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WO1997018666A1 - Screening method - Google Patents

Screening method Download PDF

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Publication number
WO1997018666A1
WO1997018666A1 PCT/SE1996/001451 SE9601451W WO9718666A1 WO 1997018666 A1 WO1997018666 A1 WO 1997018666A1 SE 9601451 W SE9601451 W SE 9601451W WO 9718666 A1 WO9718666 A1 WO 9718666A1
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WO
WIPO (PCT)
Prior art keywords
picture
screens
screening
screen
screening according
Prior art date
Application number
PCT/SE1996/001451
Other languages
French (fr)
Swedish (sv)
Inventor
Björn KRUSE
Original Assignee
Forskarpatent I Linköping Ab
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Forskarpatent I Linköping Ab filed Critical Forskarpatent I Linköping Ab
Priority to AU76594/96A priority Critical patent/AU7659496A/en
Publication of WO1997018666A1 publication Critical patent/WO1997018666A1/en

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/40Picture signal circuits
    • H04N1/405Halftoning, i.e. converting the picture signal of a continuous-tone original into a corresponding signal showing only two levels
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/40Picture signal circuits
    • H04N1/405Halftoning, i.e. converting the picture signal of a continuous-tone original into a corresponding signal showing only two levels
    • H04N1/4055Halftoning, i.e. converting the picture signal of a continuous-tone original into a corresponding signal showing only two levels producing a clustered dots or a size modulated halftone pattern

Definitions

  • Picture reproduction in print is in most cases done with a very limited number of colours. For the reproduction of black and white pictures only one colour is necessary, normally black, while reproduction of colour picture requires at least three printing colours.
  • the object of the screen is to distribute the colour over the surface, surface modulation, so that the resulting impression of the screened picture coincides with that of the original.
  • the tone value 50% is desired the area is in principle to be divided so that half of the area is covered with colour and half of the area is bare (without colour).
  • This dividing of the area can be carried out in a number of different ways.
  • a usual method of digital screening is to imitate the effect of differently large screen points that one achieves at optical screening.
  • Another way is to emulate the light sensitive particles in a film. In the latter case the result receives a random character. In the former case the result is regularly arranged as a lattice.
  • the original picture is separated in its colour components, most frequently cyan, magenta and yellow that are each screened separately. Because of the risk of moire patterns different techniques are used to modify the conventional screens, for instance by the use of different screen angles of the separations . If non-periodic screens are used the moire problem is minimised already from the start .
  • the method depends on the original picture being divided into segments for which different screening methods are suitable.
  • the separating into segments can be done based on local richness of detail, tone value or some other property of the picture or the media.
  • Each point in the picture area belongs to one of the different segments. In the transition zones between two segments a point may partly belong to two or several segments.
  • the local variation may be given a threshold so that a segment is constituted by detail, in the picture with great variation, S 2 , while the second segment has a lower local variation, S 1 .
  • the local variation may be given a threshold so that a segment is constituted by detail, in the picture with great variation, S 2 , while the second segment has a lower local variation, S 1 .
  • t 2 is a threshold that rules the size of the variation. Only points with a greater local variation belong to. S 2 .
  • the segment S 1 is in this case constituted by the remaining picture points, that is those that do not belong to .
  • the variation may be constituted by the variation measure known from statistics but may also be calculated in other ways It should be observed that the segments are not necessarily hanging together. How fragmented they are is ruled by the character of the original picture . In a more complicated case with three segments S 1 , S 2 and S 3 , the definition could be the following.
  • S 1 remaining points In this case the picture is separated into three segments. One, S 3 , where there is a large richness of detail, one, S 2 , where the richness of detail is less but where the tone value is higher than the threshold value t 2 and finally S 1 constituted by the remaining points where we have a low tone value and little variation.
  • S 3 where there is a large richness of detail
  • S 2 where the richness of detail is less but where the tone value is higher than the threshold value t 2
  • S 1 constituted by the remaining points where we have a low tone value and little variation.
  • the number of segments may of course be larger. In the following we allow n to define the number of segments S 0 , S 1 and
  • each point (x,y) in the area belongs to one and only one segment. If, however, 0.0 ⁇ S 1 (x,y) ⁇ 1 .0 the point (x,y) lies in a transition zone between the two segments.
  • the value of S i (x,y) may be associated to how close the point is to the inner of the segment. A large value close to 1.0, means that the point is closer to the inner of the segment while a lower value means that it is further away.
  • the border zone may for instance be made by low pass filtration of the segment in question . At the transition between two segments values between 0.0 and 1.0 result defining the degree of belongingness .
  • R 1 , R 2 ... R n be n number of screens belonging to respective segments.
  • the screens may explicitly be defined as matrixes or functions of (x,y) so that a screen value between 0.0 and 1.0 can be calculated for each picture point.
  • the screen may for instance be a conventional screen, a stocastic screen or a screen that has been made in some other optional way.
  • R is the starting point for an optimising (minimising) of the difference between the original picture and the screened version of the original picture.
  • the screened picture is obtained by comparing the picture point value with the corresponding screen point value (threshold screening) .
  • RP denote the screened picture.
  • D(x,y) to be the difference between the original and screened version added over a surrounding N:
  • N is a surrounding of the point (x,y) If the original picture were binary D would be ⁇ 0 at optimum. If P however is a picture with half tones D will never be zero everywhere. Our requirement for optimum is instead that
  • is small in each point.
  • Point enlarging is an effect at the producing of films, plates and in printing by the interacting of the colour with the paper. When illuminated an effect is added depending on optical spreading effects in the paper substrate.
  • the first effect is normally called mechanical point enlarging while the latter is called optical point enlarging .
  • a simple correction of the point enlarging can be made in the tone value of the picture, as is common today, however the point enlarging is dependent both on the shape of the screen and the size of the screen points.
  • a compensation that in this meaning takes detailed regard to shape and size can only be executed under the optimising phase above . It is not until the picture is screened that the real look of the actual points are known.
  • G(RP) is a generally unlinear function over an environment of each point in RP.
  • the function G is such that is compensates for the point enlarging actually obtained.
  • the function has a different form depending on actual printing media and printing press. For instance the influence of the physical point enlarging on RP can be described as:
  • RP' is now no longer binary but shows an extended zone outside each screen point, that depending on the coefficients c ⁇ ⁇ may have different extension .
  • the influence of the optical point enlarging on RP' may for instance be described as :
  • the coefficients d ⁇ ⁇ are ruled by the optical spreading properties of the paper.
  • the function G may also take in regard the remaining frequency response of the screen function. A simple generalisation of this is to allow G also to be dependent on the specific screen function.

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Spectrometry And Color Measurement (AREA)
  • Printing Methods (AREA)
  • Facsimile Image Signal Circuits (AREA)

Abstract

Electronic, digital screening of pictures, in particular for printing, where different types of screens are mixed for one and the same picture. In picture areas with a detailed structure a fine screen is used while for larger areas with a less detailed structure in grey or colour scales a more coarse screen is used. Coarser screens may further be used for the parts of the picture that are to be very light (for instance skin tones and shiny parts). By allowing the screens to be integer number multiples of each other automatically soft transitions are obtained and some picture points will be parts in both screens.

Description

Screening method
Background
Picture reproduction in print is in most cases done with a very limited number of colours. For the reproduction of black and white pictures only one colour is necessary, normally black, while reproduction of colour picture requires at least three printing colours.
In order to resemble the continuous tone variation of the original screens are used. The object of the screen is to distribute the colour over the surface, surface modulation, so that the resulting impression of the screened picture coincides with that of the original. If the tone value 50% is desired the area is in principle to be divided so that half of the area is covered with colour and half of the area is bare (without colour). This dividing of the area can be carried out in a number of different ways. A usual method of digital screening is to imitate the effect of differently large screen points that one achieves at optical screening. Another way is to emulate the light sensitive particles in a film. In the latter case the result receives a random character. In the former case the result is regularly arranged as a lattice.
At the printing of colour pictures the original picture is separated in its colour components, most frequently cyan, magenta and yellow that are each screened separately. Because of the risk of moire patterns different techniques are used to modify the conventional screens, for instance by the use of different screen angles of the separations . If non-periodic screens are used the moire problem is minimised already from the start .
Different types of screens have different properties in combination with the character of the picture and the media on which it is printed. Generally speaking one can say that it is more difficult to use screens with small screen points. A fine screen with small points, however, provides the possibility of increased reproduction of details. It is therefore desirable to use a fine screen where there are fine details in the picture while a coarser screen is to be preferred for the reproduction of even tone surfaces without details . This patent application concerns a method to achieve a mixed screen that meets these desired objects but is not limited on this. Description of the method
The method depends on the original picture being divided into segments for which different screening methods are suitable. The separating into segments can be done based on local richness of detail, tone value or some other property of the picture or the media. Each point in the picture area belongs to one of the different segments. In the transition zones between two segments a point may partly belong to two or several segments. For instance the local variation may be given a threshold so that a segment is constituted by detail, in the picture with great variation, S2, while the second segment has a lower local variation, S1. If our starting picture is P and N is the local environment the following statement can be made :
Figure imgf000004_0002
where t2 is a threshold that rules the size of the variation. Only points with a greater local variation belong to. S2. The segment S1 is in this case constituted by the remaining picture points, that is those that do not belong to
Figure imgf000004_0003
. The variation may be constituted by the variation measure known from statistics but may also be calculated in other ways It should be observed that the segments are not necessarily hanging together. How fragmented they are is ruled by the character of the original picture . In a more complicated case with three segments S1 , S2 and S3, the definition could be the following.
Figure imgf000004_0001
S1 remaining points In this case the picture is separated into three segments. One, S 3, where there is a large richness of detail, one, S2, where the richness of detail is less but where the tone value is higher than the threshold value t2 and finally S1 constituted by the remaining points where we have a low tone value and little variation. The above examplifies two possible segementation grounds. The number of segments may of course be larger. In the following we allow n to define the number of segments S0, S1 and
Sn. In the examples above the segments have been binary, that is each point in the picture area has belonged to only one segment, in this case:
Figure imgf000005_0001
Furthermore
Figure imgf000005_0002
that is each point (x,y) in the area belongs to one and only one segment. If, however, 0.0 < S1(x,y) < 1 .0 the point (x,y) lies in a transition zone between the two segments. The value of Si (x,y) may be associated to how close the point is to the inner of the segment. A large value close to 1.0, means that the point is closer to the inner of the segment while a lower value means that it is further away. The border zone may for instance be made by low pass filtration of the segment in question . At the transition between two segments values between 0.0 and 1.0 result defining the degree of belongingness .
Now let R1, R2... Rn, be n number of screens belonging to respective segments. The screens may explicitly be defined as matrixes or functions of (x,y) so that a screen value between 0.0 and 1.0 can be calculated for each picture point. The screen may for instance be a conventional screen, a stocastic screen or a screen that has been made in some other optional way. By the separating into segments we can make new screens R by
Figure imgf000005_0003
R is the starting point for an optimising (minimising) of the difference between the original picture and the screened version of the original picture. The screened picture is obtained by comparing the picture point value with the corresponding screen point value (threshold screening) . Let RP denote the screened picture. We can write :
Figure imgf000005_0004
Furthermore allow D(x,y) to be the difference between the original and screened version added over a surrounding N:
Figure imgf000006_0001
where N is a surrounding of the point (x,y) If the original picture were binary D would be≡ 0 at optimum. If P however is a picture with half tones D will never be zero everywhere. Our requirement for optimum is instead that |D(x,y)| is small in each point. A more simple generalisation of the difference matrix D is a weighted sum over the points of the surrounding:
Figure imgf000006_0002
where
Figure imgf000006_0003
Previously (without this generalisation) all coefficients have one and the same value. If DΝ≡ 0 the method is clear. Otherwise the screen is modified successively so that |DΝ| is minimised. This is done in the following way by making a new screen matrix R ':
Figure imgf000006_0004
The picture is screened with the new screen R' . If the error or deviation is diminished the screen R may be updated by putting R = R' and the process is repeated yet another time. The process may be continued as long as |DN| decreases. When this is no longer the case a minimum point has been achieved and the process is ended. In order to screen a colour picture the method is used on the separations of the picture separately . An alternative method is to include all colours in the optimising process. By calculation in each iteration of the optimisation in which separation that an altering reduces the error most and thereafter chose that for updating the process may better adapt itself to the variation of the picture.
Point enlarging is an effect at the producing of films, plates and in printing by the interacting of the colour with the paper. When illuminated an effect is added depending on optical spreading effects in the paper substrate. The first effect is normally called mechanical point enlarging while the latter is called optical point enlarging . A simple correction of the point enlarging can be made in the tone value of the picture, as is common today, however the point enlarging is dependent both on the shape of the screen and the size of the screen points. A compensation that in this meaning takes detailed regard to shape and size can only be executed under the optimising phase above . It is not until the picture is screened that the real look of the actual points are known.
A simple generalisation of the method takes during the optimising sequence regard to the above described local point enlarging . At the calculation of the difference function the expression DN is changed to: where
Figure imgf000007_0001
Figure imgf000007_0002
In this expression G(RP) is a generally unlinear function over an environment of each point in RP. The function G is such that is compensates for the point enlarging actually obtained. The function has a different form depending on actual printing media and printing press. For instance the influence of the physical point enlarging on RP can be described as:
Figure imgf000007_0003
RP' is now no longer binary but shows an extended zone outside each screen point, that depending on the coefficients cζ η may have different extension . The influence of the optical point enlarging on RP' may for instance be described as :
Figure imgf000008_0001
The coefficients dζ η are ruled by the optical spreading properties of the paper. The function G may also take in regard the remaining frequency response of the screen function. A simple generalisation of this is to allow G also to be dependent on the specific screen function.
In order to illustrate the invention a picture is enclosed which has been screened in accordance with the invention. Only two screens have been used, which are of the same type but with a doubled number of points for the finer screen i relation to the more coarse one. Since the screens are integer number multiples of each other automatically a soft transition is obtained between the filters and some picture points will be parts of both screens.

Claims

Claims
1 . Electronic, in particular digital screening of pictures, in particular for printing,
characterised in that different types of screens are mixed for one and the same picture, the choice of screens being dependent on what is to be depicted.
2. Screening according to claim 1, characterised in that in picture parts with a detailed structure a fine screen is used while for larger areas with less detailed structure in grey or colour scales a more coarse screen i used.
3 . Screening according to claim 1 , characterised in that the transition between different screens is successive, by for instance bringing a digital picture signal, that is used as a masque, to pass through a low pass filter .
4. Screening according to any of the preceding claims, characterised in that the used screens are of the same type and in particular multiples of each other.
5. Screening according to any of the preceding claims, characterised in that after the screening is carried out, a comparison is made of the screened picture and the original picture, the differences in appearance of the screened picture being used locally to correct the screened picture, for instance the size of the points, which method may be iteratively repeated in order successively to give an increasing coincidence in perception between the original picture and the screened picture.
6. Screening according to claim 5, characterised in that simultaneously a correction for optical point enlarging is made.
7. Screening according to any of the preceding claims, characterised in that coarser screens are used for the parts of the picture that are to be very light (for instance skin tones and shiny parts).
PCT/SE1996/001451 1995-11-13 1996-11-12 Screening method WO1997018666A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU76594/96A AU7659496A (en) 1995-11-13 1996-11-12 Screening method

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
SE9504016A SE9504016L (en) 1995-11-13 1995-11-13 Halftoning
SE9504016-8 1995-11-13

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Publication Number Publication Date
WO1997018666A1 true WO1997018666A1 (en) 1997-05-22

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0828379A3 (en) * 1996-09-04 1999-01-20 Canon Information Systems, Inc. Halftoning with gradient-based selection of dither matrices
EP0946049A1 (en) * 1998-03-24 1999-09-29 Hewlett-Packard Company Processing images
EP2464092A1 (en) * 2010-12-10 2012-06-13 Canon Kabushiki Kaisha Image processing apparatus and image processing method

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5055942A (en) * 1990-02-06 1991-10-08 Levien Raphael L Photographic image reproduction device using digital halftoning to screen images allowing adjustable coarseness
US5408338A (en) * 1992-02-19 1995-04-18 Ricoh Company, Ltd. Image processing unit processing pixel data according to scan line density

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5055942A (en) * 1990-02-06 1991-10-08 Levien Raphael L Photographic image reproduction device using digital halftoning to screen images allowing adjustable coarseness
US5408338A (en) * 1992-02-19 1995-04-18 Ricoh Company, Ltd. Image processing unit processing pixel data according to scan line density

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0828379A3 (en) * 1996-09-04 1999-01-20 Canon Information Systems, Inc. Halftoning with gradient-based selection of dither matrices
EP0946049A1 (en) * 1998-03-24 1999-09-29 Hewlett-Packard Company Processing images
EP2464092A1 (en) * 2010-12-10 2012-06-13 Canon Kabushiki Kaisha Image processing apparatus and image processing method
US8749851B2 (en) 2010-12-10 2014-06-10 Canon Kabushiki Kaisha Image processing apparatus and image processing method

Also Published As

Publication number Publication date
SE9504016L (en) 1997-05-14
AU7659496A (en) 1997-06-05
SE9504016D0 (en) 1995-11-13

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