Claims Analysis
Total Claims: 10
Claim 1
Independent Claim
236 words
A method for generating a threshold value matrix for a basic screen for frequency-modulated half-toning for generating a half-toned form of image data, which comprises the steps of: varying the image data in a total value range between 0% and 100%; forming the threshold value matrix to contain MX×MY threshold values and being filled with the threshold values from 0 to (MX×MY−1); determining values of image points of the half-toned form by performing a comparison between tonal values of the image data and the threshold values of the threshold value matrix; placing black points alternately in a first binary data field having MX×MY binary points; placing white points in a second binary data field having MX×MY binary points; determining first positions with at least two low-pass filters of different width applied to the first binary data field and to the second binary data field respectively; at the first positions or in an environment of the first positions, performing a search for specific part patterns of the black or white points and second positions are determined there, at which the black and white points are respectively placed; and at the second positions of the black points, entering the threshold values from 0 to ((MX×MY)/2−1) in the threshold value matrix in ascending order and at the second positions of the white points, entering the threshold values from (MX×MY−1) to ((MX×MY)/2) in the threshold value matrix in descending order.
Claim 2
Independent Claim
236 words
A method for generating a threshold value matrix for a basic screen for frequency-modulated half-toning for generating a half-toned form of image data, which comprises the steps of: varying the image data in a total value range between 0% and 100%; forming the threshold value matrix to contain MX×MY threshold values and being filled with the threshold values from 0 to (MX×MY−1); determining values of image points of the half-toned form by performing a comparison between tonal values of the image data and the threshold values of the threshold value matrix; placing black points alternately in a first binary data field having MX×MY binary points; placing white points in a second binary data field having MX×MY binary points; determining first positions with at least two low-pass filters of different width applied to the first binary data field and to the second binary data field respectively; at the first positions or in an environment of the first positions, performing a search for specific part patterns of the black or white points and second positions are determined there, at which the black and white points are respectively placed; and at the second positions of the black points, entering the threshold values from 0 to ((MX×MY)/2−1) in the threshold value matrix in ascending order and at the second positions of the white points, entering the threshold values from (MX×MY−1) to ((MX×MY)/2) in the threshold value matrix in descending order.
Claim 3
Dependent Claim
37 words
The method according to claim 1 , which further comprises generating further threshold value matrices for printing inks by performing a combination of scaling and/or rotation and/or mirroring of the threshold value matrix of the basic screen.
Claim 4
Dependent Claim
18 words
The method according to claim 2 , which further comprises setting rotation amounts to a multiple of 90°.
Claim 5
Dependent Claim
159 words
The method according to claim 1 , which further comprises optimizing the threshold value matrix by the further steps of: in a binary data field having a bit pattern of the black and white points produced when the threshold values are compared with a predefined tonal value, using at least two low-pass filters of different widths, which are applied to the binary data field, for determining a position of a maximum filtered value and a position of a minimum filtered value; at the position of the maximum filtered value and the minimum filtered value or in an environment of these positions, performing a search for specific part patterns of the black and white points and modified positions of the maximum filtered value and the minimum filtered value are determined there; interchanging, at the modified positions in the binary data field, the black and white points; and interchanging, at the modified positions in the threshold value matrix, the threshold values.
Claim 6
Dependent Claim
35 words
The method according to claim 4 , wherein as a result of the interchanging of the black and white points, part patterns having pointed and angular structures are converted into part patterns having round structures.
Claim 7
Dependent Claim
96 words
The method according to claim 1 , which further comprising optimizing the threshold value matrix by the further steps of: in a binary data field having a bit pattern of black and white points produced when the threshold values are compared with a predefined tonal value, performing a search for specific part patterns of the black and white points and determining the positions of the part patterns; interchanging, at the positions found in the binary data field, the black and white points; and interchanging, at the positions found in the threshold value matrix, the threshold values.
Claim 8
Dependent Claim
24 words
The method according to claim 6 , wherein as a result of the interchanging of the black and white points, isolated points are eliminated.
Claim 9
Dependent Claim
84 words
The method according to claim 1 , which further comprises assessing a quality of the threshold value matrix by the further steps of: in binary data fields having bit patterns of the black and white points produced when the threshold values are compared with different tonal values, determining a maximum filtered value and a minimum filtered value by using at least one low-pass filter; and using a difference between the maximum filtered value and the minimum filtered value as a measure of the quality.
Claim 10
Dependent Claim
78 words
The method according to claim 1 , which further comprises assessing a quality of a threshold value matrix by the further steps of: in binary data fields having bit patterns of the black and white points produced when the threshold values are compared with different tonal values, performing a search for specific part patterns, to which weights are assigned in groups; and using a sum of the weights of the part patterns as a measure of the quality.