a-t-d or r-g-b coordinates at a given dot size for data values associated with corresponding three-color tint overprint test patches in both the proof image and the target image; and (c) for solid black and black tint; fifth matching an "a" coordinate value in terms of "N-channel" density for data values associated with corresponding solid black and black tint test patches in both the proof image and the target image.

Claim 10

The method in claim 8 wherein said first matching step comprises the step of matching the "a" coordinate in the a-t-d coordinate space associated with said ones of said data values for the corresponding three-color overprint test patches in both the proof image and the target image according to the following equation: N.sub.a.sup.T -(N.sub.a.sup.P +ΔN.sub.a)=0 where: N a P represents an "a" coordinate value for the near neutral overprint in the proof image; N a T represents an "a" coordinate value for the near neutral overprint in the target image; N a represents a resulting correction needed in a three-color overprint "a" coordinate; wherein said second and third matching steps comprise the steps of matching the hue angle associated with ones of said data values for the corresponding solid red and green test patches in both the proof image and the target image according to the following respective equations: R.sub.t.sup.T (R.sub.d.sup.P +ΔR.sub.d)=R.sub.d.sup.T (R.sub.t.sup.P +ΔR.sub.t) G.sub.t.sup.T (G.sub.d.sup.P +ΔG.sub.d)=G.sub.d.sup.T (G.sub.t.sup.P +ΔG.sub.t) where: R t T and G t T represent "t" coordinate values for solid red and green test patches for the target image; R t P and G t P represent "t" coordinate values for solid red and green test patches for the proof image; R t and G t respectively represent a resulting correction needed in the red and green "t" coordinate values; R d T and G d T represent "d" coordinate values for solid red and green test patches for the target image; R d P and G d P represent "d" coordinate values for solid red and green test patches for the proof image; and R d and G d respectively represent a resulting correction needed in the red and green "d coordinate values; wherein said fourth matching step comprises the step of matching the tint coordinates (N a , N t , N d ) for data values associated with the corresponding three-color overprint test patches in both the proof image and the target image according to the following equations evaluated at the given dot size: N.sub.a.sup.T -(N.sub.a.sup.P +ΔN.sub.a)=0 N.sub.t.sup.T -(N.sub.t.sup.P +ΔN.sub.t))=0 N.sub.d.sup.T -(N.sub.d.sup.P +ΔN.sub.d)=0 wherein said fifth matching step comprises the step of separately matching the "a" coordinate value for data values associated with the corresponding solid black and black tint test patches, the latter at the given dot size, in both the proof image and the target image, both according to the following equation: K.sub.a.sup.T -(K.sub.a.sup.P +ΔK.sub.a)=0 where: K a represents "N-channel" solid or tint black density; subscripts T or P representing the target image or proof image; and K represents a resulting correction in solid or tint black density, respectively.

Claim 11

The method in claim 9 wherein the given dot size is substantially 50%.

Claim 12

The method in claim 5 wherein the pre-defined model is a linearized model of the response of said second proofing system at a given operating point, said model comprising a plurality of sensitivity coefficients which collectively define changes in expected response of said second proofing system to pre-defined changes in said operating point.

Claim 13

The method in claim 11 wherein said changes in said operating point comprise changes in solid area density values of cyan, yellow, magenta or black process colors or halftone dot sizes associated with any of said process colors.

Claim 14

The method in claim 12 wherein said pre-defined model is given by the following equations: (a) for three-color (red, green and blue) solid overprints: ##EQU11## where: C r represents the change in cyan process color solid area density for red light; M g represents the change in magenta process color solid area density for green light; Y b represents the change in yellow process color solid area density for blue light; and N a represents a resulting change in an "a" coordinate value for a three color overprint; (b) for red and green solid colors: ##EQU12## where: G and R represent resulting changes in green and red coordinates (with subscripts "t" and "d" denoting the "t" and "d" coordinates, respectively); (c) for three-color tint overprints ##EQU13## and (d) for black solids and tints: ΔK.sub.a =S.sub.n ΔK.sub.n where: K represents a resulting change in an "a" coordinate value for black (K) solid or black tint density; and S represents a corresponding matrix of sensitivity coefficients for neutral (S n ), green (S G ), or red (S R ).

Claim 15

The method in claim 5 wherein said operational settings determining step comprises the step of determining, in response to differences in the measured data values for corresponding portions of said proof image and the target image, changes in process color solid area density values and halftone dot size through use of the following equations: ##EQU14## where: R t T and G t T respectively represent "t" coordinate values for red and green solid areas for the target image; R t P and G t P respectively represent "t" coordinate values for red and green solid areas for the proof image; R d T and G d T respectively represent "d" coordinate values for red and green solid areas for the target image; R d P and G d P respectively represent "d" coordinate values for red and green solid areas for the proof image; DotArea represents a resulting change in dot area; S area represents a sensitivity coefficient; and D tint represents a desired change in tint density.

Claim 16

Apparatus for use in conjunction with first and second different imaging systems, wherein said first and second imaging systems generate respective first and second image depictions of a common original image, and said second imaging system has a variable response, apparatus for obtaining an appearance match between said first and second image depictions and for generating operational settings for varying the response of said second imaging system so as to calibrate a response of the second imaging system to a response of the first imaging system, the apparatus comprising: means for obtaining data values for corresponding portions of said first and second image depictions in a pre-determined manner that substantially parallels interpretative color preferences of a viewer; and means for determining, in response to said data values and through a pre-defined model of said second imaging system and pre-determined matching principles, operational settings for setting the response of said second imaging system to produce an image depiction, through said second imaging system, that is an appearance match to said first image depiction, wherein said matching principles comprise a plurality of pre-defined rules that collectively define an appearance match between corresponding image depictions produced by said first and second imaging systems in response to a common source image applied as a common input to both said first and second imaging systems.

Claim 17

Apparatus for use in conjunction with first and second different imaging systems, wherein said first and second imaging systems generate respective first and second image depictions of a common original image, and said second imaging system has a variable response, apparatus for obtaining an appearance match between said first and second image depictions and for generating operational settings for varying the response of said second imaging system so as to calibrate a response of the second imaging system to a response of the first imaging system, the apparatus comprising: means for obtaining data values for corresponding portions of said first and second image depictions in a pre-determined manner that substantially parallels interpretative color preferences of a viewer; and means for determining, in response to said data values and through a pre-defined model of said second imaging system and pre-determined matching principles, operational settings for setting the response of said second imaging system to produce an image depiction, through said second imaging system, that is an appearance match to said first image depiction, wherein said matching principles comprise a plurality of pre-defined rules that collectively define an appearance match between corresponding image depictions produced by said first and second imaging systems in response to a common source image applied as a common input to both said first and second imaging systems.

Claim 18

The apparatus in claim 15 wherein said data values obtaining means comprises: means for obtaining measurement data for the corresponding portions of said first and second image depictions; and means for transforming said measurement data into a pre-defined coordinate system that represents color information in the predetermined manner to yield said data values.

Claim 19

The apparatus in claim 16 wherein said first imaging system comprises either a press or a first proofing system and said first image depiction comprises a target image; and said second imaging system comprises a second proofing system and said second image depiction comprises a proof image.

Claim 20

The apparatus in claim 17 wherein said measurement data transforming means comprises means for converting each measurement triplet r-g-b (red, green, blue) value from r-g-b coordinate space into a corresponding a-t-d triplet value.

Claim 21

The apparatus in claim 18 wherein said converting means utilizes the following equation: ##EQU15##

Claim 22

The apparatus in claim 17 wherein said pre-determined matching principles comprise: (a) for cyan, yellow, and magenta solid process colors: first matching an "a" coordinate associated with ones of said data values for corresponding three-color solid overprint test patches in both the proof image and the target image; second matching, in a "t-d" plane, a hue angle associated with ones of said data values for corresponding solid red test patches in both the proof image and the target image; third matching, in a "t-d" plane, a hue angle associated with ones of said data values for corresponding solid green test patches in both the proof image and the target image; and (b) for three-color tint overprints: fourth matching tint densities in either a-t-d or r-g-b coordinates at a given dot size for data values associated with corresponding three-color tint overprint test patches in both the proof image and the target image; and (c) for solid black and black tint; fifth matching an "a" coordinate value in terms of "N-channel" density for data values associated with corresponding solid black and black tint test patches in both the proof image and the target image.

Claim 23

The apparatus in claim 17 wherein the pre-defined model is a linearized model of the response of said second proofing system at a given operating point, said model comprising a plurality of sensitivity coefficients which collectively define changes in expected response of said second proofing system to pre-defined changes in said operating point.

Claim 24

The apparatus in claim 21 wherein said changes in said operating point comprise changes in solid area density values of cyan, yellow, magenta or black process colors or halftone dot sizes associated with any one of said process colors.

Claim 25

The apparatus in claim 22 wherein said pre-defined model is given by the following equations: (a) for three-color (red, green and blue) solid overprints: ##EQU16## where: C r represents the change in cyan process color solid area density for red light; M g represents the change in magenta process color solid area density for green ; Y b represents the change in yellow process color solid area density for blue; and N a represents a resulting change in an "a" coordinate value for a three color overprint; (b) for red and green solid colors: ##EQU17## where: G and R represent resulting changes in green and red coordinates (with subscripts "t" and "d" denoting the "t" and "d" coordinates, respectively); (c) for three-color tint overprints ##EQU18## and (d) for black solids and tints: ΔK.sub.a =S.sub.n ΔK.sub.n where: K represents a resulting change in an "a" coordinate value for black (K) solid or black tint density; and S represents a corresponding matrix of sensitivity coefficients for neutral (S n ), green (S G ), or red (S R ).

Claim 26

The apparatus in claim 17 wherein said operational settings determining means comprises means for determining, in response to differences in the measured data values for corresponding portions of said proof image and the target image, changes in process color solid area density values and halftone dot size through use of the following equations: ##EQU19## where: R t T and G t T respectively represent "t" coordinate values for red and green solid areas for the target image; R t P and G t P respectively represent "t" coordinate values for red and green solid areas for the proof image; R d T and G d T respectively represent "d" coordinate values for red and green solid areas for the target image; R d P and G d P respectively represent "d" coordinate values for red and green solid areas for the proof image; DotArea represents a resulting change in dot area; S area represents a sensitivity coefficient; and D tint represents a desired change in tint density.