JPH02262763A - Image input/output device - Google Patents

Abstract

PURPOSE:To automatically control all following operation time-sequentially for each output graphic and to largely save labor, time and resources by inputting the position information of graphic input and a color original image, which is attached to a transparent base, and the processing condition parameter of each color original image. CONSTITUTION:A console 50 equipped with a keyboard is prepared as a data and command input device and data, etc., inputted from the console 50 are inputted to a computer (mini computer) 51. Then, information processed by this computer 51 are displayed on an interactive graphic display 52. Further, the x-position of a reading head 16 is detected by a linear encoder 17, which is engaged to a guide rail 18, and the position information are inputted to a timing control circuit 55. The X-position of an output head 32 is also detected by a linear encoder 35, which is engaged to a guide rail 36, and the position information are inputted to the timing control circuit 55.

Description

DETAILED DESCRIPTION OF THE INVENTION The present invention relates to an image input/output device, and in particular to an image scanning recording device having fine scanning and rough scanning functions such as a color scanner for printing plate making, a laser color printer, etc. The color separation signals are input after being enlarged or reduced to a specified magnification, and the color separation signals are subjected to appropriate color correction processing, sharpness enhancement processing, 1 gradation conversion processing, and then displayed on the recording screen using layout instruction information input by a digitizer, etc. The present invention relates to an image input/output device that outputs laid out images in chronological order.

In order to lay out multiple color originals for each color separation, a color scanner is used to create a halftone color separation film for each original at a predetermined magnification, and the above halftone color separation is combined with a mask plate created in a separate process. There is a method in which a film is laid out and pasted on a layout sheet, and this is exposed in close contact to create a layout of each color separation plate. However, this method has the disadvantage that it is complicated due to the large number of steps, and requires a high degree of skill, as well as a large amount of time, labor, and materials, such as registering and pasting the color separation plates on the layout sheet at predetermined positions. In addition, each of the multiple Kalani original drawings is printed in color at a specified magnification, and the created duplicate original drawings are cut out in the shape of a predetermined block shape and pasted in a predetermined position on the block board to create a color layout. There is a way to duplicate images. However, since such a method uses a photographic technique, there are problems in terms of image quality, such as the inability to freely change color correction processing, sharpness enhancement two-tone conversion processing, etc. Furthermore, although there are devices that output rectangular images simultaneously using multiple input devices (for example, Japanese Patent Publication No. 31762/1989), they are difficult to handle with arbitrary shapes, require labor to create mask plates, etc., and input color originals. However, it has the disadvantage that it requires multiple input scanning units.

In recent years, a layout retouching system called a so-called total system for the printing plate-making process has been proposed. In this system, graphics are input using a digitizer, and the graphics and images are displayed on a color CRT (cathode ray tube). It has become so. However,
The original color image is scanned by a color scanner at a specified magnification, and after AD conversion is stored in a storage device such as a magnetic disk.

Then, the stored color original image information is displayed on a color CRT according to the input graphic information, edited in the main memory of the computer by interactive input, and stored again on a magnetic disk or the like in a format compatible with the output screen. Then I
After the color image information corresponding to the output screen after the JA collection is DA-converted, it is input to the output control circuit of the color scanner to obtain a desired layout image. However, such a layout retouching system requires a medium such as a large-capacity magnetic disk to store information on the color original image, and a high-speed computer for editing processing, resulting in an expensive system configuration. There are drawbacks such as the need for a large amount of time for editing processing and the like. Therefore, an object of the present invention is to provide an image input/output device that does not have the above-mentioned drawbacks.

Another object of the present invention is that in an image input/output device that photoelectrically scans a color original, performs logarithmic conversion, processes color, sharpness, and gradation, and outputs the original, color, sharpness, and gradation are Parameter changes and settings, such as An object of the present invention is to provide an image input/output device that can be set for fishing.

Hereinafter, the present invention will be described in detail with reference to the drawings.

FIG. 1 is a block diagram showing an embodiment of the image input/output device of the present invention, in which a transparent head 11 of an input drum 10 is shown.
Original color drawings A, B, and C pasted above.

Layout images A', B', C', and D' are output on color paper 31, which is a recording material pasted on an output drum 30, according to the information input by the digitizer 20 as a graphic input device. I am doing what I do. Therefore, the input drum 10 and the output drum 3
0 has a cylindrical drum structure as shown in FIG. 4, and is rotated in one direction (main scanning direction) by a motor 12, and its rotational position (main scanning position) is a rotary encoder 13 connected to the output shaft
It is now detected by. In addition, the color original pictures A to D pasted on the input drum 10 are connected to the pulse motor 1.
4 and a lead screw 15 in the X direction (sub-scanning direction), the image information is read by color separation, and the color separation signal PS (three-color separation signal and unsharp signal) is The density signal DS is input to the logarithm circuit 40, converted to a 7 degree signal DS, and then converted to a digital signal by the AD converter 41. The density signal DS is input to the color processing circuit 42, where color correction, sharpness enhancement, Image information subjected to tone conversion processing and color processing is input and stored in the buffer memory 43.

The information stored in the buffer memory 43 is then
After being converted into an analog signal by a converter 44, it is inputted to a modulator 45 in a laser beam printer, and then output to a laser oscillator 4.
Laser light from 6 (3-color laser light of blue, Fl, and red, or 3 laser lights with different wavelengths for false color)
The color paper 31 pasted on the output drum 30 is exposed through the output head 32 by modulating the light. Note that the output head 32 is moved in the X direction (sub-scanning direction) via a pulse motor 33 and a lead screw 34 connected thereto.

On the other hand, a console 50 equipped with a keyboard is provided as a data and command input device, and data etc. inputted from the console 50 are inputted to a computer (minicomputer) 51, and the information processed by this computer 51 is transmitted in an interactive manner. The computer 51 is further connected to a microprocessor 53 of a lower system, and the microprocessor 53 is connected to the color processing circuit 42 and buffer memory 43 by a hash line 54. . In addition,
A computer 51 and a microprocessor 53 constitute a computer system, and instructions to an operator etc. are displayed on a graphic display 52 according to a built-in program.

Further, the X position of the reading head 16 is detected by the linear encoder 17 engaged with the guide rail 18, and the position information is inputted to the timing control circuit 55, and the X position of the output head 32 is also detected by the guide rail 38. The position information is detected by the linear encoder 35 engaged with the timing control circuit 55. Thus, the yIN1 position and the Y-axis position of the input drum IO and the output drum 30 are detected by the rotary encoder 13 connected to the rotary shaft thereof, and the position information is also input to the timing control circuit 55. The timing control circuit 55 rotates the pulse motor 33 at a constant speed during image input/output through the computer 51 and the microprocessor 53, and also rotates the pulse motor 14 at a constant speed.
further controls the driving speed of the AD converter 41. The operations of the color processing circuit 42 and buffer memory 43 are controlled in terms of timing.

The above is the general configuration of the image detection system of the present invention. Next, the coordinate relationship between each device will be explained.

First, coordinate transformation on the digitizer 20 will be explained.

The digitizer 20 uses the device-specific origin coordinates and
1, but the origin can be moved to any point by operation, and the coordinates can also be easily rotated.

That is, in FIG. 3, the device-specific origin is O:, the horizontal axis is xD, and the vertical @Y0, and by operation, the new origin is 01, and the new point on X@ is Xl, which is set by the digitizer 20.
After inputting the coordinate values in the device-specific coordinate system for points 01 and Xl to (x: , y: ) and (X ? +
Y? ), any point (x: , y: ) in the device-specific coordinate system becomes a point (xn, yn
) is converted to by the following formula.

However, θ is the straight line O, X, and the device-specific X011il
The angle formed by h is defined as positive in the counterclockwise direction. Therefore, all calculations of the above equation (1) are performed by the computer 51.

Next, management of coordinates on the crowd drum will be explained.

In the input drum IO and the output drum 30, the main scanning (rotation) direction is the y axis and Y glaze, and the sub scanning (traverse feeding) direction is x lid+ and X! It is designated as Fdl. However,
The coordinates of the read head 16 are determined in the timing control circuit 55 by the following method. That is, regarding yIIilII, the output of the rotary encoder 13 connected to the rotation axis of the input drum 1O is input to the PLL (
After resetting the counter at the origin of the y-axis, the X coordinate is determined by counting the output pulses of the PLL circuit. Note that the period of the output pulse of the PLL circuit is
For example, 50 [μ] or 10 [μ] on the input drum lO
The multiplication constant is set so that Further, the X coordinate of the X axis is managed by counting the position of the reading head 16 and output pulses of the linear encoder 17 after resetting a counter at the origin of X@. Further, the X coordinate of the output drum 30 is also managed in the same manner as the input drum. The Y coordinate of the output drum 30 is managed in the same manner as the X coordinate since the input drum 10 and the output drum 30 are rotating synchronously.

Next, the correspondence between the coordinate system of the digitizer 20 and the coordinate system of the input drum 10 will be explained.

The correspondence between the coordinate systems of the digitizer 20 and the input drum 10 is as follows:
This is done using a transparent base 11 as a medium.

That is, register bins 618 and 61B for position fixing are installed on the input drum 10, and a transparent base 11 with register bin holes drilled at positions corresponding to the register bins 61A and 61B is mounted. It has become. Therefore, the input drum 10 is connected to the digitizer 20.
Register bins 62 (or the same planar pattern) are attached at positions corresponding to the register bins 61A and 61B, and the transparent base 11 and digitizer 20 are positioned by the bins.

By the way, in the present invention, two types of input regarding figures such as coordinates are prepared. One is a figure input that specifies the shape of the output screen, and the other is a base document input that specifies which figure on the output screen the color original images A to D for reading should correspond to. Graphic input is an operation in which a graphic is input from the digitizer 20 and the graphic is made to correspond to the screen on the output drum 30, and this operation is similar to the graphic input normally performed in a block drafting machine. In addition, base document input is performed after the coordinates of the transparent base 11 on which a plurality of color originals (A-D) are pasted and the input drum 10 are matched.
Its main function is to correlate the positions and magnifications of each color original picture on the transparent base 11 with the above-mentioned input figure.

Next, the graphic input operation will be explained. In this operation, first, the coordinates of the digitizer 20 and the coordinates of the output drum 30 are correlated. That is, in FIG. 4, 0: is the origin unique to the digitizer 20, X: and Y: are points on the horizontal and vertical axes unique to the digitizer 20, and 0? is the point on the digitizer 20 that corresponds to the origin of the output drum 30, and X? and Y? is a point on the digitizer 20 corresponding to a point on the X axis and a point on Y@ of the output drum 30.

However, O to the straight pass? X? Point 0 so that they are parallel? and X? Set the point 0? If the unique coordinate values on the digitizer 20 are (X: , y: ), then any point (x: l y: ) on the digitizer 20 is a point (xn, y, ) in the coordinate system of the output drum 30. It is converted to . In this way, the coordinates of the digitizer 20 can be converted to the coordinates of the output drum 30.

Therefore, when the output size on the output drum 30 is first designated by the console 50, an output size frame converted at an appropriate ratio is displayed on the graphic display 52. After that, use the digitizer 20 to coat the figure (rectangle 0
When a circle, etc.) and necessary coordinate points are input as a block diagram, the computer 51 calculates the above-mentioned coordinate conversion and magnification conversion for display on the graphic display 52, and the figure is displayed at the specified position and on the graphic display 52. displayed in size. Each time the computer 51 inputs a graphic code and a coordinate point, it controls the graphic display 52 so that the frame and the graphics input so far are superimposed and output. In this way, the hanshita figure (
A rough sketch) is input, but the graphic display 52 is used for visual confirmation by the operator. In this case, when the figures overlap, it is necessary to perform hidden surface processing for the figures as described below.
In step 1, hidden surface processing is performed to create final draft information. If the output screen displayed on the graphic display 52 is, for example, superimposed graphics Gl to G3 as shown in FIG. By performing an input operation such that G2>G3°, hidden surface processing as shown in FIG. 5 (13) is performed.

Next, regarding inputting the base manuscript, see Figure 6 (8) and (B).
Explain with reference to.

The base document is also input via the digitizer 20.
In this operation, first, the coordinates of the transparent base 11 on which the color original pictures A to D are pasted are associated with the input drum IO, and then the respective color original pictures on the transparent base II are input by the above-mentioned figure input operation. The correspondence relationship with the block diagram
Its main function is to perform operations via the console 50. Then, the transparent base 11 on which the plurality of color original pictures A to D are pasted is fixed on the digitizer 20 by positioning with register pins. Then, the coordinate system of the transparent base 11 fixed on the digitizer 20 is converted to the coordinate system of the input drum 10 using the same method as the coordinate conversion from the digitizer 20 to the output drum 30 described in the graphic input operation. Subsequently, the magnification of the previously input block diagram and the coordinates of the original AND on the transparent base 11 is associated. That is, Fig. 6 (A), (
In B), the output figure corresponds to the original picture A, but in order to make the broken line Al in the original picture A correspond to the figure A', the coordinates of one point in the original picture A and one point in the figure A' are correspond,
Moreover, if the magnification at which the broken line in the original image A is enlarged or reduced to the figure A' can be specified, the coordinate relationship is uniquely determined. To do this, for example, one point in the figure A° and one point in the original image A may be made to correspond in coordinates by inputting their positions with the digitizer 20, and a magnification value may be inputted with the console 50. , original pictures B, C, D and output figures B', C',
The same applies to D'.

Next, coordinate management between the coordinates of the digitizer 20 and the coordinates of the input drum 10 and output drum 30 will be explained.

First, the color paper 31 attached to the output drum 30
The position, shape, and size at which the original image is to be output as a layout are input into the digitizer 20 as a block figure, and figures are defined on the coordinate system (block coordinate system) that defines the block figure, and each defined figure is We will discuss how to manage this.

Figures 7 (^) and (B) show input original images too, 20 attached to the input drum IO and pasted on the transparent base 11.
A case is shown in which the images in the diagonally shaded range 101. is the input original image 10
A case will be described in which layout output is performed in the range shown by diagonal lines on the color paper 31 mounted on the output drum 30, that is, the range of the block diagram 101A. In addition, in the following, each coordinate system is defined such that the upper left is the coordinate origin, the direction from left to right is the X axis, and the direction from top to bottom is Y glaze. shall be. Digitizer 2
0 specifies the coordinate origin Og of the block diagram 101 shown in FIG. 7(C) and one point on its Xl+ or YHITlh. This allows the digitizer 20 at each indicated point to
The above coordinate values are input to the computer 51, and the computer 51 calculates the deviation between the coordinates of the digitizer 20 and the coordinates of the designated block diagram. At this time, digitizer 20
When the coordinate origin Og and the point X- on the X-axis of the upper block diagram are input, and their coordinate values are inputted as , the coordinates of the block diagram are changed to x in the x0 direction on the coordinate system of the digitizer 20: , y0 direction by Y8, and further rotated by an angle θ shown by using this point as a reference, the computer 51 recognizes this. Further, the digitizer 20 can detect any point on the block diagram that is read by the digitizer 20.
If the coordinate values on the top are (X'', Y'), the coordinate values (X';', Y';') of this point on the block coordinates are expressed as [×1゛Y71], and in the computer 51, The coordinate values of each figure inputted from the digitizer 20 are converted into coordinate values on the block diagram using the calculation process of the above formula (4).
When the three coordinates of 1A are input, the computer 51 recognizes the figure as a figure converted into coordinate values on the block coordinates by the calculation process of the above equation (4). In this way, the figure 101A recognized as a figure on the block coordinates is further circumscribed by the figure 101A in the computer 51, and
Define a rectangle 102 parallel to YH@, and set the vertex 1028 closest to the origin of the block coordinates of the rectangle as the coordinate origin (
A coordinate system with axes (XK-YK axes) parallel to the XH-YH axes of the block coordinates, that is, a shape coordinate system, is defined, and the block figure 101A is defined as figure 1 on the shape coordinate system.
It can be recognized as 01B. This process is related by the following equation (5). In other words, the coordinate values of the origin O= of the shape coordinate system on the block coordinates are (X^, Y7), and the coordinate values of any point above the block diagram 101 on the block coordinates are (x7, y '+), the coordinate value (x snow, 'r':) of this point on the shape coordinates is rounded off by [x': y; 1].

Conversely, the block diagram 101A is a diagram 10 that passes through the origin O of the shape coordinate system and is inscribed in a rectangle parallel to the xH-yH axis.
1B can also be recognized as a figure translated in parallel to the designated position 102A on the block coordinate system. and,
The conversion from shape coordinates to block coordinates is [x“: Yq
l] is performed. In addition, in the internal processing of the computer 51, the figure 10 inputted from the digitizer 20 is
1A is transformed into figure 1 on the shape coordinate system through the above-mentioned transformation IA.
The block diagram 101Δ can be managed using the graphic information of 01B and the conversion parameters X^ and Y■ for converting the shape coordinate system to the block coordinate system. In this case, if the block coordinates and the digit coordinates (output drum coordinates) on the output drum 30 are in one-to-one correspondence, the block figure information held by the computer 51 is transferred to the color paper 30 mounted on the output drum 3o. It can be reproduced on the coordinates of As a result, it is possible to output an image to the color vapor 31 according to the layout conditions specified by the block diagram of the digitizer 20.

Next, the position of the original picture pasted on the transparent base II.

A method of inputting the shape and size from the digitizer 20, defining an original image on a coordinate system (a coordinate system that defines an original image), and managing each defined original image will be described.

In Fig. 7 CD), attach the transparent base 11 with the original image 100 pasted to the digitizer 20, and, in the same way as inputting the block diagram, determine the coordinate origin ○? of the coordinate system (base coordinate system) on the transparent base 11. The computer 51 calculates the coordinate values on the digitizer 20 of the point X on the x8 axis or the yB axis of the base coordinates.
digitizer 2 in the computer 51.
In the same way as we calculated the conversion parameters θ, X7, Y: for converting the coordinates of 0 to the master coordinates, we found the conversion parameters θ for converting the coordinates of the digitizer 20 to the coordinates of the transparent base +1 (base coordinates).

Find -x::-G'. Then, the position and size of the original image 100 on the transparent base 11 attached to the digitizer 20 are determined by reading the coordinate values on the digitizer 20 of the bending points 103 to 106 on the outer periphery of the original image, and the internal In, θ.

Using the parameters of X : : Y :', the above (
3) and (4), the digitizer 2
The coordinate values on 0 are converted to the coordinate values on the base coordinates, and are recognized as the position, shape, and size of the original image 100 on the transparent base 11. Furthermore, like the block diagram, the computer 51 circumscribes the original image 100 and the base coordinates xll or XB.
A rectangle 110 whose sides are parallel to the axis is defined, and the origin of the base coordinates of the rectangle is 0? Set the vertex 1108 closest to the coordinate origin (
0 points? ), the base coordinates XB-y [A coordinate system with axes (xo-y') parallel to each axis, that is, the original coordinate system, is defined, and the size of the original image 100 on the base coordinates,
The shape can be recognized as a figure 1008 on the original coordinate system. In this process, similar to the process for the block diagram, for example, the coordinate origin O? on the original coordinate system of the original image 100 on the transparent base 11? The coordinate value on the base coordinate of (X
:, Y), then the original image 100 on the transparent base 11 is parallel to the original defined on the original coordinate system in the direction of It is recognized as a result of the edict. The transparent base 11 on which the input document 100 recognized in this way is pasted is attached to the input drum 10.
Since bin holes are provided for attachment to the register bins 81A and 61B of O, the coordinates on the transparent base 11 can be regarded as the coordinates on the human quad drum 10.

As a result of the above processing, inside the computer 51,
The output position, shape, and size of the original image on the output drum 30 and the position, shape, and size of the input document 100 attached to the transparent base 11 on the input drum 10 are recognized.

When outputting an image from the original image +00 to the output drum 30 in the shape specified by the draft pattern 101A, whether or not it is necessary to define the image output range and output magnification on the input document will be explained.

By the way, when inputting to the block diagram 101, the console 50
If the output magnification S is specified in advance by
Original image shape 100A defined on the original coordinates shown in D)
A block diagram 101B defined on the shape coordinates shown in FIG. 7(C) is scaled and projected onto the document coordinates.

As a result, as shown in FIG. 8, the coordinate value (x':, y';
) on the document coordinates (X?, Y) is shown as [xC:Y: 11]. At this time, the states of the input document 1008 and the draft figure 101G defined on the document coordinates are converted from the document coordinates to screen coordinates and displayed on the screen of the graphic display 52. However, since the block diagram defined on the document coordinates displayed at this time has no established correspondence with the image output range, the digitizer 2
The coordinates are read on the input document pasted on the transparent base 11 attached to the
) using the coordinate transformation formula shown in the equation, the parameters are θ', -X
Convert to coordinate values on the original coordinates as ::-Y Sn'. Then, convert it to screen coordinates and use the digitizer 20.
The cursor is displayed on the screen corresponding to the specified position from , and the digitizer 20 is moved to the specified position as shown in FIG.
Specify the reference point SPI8. Similarly, on the input document attached to the digitizer 20, the input source Jq1 corresponding to the reference point Sl'l of the block diagram 101C shown in FIG.
Specify the reference point STI of 00A. With this specification, the reference point SPI of the specified block diagram 101G on the original coordinates
The coordinate values (xg, G) of the input document are translated to the coordinate values (x:, y: ) of the reference point STI of the input document, and the input document 100 is
An image output range 101E on A is defined.

At the same time, the reference points SPI and STI are also displayed on the screen of the graphic display 52, and the block diagram 1
010 reference point SP+8 is translated in parallel to the reference point 5TIA of input document 100[1, and the image output range+8 on the input document is
01E is displayed by default. Through the above processing, for example, the coordinate value (x':, y) of an arbitrary point on the block diagram 101B defined by the shape coordinates is changed to the coordinate value (X(:, Y) of the document coordinate.
7') using the following formula.

[X” Y? 1] Tatami, ΔX, ~X knee X: +Δy1・Y: −y
− is. When the block diagram 101B defined in the shape coordinates is converted into base coordinates and defined by such coordinate change processing, the block diagram 101E defined in the base coordinates indicates the image output range of the input document 100.

In this case, the coordinate origin o= of the block diagram 101B in the shape coordinates, that is, the coordinate value of the point BSI of the base seat corresponding to the point 102A in the block coordinates is xB−x:+ΔXl+
YB・Y: Indicated by +Δy1. At this time, point 102A
The coordinate value on the block coordinate value is indicated by XH-X': , Y''Y^.

On the other hand, if the output magnification S is not specified when inputting the draft figure 101A, consider a magnification (for example, 70 zero) that is smaller than the original image defined in the document coordinates. In other words, the maximum values of the coordinate values of the document 100A defined on the document coordinates in the x0 glaze and y6 axis directions are xg and Ys,
The maximum value in the xKItiIIl and ylt axis directions of the coordinate values on the graphic of the block diagram 101B defined in the shape coordinates is x;
and Y; Select the magnification S that becomes when the pages are bound, and define the block diagram 101B on the shape coordinates on the document coordinates. Through this process, the coordinate values (xg, y:) of the document coordinates corresponding to the coordinate values (x;, y': ) of an arbitrary point on the block diagram 101B on the shape coordinates are as follows: [×cy yC: 1 ] will be accepted.

In this way, the shape 100A of the original picture and the block diagram 10
The state defined as 1G is converted from the original coordinates to the screen coordinates of the graphic display 52 and displayed on the graphic display 52. However, since there is no instruction regarding the correspondence between the output magnification and output range of the displayed block diagram 101D and original image 100B, the coordinate values of the input document on the transparent base 1 attached to the digitizer 20 are read, and the coordinate values are read. By the coordinate transformation of equations (3) and (4) above, the parameters are θ', -X:', -Y
:' to find the coordinate values on the original coordinates. Then, the cursor is displayed on the screen at the position specified by the digitizer 20 after converting it into screen coordinates, and the block diagram 10 is displayed as shown in Figure 1O CB).
Move the cursor to the 1G reference points SNI and SN2 and designate these as the reference points. Similarly, in the input document on the transparent base 11 attached to the digitizer 20, the reference points PN1, . Specify PN2. With this designation, the computer 51 selects the block diagram 1 on the original coordinates.
01G reference points SNI, SN2 and input original +00
The reference points PNI and PN2 are made to correspond to the reference points PNI and PN2. Therefore, the coordinate values of the reference points SNI and SN2 of the block diagram 101G and the reference points PNI and PN2 of the input document 100A are set to 5NI-
(X+o, Y+:), SN2・(X+?, Y+?)
, PNI-(X+':, Y+:), PN2- (
When X+:, Y+:), the amount of parallelism Δx2.
Δy2 and magnification S2 are as follows.

In this way, the magnification of the block diagram 101 (:) on the original coordinates is converted and translated. As a result, the coordinate value (x'
:, y'; ) on the original coordinates (
y;) is [X: y: l] From the above, each coordinate value (
X enemy, y'l:) is [x? y': t]. As a result of the above, the block diagram 101 on the original coordinates
c is a figure 101 that corresponds to the shape 1008 of the original.
Converted to H. This situation is shown in Figure 1O (A). This result is converted into screen coordinates and displayed on the graphic display 52, and the displayed block diagram 101E
It is confirmed whether or not the original image 100B is in the desired positional relationship. This state is shown in FIG. 1O (B). If they are not compatible, the reference points SNI, SN2 .
Instruct the correspondence between PNI and PN2 again. In addition, the first
0 (A) and (B) show the relationship between the original coordinates and the screen coordinates for the original image 100, and the same is true for the original image 200.

Through the coordinate conversion process, the block diagram 101B defined in shape coordinates is converted to base coordinates, and the block diagram 101E defined in base coordinates indicates the image output range of the input document. The output magnification S at this time is 5=S2, and the coordinate origin of the block diagram 101B in the shape coordinates is 0s,
In other words, the coordinates of the point 11S1 on the base coordinates corresponding to the point 102A on the block coordinates are X'-X:"ΔX2, YB-
Y:"J y2 Tor. The coordinate values of the origin 0= on the block coordinates are XH-X': , Y'-Y':.

In this way, the position and shape of the image output to the output drum 30 specified by the input of the block diagram 101A, and the image output range and output magnification when the original image 100 pasted on the transparent base 11 is attached to the input drum IO are determined. It is decided. The origin 1028 on the block coordinates corresponding to the shape coordinate origin 0= to convert the block diagram 1018 on the shape coordinates to the block diagram 1018 on the block coordinates, and the image of the original drawing on the base coordinates. The coordinates are associated with the origin BSI on the base coordinates for correspondence with the output range.

Coordinate conversion and coordinate management between devices are performed as described above. Next, the operation of the image attendance system of the present invention will be explained.

Using the digitizer 20 and console 50, the graphic code and position information necessary for the layout of the output image are input into the computer 51, and the computer 51 generates a graphic according to the input graphic information and displays the generated graphic data on a graphic display. 52 for display.

Then, the operator judges whether the figure is good or bad while looking at the screen displayed on the graphic display 52, and if there is any correction or addition, he or she makes the correction using the digitizer 20 and the console 50. It should be noted that the input of the block diagram is similar to that of a commonly used block drafting machine, and it is also possible to use a Lite Ben.

Next, the layout output color original images A to D are pasted onto the transparent base 11, and the transparent base II is set at a predetermined position on the digitizer 20. Then, the color original pictures A-D corresponding to the input figures described in -B are transferred to the digitizer 2.
0 and key operations on the console 50, hidden surface processing of figures and color original A-
Specify the output range for D. Here, the output range is specified by specifying two diagonal points in the case of a rectangular figure, and by specifying the center point in the case of a circular figure. Furthermore, input the necessary magnification to make the color original image A to D correspond to the figures A to D on the output screen, and at the same time input the necessary magnification for color correction processing and sharpness emphasis 1 gradation conversion processing. Processing condition parameters are input through the console 5o.

Next, the computer 51 calculates the starting position Y〒 and ending position Y7 of the color original picture CP on the output drum (screen) according to the main scanning line x 1, as shown in Fig. 1I, for each input graphic unit. Store it in a storage device such as a magnetic disk.

That is, first, the X-axis position X1 where the scanning line in the main scanning direction crosses the color original image CP is stored, and the starting point Y〒 and the ending point Y on the Y-axis where this scanning line x1 passes over the color original image CP are stored.
Store 7. Similarly, for the next scanning line x2, store the X-axis position X2 and the start point YH and end point Y: for the color original image cp, and similarly store the X-axis position and the start point and end point of the color original image cp. Store. Therefore, the graphic data of the color original picture CP stored in the storage device is as shown in Table 1 below for the example of FIG.

The graphic data of such color original images are stored sequentially for each original image pasted on the transparent base II.

Next, the transparent base 1 pasted with color original pictures A-D
1 is mounted on the input drum IO by positioning it using the register bin 61A61B. However, the motor 12
By driving the input drum 1° (output drum 30
) is rotated in one direction, and a rotary encoder 13 is attached to the rotating shaft of the input drum 10, and its output pulses are sent to two address registers in a timing control circuit 54, which is stored in a microprocessor 53. It is now entered into One address register manages absolute coordinates in the rotation direction (main scanning direction), and the other address register stores relative coordinates of input pixels. Here, absolute coordinates and relative coordinates will be explained. The absolute coordinates are used to manage the coordinates of each turnout quadrum, and are counted based on the origin of each turnout turnout. The aforementioned BSI, BS2
．． Points such as 102Ay2028 are managed using these absolute coordinates. It is also used to control the coordinates of output pixels as shown in FIG. 13 (CB).

On the other hand, relative coordinates are used for managing input pixels. In Figures 13 (8) and (B), in the device described here, the output pixel size is constant, and the magnification conversion is performed by varying the sampling pitch of the input pixels while keeping the same size on both the x and y axes. It is done.

In other words, the size of the input pixel is changed.

The sampling timing control of the input pixels whose sampling pitch is varied is performed using relative coordinates. Note that the magnification conversion method in the yITIh direction may be the one normally used in color scanners, and the magnification conversion method in the X-axis direction of the input drum IO and the output drum 30 is performed by driving the pulse motor 33 on the output drum 30 side at a constant speed. This is done by changing the rotational speed of the pulse motor 14 on the input drum 10 side. Therefore, the positions of the reading head 16 and the output head 32 in the sub-scanning direction are determined by adjusting the outputs of the linear encoders 17 and 35 to the timing control circuit 5.
This is determined by counting the address registers in 4.

Here, if the reading head 16 of the input drum 10 is X away from the start position SP, and the output head 32 of the output drum 30 is xl away from the start position SP, and if the magnification is M, then the reading head 16 is During the time it takes to move by X, the output head 32 will move by M-x. In other words, the ratio of the distance traveled by the reading head 16 and the output head 32 per unit time in the sub-scanning direction is the magnification M. However, the control method differs depending on the magnitude relationship between tXI, x, and 7M, and when ×1 ≧ (XI/M) (15), as shown in Figure 12 (A), XI/
After controlling the head 16 to move independently to the reading position by M), the reading head 16 and the output head 32 are controlled to move simultaneously. In this way, when the reading head 16 comes to the start position, the output head 32 is also at the start position SP, and synchronization in the sub-scanning direction can be achieved. In addition, in the case of x+< (x, / +4) (16), as shown in Figure 12 (B), (X, -M・×
1) The output head 32 is controlled to move independently 8 times, and then the reading head 16 and the output head 32 are moved simultaneously.

On the other hand, management of input and output image information in the main scanning direction is performed as follows. Figure 13 (8), (B)
As shown in , point P (Xl, 3'1) is
The image on O is the point closest to the origin of the circumscribed rectangle of the figure to be input, and is expressed by relative coordinates normalized to a predetermined unit of pixels. Then, point Q (Xl, Yl
) is expressed in absolute coordinates standardized to a predetermined unit of pixels on the output drum 30. In this way, the pixel points of the input/output image can be represented by the lattice points shown in FIG. 13 (8), CB). Then, after the density pixel data converted into a digital quantity by the AD converter 41 is processed by the signal processing circuit 42, it is incremented from when the y-direction address register of the input drum 10 becomes "yl". The starting point and ending point are sequentially allocated to the buffer memory 43 at the appropriate timing. In addition, the buffer memory 43
When using in output mode, it becomes effective from the point when the address register becomes 'Y+J in the Y direction, and controls to output pixels from the starting point Y〒 to the ending point Y〒 with Yl as the origin. . The buffer memory 43 has two lines for each line, and when one is used in the input mode, the other is in the output mode. Therefore, the output image is output with a delay of one line compared to the input image.

In the above-described embodiment, there are four types of input original images A to D, but the shape and number of input original images are arbitrary, and the layout of the output image can also be input in any shape. In addition, although color correction and gradation conversion are performed digitally in the above example, they can also be performed analogously, and reading input images and outputting layout images are not performed on a cylindrical drum but on a flat surface. A scanning type scanner is also possible. Further, the output image may be a color image, a monochrome image, or a halftone image using a line processing circuit and a halftone control circuit, and the recording material may be a color positive film or a monochrome film. Furthermore, although in the above description the magnification of the image output is controlled by changing the scanning speed at the input end, it is also possible to change the scanning speed at the output side.

In the above description, the image signal AD-converted by the AD converter 41 is color-processed by the color processing circuit 4, and the color-processed signal is stored in the memory 43. It is also possible to store it in a memory and perform color processing in a color processing circuit when outputting it.

Next, image processing (color, !
! We will explain how to automatically set the conditions (\acuteness 1 gradation processing).

In order to automatically set each of the above conditions, two types of information are used: attribute information of the input color original image and rough scan data. Attribute information of the input color original image is input in a base original input step that establishes a correspondence between each original image and the position 1 magnification of the output figure.

In this step, the digitizer 20 and the menu sheet or function keyboard placed on it are used to determine the type of sensitive material, picture classification, highlight point coordinates, shadow point coordinates, skin color point coordinates, and gray point of the input color original image. coordinates, background color point coordinates.

Enter information such as color cast amount, one-color correction amount, and unsharp mask amount, which curve to be encountered among the preset gradation setting curves.

On the other hand, the rough scan data is the B (
Blue), G (green), R (red)? This information is obtained as follows. 411 is attached to the input drum 10, the output range of each color original is determined by the coordinate management method described above, so the drum position control information as shown in FIG. 11 and Table 1 is transferred to the computer 51. generate. At this time, the sampling interval of rough scan data may be every 500 [μm],
[If the sampling interval is 1 μm, the amount of pixel data will increase, which is not preferable in terms of calculation processing time. The pixel data sampled in this way is stored in an external storage device such as a magnetic disk of the computer system. As described above, the attribute information and rough scan data of the color original image can be obtained, but obtaining this information does not require a high level of skill, and anyone can perform the above operations with simple training.

Next, the advantages of using the attribute information of each color original image will be described.

l) Type of sensitive material for color originals: Since the spectral characteristics and base density of dyes of various types of sensitive materials differ, it is necessary to change color processing parameters depending on the type of sensitive material.

2) Image classification Parameters for gradation processing, one-color processing, and sharpness processing vary depending on the image, such as a portrait centered on a person, a landscape, a still life, etc.

For example, if the sharpness processing is too strong for a picture centered on a person, the graininess of the skin will become large, which is undesirable, so for such a picture, the sharpness processing must be made weak. Furthermore, the method of calculating parameters for gradation processing may differ for each classified picture. For example, in images centered on people, it is important to reproduce the tone of the skin,
For other patterns, parameters are calculated with emphasis on reproducing the tone of the entire image. Determining the pattern from the pixel data of the image is extremely difficult, and even using techniques such as pattern recognition, there is a possibility of errors. This kind of fF
U is obvious to humans when they look at the picture, and it is advantageous for humans to make judgments and input them because there are fewer mistakes and it is instantaneous and faster.

3) Position coordinates of the highlight point and the - point: By inputting the highlight point position coordinates of the color original,
The density value corresponding to the coordinates in the scanned image data can be calculated, and this value can be used as the highlight setting density.

The shadow density can be similarly set for the shadow point. In this way, the density of highlight points and shadow points can be set from within the image, and the gradation characteristics can be varied.

4) Positional coordinates of skin color points, gray points, and background color points: As described above, the respective densities of skin color and gray points can be determined, and using these densities, skin color and gray points are displayed on the output image. The image quality of the output image can be improved by setting the color processing and gradation processing parameters so that the images are flesh-colored and gray, respectively. The same goes for the background color, and by setting parameters to perform gradation processing so as not to place emphasis on the selected background color, the gradation of important parts of the color document can be adjusted. Processing is performed to improve tone reproduction.

5) Color cast amount: By inputting the color cast amount of the input color document,
Performs gradation conversion between input and output. In this case, tone conversion parameters are set so as to maintain the gray balance of the output image.

6) Selection of gradation conversion curve: Looking at the color original, the operator inputs a curve that approximates the desired gradation conversion characteristics. With this input, when the gradation is automatically set, an image close to that specified by the comparison operator is output, and the image quality of the output image is improved.

f) Unsharp mask amount (IIsM): The operator inputs the unsharp mask amount to be added to the color original. Based on this input, an image with sharpness that meets the operator's wishes is output.

8) Color correction amount: This is a parameter that specifies the strength of color correction, and the degree to which the hue in a color document is made more colorful can be varied by the color correction parameter.

By the way, Fig. 14 shows what kind of calculation processing is used to generate condition setting parameters from input information. No. 57-63423, END is the equivalent neutral concentration (
Equivalent JJeutral Densi
ty).

The calculation process will be explained according to FIG. 14. From the skin color point coordinates and the rough scan data, the three color densities of the skin color corresponding to the skin color point coordinates in the rough scan data are determined. In this case, it is more desirable to calculate the three color densities as average values of rough scan data near the skin color point coordinates. Skin color density calculation is performed as described above, and each density calculation for background color, highlight, and shadow gray is also performed in the same way as skin color density calculation, but if coordinates are not input, density calculation is omitted. . The END setting process takes the sensitive material type of the color original as input and outputs the END matrix, but since the ENI) matrix is different for each sensitive material type,
Find and register the ND matrix. Here, the type of sensitive material is input, and a process is performed to extract the registered END matrix.

The C5M calculation process is performed using the magnification, unsharp mask amount, and pattern as input, and if the unsharp mask amount is specified, the USM condition setting parameters are set with priority given to the unsharp mask amount over the magnification and pattern. calculate. Furthermore, if the unsharp mask amount is not specified, the tlsM condition setting parameters are calculated from the magnification and the picture. Then, the image, skin color density calculation results, and rough scan data are input to perform skin color cumulative histogram calculation processing. Skin color cumulative histogram calculations are performed when skin color point coordinates are specified, and when skin color points are not specified but a person-centered image is specified.In other cases, skin color cumulative histogram calculations are performed. Don't do it. If there is a skin color point coordinate instruction, the skin color density calculation result is calculated, and if there is no skin color point coordinate instruction, the skin color density calculation result is calculated based on a predetermined value.
Cumulative histogram of skin color point data extracted from rough scan data by a method using a probability ellipsoid shown in Publication No. 4 and Japanese Patent Application Laid-Open No. 156625/1982 or a method using a rectangular parallelepiped centered at the above value. Calculate. In addition, the overall cumulative histogram calculation process is performed using the background color density calculation result and rough scan data as input, but if there is no background color point instruction, all the rough scan data is used to calculate the cumulative histogram. and,
If there is a background color instruction, cumulative histogram calculation processing is performed using the data set obtained by removing the background color from the rough scan data using the same method as the skin color extraction described above.

On the other hand, the highlight point/shadow point calculation process is performed using the highlight density calculation result, shadow density calculation result, and overall cumulative histogram calculation process result as input. If there is a highlight point coordinate instruction and a shadow point coordinate instruction, the highlight point and shadow point are set based on the calculation results of the respective densities.If there is no instruction, for example, the density corresponding to 164 in the overall cumulative histogram is set as the highlight point. By setting the density corresponding to 99% as the shadow density, highlight point/shadow point calculation processing is performed.

On the other hand, the color cast amount calculation process is performed using the gray density calculation result and the color cast amount as input, but if there is neither a gray point instruction nor a color cast amount instruction, the calculation process is performed assuming that there is no color cast. Then, if the amount of color cast is specified, the amount of parallel shift of the gradation curve is calculated to correct the color cast, and if the gray point coordinates are specified, the density of the gray density calculation result is calculated. Calculate the amount of parallel shift of the gradation curve so that the combination becomes gray. moreover,
The gradation calculation process is divided into two steps: gradation conversion parameter setting and gradation table generation, and highlight density, shadow density, and curve number are used as the gradation conversion parameters.

The highlight density and shadow density are obtained from the highlight point/shadow point calculation processing results described above. Then, by inputting the image, skin color cumulative histogram, overall cumulative histogram, and curve number, it is determined which curve is most preferable for gradation reproduction among the ten standard curves set in advance, and the selected curve is selected. A gradation table is generated by performing linear transformation (parallel movement, enlargement, and reduction) using the color cast amount calculation processing results, highlight density, and shadow density data.

Next, a method for generating a gradation table will be described.

FIG. 15(8) shows a group of standard curves set in advance, and FIG. 15(B) shows a one-tree standard curve fo(D) selected as described above. The dashed-dotted line in FIG. 15(C) is this standard curve f. (D), and the solid line is the curve f obtained by linearly transforming the input end of the standard curve from the highlight l-density and shadow density data. (aD+b). In FIG. 15(C), curve f. (DJ and fo(a
D+ b) is each highlight density DHO+D,
equal values d. , and the same value dS is taken for each shadow density Dso and Ds. In other words, from this equation holds true. Then, this is calculated for the coefficients a and b. The highlight density DIIO and shadow density DSo of the g curve and the highlight 613 degrees DH to be set.
and shadow density DS, the above (21), (22
), and calculate the gradation table g (DJ) according to the following formula.

g(D)-fo (aD+b) (23) In this way, it is possible to maintain the characteristics of the standard curve and obtain a gradation table having the desired highlight density and shadow 4 degrees. I can do it.

On the other hand, the color correction calculation process is performed by inputting the pattern one color correction amount and the gradation calculation process result. In other words, depending on the pattern, it may be better to make the colors more vivid, or the opposite may be the case when determining the degree of color correction. Since the color tends to become muddy, the color correction parameters are determined so that the colors become vivid. The color correction amount data determined in this way is converted into a color correction parameter. Finally, picture 1
The color correction parameters are weighted and averaged based on the weight of the color correction amount and the gradation calculation processing result.

As described above, each parameter of color correction, sharpness intensity, and gradation processing is determined, and each determined parameter is used immediately before the image is output or in the memory for each graphic position at which the image is output to the output drum 30 surface. Immediately before being stored in the color processing circuit 43, the microprocessor 5 is stored in the computer 51.
It is set via 3.

After this, the attendance drum is controlled by fine scan as described above. In this way, one figure is controlled, but since this operation can be performed one after another in time order, a layout output image can be automatically obtained without operator intervention.

As described above, according to the present invention, it is no longer necessary to create a draft drawing board, paste after mask creation registration (positioning), and multiple exposure, which were conventionally done manually, By inputting the position information of the color original image and the processing condition parameters of each color original image, all subsequent operations are automatically controlled for each output figure in chronological order, resulting in significant labor and time savings. , resource saving can be realized. Additionally, unlike the total layout retouching system, there is no need for a large-scale external storage device to store the image information of the original color drawings or a high-speed central processing unit for editing processing, resulting in an inexpensive and high-performance system. Can be configured. In addition, although the case where a color image is output has been described above, the color image output can be used in a printing plate-making process by creating color separation plates using a color scanner again.

Furthermore, color images themselves can be used in a wide range of applications, such as in the art field.

[Brief explanation of drawings]

FIG. 1 is a block diagram showing an embodiment of the present invention, FIG. 2 is a diagram showing how the input (output) drum scans, and FIG.
Figures 5 and 4 are diagrams for explaining the relationship between digitizer coordinates and output drum coordinates, Figures 5 (8) and (B) are diagrams for explaining ground processing, and Figures 6 (A) and (B) are diagrams for explaining the relationship between digitizer coordinates and output drum coordinates. FIGS. 7 to 10 (Δ) are diagrams for explaining the relationship between the input original image and the layout image. (B) is a diagram for explaining the coordinate relationship between each device, Figure 11 is a diagram for explaining the input image and image storage state, and Figures 12 (A) and ([1) are for the input drum. A diagram to explain how to synchronize the output drum and output drum.
Figures 13 (A) and (B) are diagrams showing input/output images and human output of image information, Figure 14 is a block diagram showing a method of generating image processing condition setting parameters, and Figures 15 (Δ) -
(C) is a diagram showing the agricultural degree relationship between an input image and an output image for creating a gradation table. lO...Input drum, 11...Color original picture, 12.
...Motor, 13...Rotary encoder, 14
...Pulse motor, 15...Lead screw, 1
6... Image reading head, 17... Linear encoder, 18... Guide rail, 20... Digitizer (
graphic input device), 3o...output drum, 31...
Color paper, 32... Output head, 33... Pulse motor, 34... Lead screw, 35...
Linear encoder, 35... Guide rail, 4o...
- Logarithm circuit, 41... Eight-digit converter, 42... Color processing circuit, 43... Buffer memory, 44... DA converter, 45... Modulator, 46... Laser oscillator, 50
...Console, 51...Computer, 52...
- Graphic display, 53... Microprocessor, 54... Hasslein, 55... Timing control circuit. Cleaning of the drawing (no change in content) Written amendment for memorial service procedure (method) Indication of the case 1999 Patent No. 293725 2, Name of the invention Image input/output device Correction person Relationship with the case

Claims (1)

[Claims] 1. Using an image scanning recording device with fine scan and rough scan functions, multiple color original images are enlarged or reduced to a specified magnification for each original image, color separated and inputted, and the color separated signals are color processed and output to the output drum. It is an image input/output device that outputs images laid out on a recording surface in time sequence, and includes a digitizer for inputting graphic information, a console for inputting data commands, etc., and a digitizer for inputting graphic information and commands inputted by the digitizer and console. an interactive graphic display for displaying information such as the type of photosensitive material, pattern classification, highlight point coordinates, shadow point coordinates, skin color point coordinates, gray point coordinates, and background color point coordinates of the color original image; Input the color correction amount, unsharp mask amount, color cast amount, and magnification of the image to be output for each original image, and
Various preset gradation setting curves are selected, and various condition settings for color correction processing, sharpness enhancement processing, and gradation conversion processing are automatically performed based on the color separation signals obtained by the rough scan. An image input/output device characterized by: