JPH06141169A - Picture communication equipment - Google Patents

Abstract

PURPOSE:To improve a picture processing speed by reducing the distortion of pictures accompanied with resolution conversion, suppressing the notches of a contour line (especially the notches of a hatched line part) at the time of a magnifying processing, also facilitating the ornaments of characters and lines and further, independently and parallelly performing processing of contour coordinate data and encoded picture data. CONSTITUTION:A picture area separating circuit 200 separates binary raster picture data inputted by an image scanner 100 between a binary area and a halftone area and a smoothing/coordinate conversion circuit 900 converts the separated binary raster picture data of the binary area to the data string of a contour coordinate. A raster picture variable power circuit 1600 varies the power of the converted data string and the binary raster picture data of the halftone area separated by the picture area separating circuit 200 respectively by similar magnification. A CPU 1200 adds first identification information to the variable power result of the binary area and adds second identification information to the variable power result of the halftone area and a CCU (communication control unit) 1300 transmits transmission data to which the first and second identification information is added.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an image communication device such as a facsimile device.

[0002]

2. Description of the Related Art Conventionally, in this type of image communication apparatus, each pixel of an image read by an image image scanner and raster-scanned is represented by binary data of white or black. When communicating binary raster image data, the binary raster image is encoded and compressed by MH (Modified Huffman), MR (Modified Read), and MMR (Modified Modified Read) to perform transmission / reception. It was Therefore, in the conventional facsimile apparatus, as the internal representation of the image, the image data is treated as binary raster pixel data (0 or 1 indicates whether each square in FIG. 8 is white or black) and G3 fine ( Main scan 8 pel / mm, sub scan 7.7 line / mm)
pel / mm, sub-scan 3.85 line / mm) When sending to a receiver that only has a recording resolution, the resolution of the read image on the sending side and the resolution on the receiving side are different, or the received image of B4 size is If the received image and the output image have different paper sizes so as to be output on A4 recording paper, MH, MR, M
MR-encoded image data is converted into binary raster image data, and scaling processing is performed by simple double writing or thinning processing for each pixel.

[0003]

However, in the above-mentioned conventional example, when recording low-resolution image data such as recording a 200-dpi image on 400-dpi recording paper as a high-resolution image, a simple pixel is used. Since duplicate processing is performed for each, the jagged lines on the diagonal lines are visible, and G
100% conversion of an image with a resolution of 3 fines into an image with a resolution of 200 dpi in both G4 standard main scanning and sub scanning
In the resolution conversion in the vicinity, the image is distorted because the resolution conversion is performed by the overlapping thinning process for each pixel. Further, regarding the resolution conversion of the image, the binary raster image data is only treated as bit data of 0 or 1.

The present invention has been made in view of the above-mentioned drawbacks of the conventional example, and an object thereof is to reduce image distortion caused by resolution conversion and to make a jagged contour line (especially a slanted line) during enlargement processing. To suppress the jaggedness of the
An object of the present invention is to provide an image communication device capable of easily decorating characters and line drawings, and further processing contour coordinate data and coded image data independently and in parallel to improve the image processing speed.

[0005]

[Means for Solving the Problems]
In order to achieve the object, an image communication apparatus according to the present invention is, in an image communication apparatus having a communication function, a separation means for separating input binary raster image data into a binary area and a halftone area, and the separation means. Converting means for converting the binary raster image data of the binary area separated by the means into a data string of contour coordinates; first scaling means for scaling the data string converted by the converting means; 1st addition means for adding the first identification information to the result of the magnification change of the first magnification change means, and binary raster image data of the halftone area separated by the separation means as the first magnification change means. Second scaling means for scaling at a similar magnification, second adding means for adding second identification information to the scaling result of the second scaling means, the first,
And a transmitting unit that performs a transmitting process based on the result of the second adding unit.

[0006]

According to this structure, the separating means receives the input 2
The value raster image data is separated into a binary area and a halftone area, and the conversion means divides the binary area into two areas.
The value raster image data is converted into a data string of contour coordinates, the first scaling means scales the data string converted by the conversion means, and the first addition means scales the result of the first scaling means. To the first rasterizing information, and the second scaling means converts the binary raster image data of the halftone area separated by the separating means into the first
The second adding means adds the second identification information to the result of the scaling of the second scaling means, and the transmitting means performs the first and second adding means. The transmission process is performed based on the result.

[0007]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings. FIG. 1 is a block diagram showing the internal configuration of an image communication apparatus which is an embodiment of the present invention. In the figure, 100 is an image scanner,
Image data read in raster scanning order by a photoelectric conversion device such as a CCD is A / D converted, and the A / D converted digital multi-valued data is binarized by a binarization circuit and is stored as binary raster image data in a bus. Output to 1700-1. The binary raster image data output to the bus 1700-1 is once stored in the memory 300. Reference numeral 200 denotes an image area separation circuit, which is raster-scanned multi-valued data (for example, 1 pixel 256) input from the image scanner 100.
In the case of gradation, 8 bits / pixel) is input, the halftone area and the character / line drawing area are separated, and an image area separation table for each image area is created in the memory 300.

Reference numeral 700 denotes a contour extraction circuit, which is a memory 300.
The binary raster image data stored in the memory and the image area separation table for image area separation, if necessary, are read and stored in the memory 11
A contour coordinate data string is created at 00. Reference numeral 800 denotes an encoding / decoding circuit, which is used for the memory 300 when performing encoding processing.
Read the binary raster image data stored in
The binary image such as MR and MMR is encoded and compressed, and the encoded image data is stored in the memory 1100. When performing the decoding process, the encoded image data accumulated in the memory 1100 is input and the decoded image data is stored in the memory 300.
Outputs value raster image data. A smoothing coordinate conversion circuit 900 inputs the contour coordinate data string accumulated in the memory 1100 and performs various coordinate conversions (multiplication of magnification, x coordinate y).
(Coordinate exchange) and smoothing processing for smoothing the jaggedness of the contour at the time of enlargement / reduction, and the contour coordinate data string after conversion is created in the memory 1100.

Reference numeral 1300 is a communication control circuit, which is a memory 11
The image data (outline coordinate data string or image coded data, and if necessary an area separation table) stored in 00 is input, and the image data is sent to the communication line. In addition, the image data received from the communication line is stored in the memory 1100. Reference numeral 1000 denotes a binary image regeneration time, which is a memory 1
The contour coordinate data string accumulated in 100 is input, and a binary raster image (bitmap image) in which a contour line is drawn is created in the memory 300. 400 is an intermediate coating circuit,
A binary raster image (bitmap image) in which the contour line is drawn, which is created in the memory 300, is input, the inside of the contour flat area is subjected to intermediate coating, and output to a FIFO (first-in first-out circuit) 500.

Reference numeral 500 denotes a FIFO memory, which is a printer 6
Printer 600 that regains horizontal and vertical synchronization with 00
The binary raster image data is output to. 600 is LBP
With a printer such as (laser beam printer), FIF
The binary raster image data resynchronized in O500 is input and the image data is recorded on the recording paper. 1300 is CCU
The (communication control device) controls communication with the network via the line.

FIG. 7 is a diagram for explaining a contour coordinate data string according to this embodiment. In the figure, L no is the total number of contour vector closed loops, l is the closed loop serial number, p no indicates the total number of contour coordinate data string l closed loop. next,
The flow of image data of the image communication apparatus in this embodiment will be described. 2 and 3 are flowcharts for explaining the transmission operation, FIGS. 4 and 5 for the reception operation, and the copy operation of FIG.

First, the data flow in the transmission operation will be described in detail with reference to the flowcharts of FIGS. 2 and 3 (transmission operation). 2 and 3, in the image reading in step 21, the image is read by the image scanner 100 as binary raster image data and stored in the memory 30.
Transfer to 0 and store. At this time, if the image data is not immediately transmitted except for the immediate transmission, the image data stored in the memory 300 is encoded as shown in steps 29, 30, and 31 for effective use of the memory. The decoding circuit 800 performs coding compression, and the memory 1100
The image data is stored as an image file in the memory, the decoding process is performed at the time of transmission, and the binary raster image is expanded in the memory 300. At the same time when the binary raster image is stored, the image scanner 100 converts the multivalued raster image data into the image area separation circuit 20.
Output to 0. The image area separation circuit 200 determines for each block whether it is a character / line drawing area or a halftone area in the image, and the area determination table files indicating the characteristics of the image area in the memory 300 have the same file attributes and are taken out when necessary.

Further, at this time, when it is clear whether or not the pseudo halftone is used by selecting the halftone button which is a selection button for selecting whether or not to perform the pseudo halftone processing at the time of binarization, if it is clear whether or not the pseudo halftone is used. The image area separation table is not created, and only the image attributes of one page of pseudo halftone or character / line drawing are recorded. In step 23, the r area determination table of the character / line drawing area processing or the pseudo halftone area is read from the memory 300, and if it is the character / line drawing area, step 2
If it is the halftone region, the process proceeds to step 32, and if scaling is required, the scaling is performed for each raster, which is the scaling process of the binary raster image, similarly to the conventional G3 and G4. And the image data is transmitted.

At this time, when transmitting the image area determination table, the area determination table of the memory 300 is protected and transferred to the memory 1100 for transmission. In step 24, as the image data, the receiving side has a function of regenerating the binary raster image from the contour coordinate data sequence, and when the contour coordinate data sequence can be transmitted, the information is notified from the receiving side to the transmitting side. Then, the process proceeds to step 25. The receiving side is the conventional G3
Alternatively, if it is configured only with the G4 function, the process proceeds to step 36. If scaling is required here, step 37
Then, the scaling processing is performed by the contour coordinate data sequence.
If the scaling is not necessary, the process directly proceeds to step 43 and is transmitted after the encoding process. In step 37, the binary raster image data stored in the memory 300 is input to the contour extraction circuit 700, the binary raster image data is converted into a contour coordinate data string, and then the contour coordinate data string is stored in the memory 1100. If it is necessary to enlarge the contour coordinate data string stored in the memory 1100 in step 38, the process proceeds to step 39, and otherwise proceeds to step 40.

In step 39, a contour coordinate data string is input from the memory 1100, a contour smoothing process described later is performed, and the process proceeds to step 40. In step 40, each coordinate value is multiplied by a scaling factor and converted into a coordinate value that matches the transmission resolution. In step 41, the binary image regeneration circuit 1000
Then, the converted contour coordinate data string is transferred from the memory 1100, and a contour line is drawn on the bitmap image in the memory 300. In step 42, the image bitmap in which the contour line is drawn in the intermediate coating circuit 400 is fetched for each raster and developed in the memory 300 as binary raster image data in which the intermediate coating is performed.

In step 43, the coding / decoding circuit 800 performs coding according to the communication mode and transfers the result to the memory 1100. The decoded image data transferred to the memory 1100 is CCU130 in the case of G4.
Sent by 0. In the case of G3, it is transmitted by a modem (not shown). Hereinafter, the processing after step 25 will be described. In step 25, the image data transferred from the memory 300 to the contour extraction circuit 700 as a character / line drawing area is scanned for the entire image while updating a rough contour coordinate data table described later, and finally converted into a contour coordinate data string. It is converted and stored in the memory 1100.

In step 26, if the scaling of the image data converted into the contour coordinate data string is necessary, the image data stored in the memory 1100 is transferred to the smoothing coordinate conversion circuit 900, and the coordinate value is multiplied by the scaling factor. To do. At this time, if necessary, the coordinate sequence is traced so that the feature points remain in the contour coordinate data sequence, and smoothing conversion is performed for the enlargement processing. Further, when the image can be restored by tracing and smoothing the contour coordinate data string, the effective digit number of the coordinate value of the contour coordinate data is reduced to compress the data amount. After the above processing is completed, the contour coordinate data string coordinate-converted by the smoothing coordinate conversion circuit 900 is returned to the memory 1100.

At step 28, the image data whose transmission resolution and reception resolution match is transmitted by the CCU 600. In the case of G3, it is similarly transmitted by a modem (not shown). By the way, considering the communication error of image data,
When the communication device is the CCU of G4 and when the image is to be communicated as the contour coordinate data string, the contour coordinate data string can be transmitted and received by error correction by the protocol and the error image is retransmitted, but in the case of G3 using a modem , ECM
It is necessary to send and receive data using HDLC (High Level Data Link Control Procedure). Therefore, when the contour coordinate data string is received by G3 through the modem and the total is received using the conventional telephone line, the forced ECM mode is set, and if the frequency of ECM retransmission is high depending on the line state, or ECM transmission / reception can be performed. If not, the conventional M
Image data transmission is switched to H and MR codes, and image communication is performed in the conventional G3 mode.

Next, the flow of data on the receiving side will be described using the flowcharts of FIGS. In the reception of step 51, the image data is received by the CCU 1300 or a modem that does not come into history. The received image is the conventional G3
Is the encoded image data such as MH, MR according to G4 or MMR according to G4, or the contour coordinate data string transmitted by the image communication apparatus. The received image data is once stored in the memory 1100. In step 52, if the received image data is the contour coordinate data string transmitted from the image communication apparatus, the process branches to step 64, and if it is MH, MR, MMR code data, the process proceeds to step 53. When it is necessary to change the magnification of the image data received in step 64, the process proceeds to step 57, and thereafter, the scaling process using the contour coordinate data string is performed. If the scaling is not necessary, the process proceeds to step 59 where the coincidence in the scanning direction is determined, and thereafter, the image data is returned to the binary raster image obtained from the contour coordinate data sequence and is printed out. By the way, the image data encoded into MH, MR, and MMR in step 53 is sent to the encoding / decoding circuit 800, decoded into binary raster image data, and stored in the memory 300.
Next, in step 67, when binary raster image data for 3 lines is stored in the memory 300, the process proceeds to step 54 in sequence. If the binary raster image data for three lines has not been accumulated yet, the process returns to step 53 and the decoding process of the encoded data is continued. Here, the binary raster image data stored in the memory 300 does not necessarily have to be for three lines, as long as the binary raster image data can store the outline extraction processing efficiently. good. The time from the encoding to the contour extraction processing of the binary raster image data is shortened according to the accumulated data amount.

In step 54, if it is necessary to change the magnification when printing the received image data, step 55
To output to the FIFO from the memory 300.
The binary raster image data is transferred to the printer 500
Then, the print data is output from the printer 600 in synchronization with the above. In step 55, the pseudo-halftone image data block proceeds to step 66 based on the region determination (image attribute or region determination table) whether the received image data is the pseudo-halftone image or the character / line image, and the raster image is acquired. It is transferred to the scaling circuit 1600 and scaled as a binary raster image. The image block determined to be the character / line drawing area is transferred to the contour extraction circuit 700 and thereafter scaled as a contour coordinate data string.

In step 56, the binary raster image data of the character / line drawing stored in the memory 300 is transferred to the contour extracting circuit 700, converted from the binary raster image data into a contour coordinate data string, and stored in the memory 1100. It In step 57, when either the sub-scanning or the main scanning is the enlargement process, the contour coordinate data string stored in the memory 1100 is transferred to the smoothing and coordinate conversion circuit 900, and the contour coordinate data string to be described later is tracked. First by pattern matching
Smoothing and second smoothing processing are performed to smooth the contour coordinate data other than the corner points. By this processing, the jaggedness of diagonal lines at the time of enlargement is suppressed.

In step 58, the contour coordinate data string or the contour smoothed contour coordinate data string is converted into coordinate data matched with the resolution of the print output by multiplying each coordinate string by a scaling factor. In step 59,
For example, when the main scanning direction of the image data is different from the image main scanning direction at the time of recording, as in the case of outputting the image read in the vertical direction of B5 in the horizontal direction of A4, the process proceeds to step 60, where x of the contour coordinate data string is The coordinates and the y coordinates are exchanged and stored in the memory 1100. If it is not necessary to exchange the coordinates, it is stored in the memory 1100 as it is.

In step 61, the contour coordinate data string after pixel density conversion stored in the memory 1100 is input to a binary image regenerating circuit, and a part of the memory 300 is used as a map map image of an output image. Draw a contour line on. In step 62, the memory 30
From 0, the image data in which the contour line is drawn is extracted for each raster, and the intermediate coating circuit 400 performs intermediate coating of the contour and transfers it to the FIFO 500. At this point, the contour coordinate data is converted into binary raster image data again. Separately, the binary raster image stored in the memory 300 by branching in step 54 or step 55 is also similarly taken out from the memory 300 at this point and is also stored in the FIFO 50.
Is transferred to 0.

The binary raster image data transferred to the FIFO 500 is resynchronized with the printer 600 in step 67 and output from the printer as a raster image image. Next, the flow of image data during copying will be described in detail with reference to the flowchart of FIG.

In step 71, the image data read as a binary raster image has a pixel density on the image scanner side so as to maximize the recording resolution when there is no need for file storage such as immediate copying. The image data output from the image scanner 100 is transferred to the FIFO 500 via the memory 300 and printed out. Here, the reason why the data is once stored in the memory 300 is to absorb the difference in speed between the image scanner and the printer. Therefore, if the recording speed can be changed as in a thermal printer, the FIF can be directly stored as described above.
It may be transferred to O500 and output.

In step 73, if the image is to be stored once as a file, it is encoded and stored in order to increase the memory efficiency of the stored image file. Here, the binary raster image data stored in the memory 300 is transferred to the encoding / decoding circuit 800, converted into an MH code, etc., and transferred and stored in the memory 1100. In addition, of course, the encoding compression is M
Various compression methods other than H can be used. The image data once accumulated is read out from the memory 1100 again as shown in step 74 during the print output operation, decoded by the encoding / decoding circuit 800, and expanded in the memory 300 as binary raster image data. It

In step 76, if the stored image file is scaled, the process proceeds to step 77. Otherwise, the raster image is transferred to the FIFO 500 for each raster, resynchronized with the printer 600, and printed out. In step 77, the pseudo-halftone image is stored in the raster image scaling circuit 166 based on the determination table as to whether the accumulated image file is the pseudo-halftone image or the character / line drawing image as shown in the transmission process. The transferred raster image is scaled as it is and returned to the bit map image memory of the memory 300.

In step 78, the binary contour image data transferred to the block contour extraction circuit 700, which is determined to be a character / line drawing area, is converted into a contour coordinate data string and stored as a memory 1100 contour coordinate data string. When performing enlarging processing to output the image data accumulated at the standard resolution of G3 (main scanning 8 pel / mm, sub scanning 3.85 line / mm) to a 400 dpi printer as shown in the reception processing flow. In step 81, since the smoothing process is performed, the smoothing / coordinate solution circuit performs the first smoothing process and the second smoothing process described later.

In step 80, each coordinate value of the contour coordinate data string or the smoothed contour coordinate data string is multiplied by a scaling factor to be converted into a contour coordinate data string matching the resolution and size of the printer output image. Step 8
In 1, the image data converted into the contour coordinate data string of the printer output image is transferred to the binary image regenerating circuit 100, and the contour line is drawn in the bitmap image memory of the memory 300 by the binary image regenerating circuit 100. It

In step 82, the binary raster image data having the contour line formed in the memory 300 is 1
It is read out for each raster, transferred to the FIFO 500, and printed out in synchronization with the printer as shown in step 83. The above processing has been described step by step, but of course, by performing each processing for each block, decoding processing, contour extraction processing, smoothing processing, coordinate conversion processing, binary image regeneration processing, intermediate coating It becomes possible by performing the processing in parallel, and the throughput of the system can be increased.

In the present embodiment, the processing with a large load may be performed during the standby, not during the transmission and reception.

[0032]

[Other Embodiments] In the above embodiment, the character / line drawing image and the halftone image are separated by the image area separating circuit. However, the image attribute can be known in advance by the mode select button of the image scanner or the communication protocol. If it is clear whether the converted image is a pseudo halftone image or a character / line drawing image, the area table by image area separation is not required, and it is possible to switch whether to perform pixel density conversion by contour extraction according to image attributes. Good. Further, the pseudo-halftone image has a relatively small total number of points in one closed loop of the contour coordinate data sequence as compared with the character / line drawing image, and the vector direction changes frequently within the one closed loop, so the image area separation circuit 200 and the area determination table. At the stage of smoothing processing instead of
A simple image area separation function can be realized by switching between smoothing processing and non-smoothing processing depending on the total number of one closed loop of the contour coordinate table sequence.

Further, in the above-described embodiment, since the enlargement / reduction processing and the encoding processing by the contour coordinate data string and the conventional enlargement / reduction processing by the binary raster image are included, the data size of the outline coordinate data string is MH, MR, MMR
By comparing the data size of the encoded data and transmitting the image data with the smaller data amount, the communication time can be efficiently shortened. Further, since the contour coordinate data string becomes considerably large depending on the image, when the memory overflow occurs when the contour coordinate data string is extracted from the image such as when the size of the memory 1100 is small, the contour extraction processing is stopped and the binary raster image is displayed. It is possible to switch to the processing by.

In addition to the scaling by the coordinate conversion, it is possible to multiply the scaling factors for the main scanning and the sub-scanning separately, and it is possible to perform the scaling independently for the x-axis and the y-axis. Further, in the smoothing processing according to the above-described embodiment, black isolated points and notches are removed to remove dust pixels. However, image data read in the standard resolution of the G3 standard has notches and It is also possible to remove the notch removal pattern and the isolated pixel removal pattern from the smoothing pattern as the information that the isolated point is character readable and perform the processing. Of course, switching between smoothing processing and non-smoothing processing can be easily realized by the external mode key.

Smoothing coordinate conversion circuit 90 in this embodiment
In the case of 0, only the x coordinate and the y coordinate are exchanged and the multiplication of the magnification is performed. By performing the rotation, it is possible to correct the skew of the read document. Further, in the binary image regenerating circuit 1000, the case of the page memory use type in which the image memory of the bitmap is used for one screen has been described, but the scan line conversion (the edge table and the active edge table like the bucket sort method is used. The edge of the contour image may be drawn with a line buffer of several lines.

Although a printer is used as the image output device, an image display output can be performed by using a video memory and a display instead of the FIFO 500 and the printer 600 of FIG. Further, as an application example of communication using the contour coordinate data string, a separate digitizer indicating the image position is provided, and a decoration code is added to the contour coordinate data closed loop in the area designated by the digitizer and sent. On the receiving side, it may be possible to easily change the shaded pattern, the color painting pattern in the middle, and the color according to the packaging code.

Further, instead of expanding the font by once expanding it as a binary raster image like a report or a header, it is directly transmitted / received as font data using an outline, or the conventional outline font expansion is reproduced as a binary image. The outline font can be output easily by using it in common with the composition and intermediate coating circuits. Of course, in the above-mentioned embodiment, all the operations used for the conventional resolution conversion can be realized, and the arbitrary scaling processing by the magnification designation key and the processing for inserting the long original into the standard cut sheet by the cassette size detection are performed. This can be executed with the configuration of this embodiment.

The present invention may be applied to a system composed of a plurality of devices or an apparatus composed of a single device. Further, it goes without saying that the present invention can be applied to the case where it is achieved by supplying a program to a system or an apparatus.

[0039]

As described above, according to the present invention,
Convert the binary raster image data into a contour coordinate data string,
Since pixel density conversion is performed as a coordinate data string, distortion of the image due to resolution conversion is reduced, and smoothing processing is also used at the time of enlargement processing when an image with low resolution is recorded in a recording apparatus with high resolution. , It is possible to suppress the jaggedness of a shaded portion or a curved portion and perform resolution compensation. Further, by transmitting and receiving the image as the contour coordinate data string, the image data is compressed by transmitting and receiving the feature points of the contour coordinate.
It is possible to easily decorate each contour coordinate closed loop. Further, by sharing the binary image reproduction component, it is possible to easily mix the conventional outline font as a font image in this configuration.

[Brief description of drawings]

FIG. 1 is a block diagram showing the configuration of the entire circuit of this embodiment.

FIG. 2 is a flowchart showing a flow of data processing of a transmission operation.

FIG. 3 is a flowchart showing a flow of data processing of a transmission operation.

FIG. 4 is a flowchart showing a flow of data processing of a receiving operation.

FIG. 5 is a flowchart showing a flow of data processing of a receiving operation.

FIG. 6 is a flowchart showing a flow of data processing of a copy operation.

FIG. 7 is a diagram showing an example of a contour coordinate data string.

FIG. 8 is a diagram for explaining raster image scanning of a contour extraction circuit.

[Explanation of symbols]

 100 image scanner 200 image area separation circuit 300, 1100 memory 400 intermediate coating circuit 500 FIFO 600 printer 700 contour extraction circuit 800 encoding / decoding circuit 900 smoothing coordinate conversion circuit 1000 binary image reproduction circuit 1200 CPU 1300 CCU 1700-1 ~ 3 buses

Claims (11)

[Claims] 1. In an image communication device, a separating means for separating input binary raster image data into a binary area and a halftone area, and binary raster image data of the binary area separated by the separating means. And a conversion unit for converting the data sequence of the contour coordinates into a data sequence of contour coordinates;
Scaling means, a first adding means for adding first identification information to the scaling result of the first scaling means, and binary raster image data of the halftone area separated by the separating means. Second scaling means for scaling at a magnification similar to that of the first scaling means; second adding means for adding second identification information to the scaling result of the second scaling means; An image communication apparatus, comprising: a transmission unit that performs a transmission process based on the results obtained by the first and second addition units. 2. A reading device for reading an original image by raster scanning, wherein the input binary raster image data is data obtained by the reading device. Image processing device. 3. The scaling means according to claim 1, further comprising a smoothing means for smoothing the data string of the binary area converted by the converting means in the case of enlargement / reduction. Image communication device. 4. In an image communication apparatus having a communication function, a judging means for judging whether or not the received data has predetermined identification information, and the judging means judges not to have the predetermined identification information. In the case of the above, the conversion means for converting the binary area of the received data into the data sequence of the contour coordinates, and in the case of the data sequence converted by the conversion means, the determination means determines that the predetermined identification information is included. In either case of the received data that has been subjected to scaling, first scaling means that performs scaling processing according to a predetermined condition, and binary based on the data string scaled by the first scaling means. When the determination unit determines that the predetermined identification information is not included, the reproduction unit that reproduces the raster image data sets the halftone area in the received data as in the first scaling unit. Double And a synthesizing unit for synthesizing the binary raster image data obtained by the reproducing unit and the binary raster image data obtained by the second scaling unit. An image communication device characterized by the above. 5. The image communication apparatus according to claim 4, wherein the predetermined condition includes a case of resolution conversion. 6. The image communication apparatus according to claim 4, further comprising forming means for forming a visible image based on the binary raster image data obtained by said synthesizing means. 7. The image according to claim 4, wherein the first scaling means has a smoothing means for smoothing the data string converted by the conversion means in the case of enlargement / reduction. Communication device. 8. An image communication apparatus having a communication function, comprising: separating means for separating input binary raster image data into a binary area and a halftone area; and a binary area 2 separated by the separating means. In the case of the conversion means for converting the value raster image data into a data string of contour coordinates, and in the case of the binary raster image data of the halftone area separated by the separating means in the case of the data string converted by the converting means. Also, a scaling means for performing scaling processing according to a predetermined condition, a playback means for playing back binary raster image data based on the data string of the binary area scaled by the scaling means, and the playback means. An image communication apparatus comprising: a synthesizing unit for synthesizing the binary raster image data obtained by the above method and the binary raster image data of the multi-value area obtained by the scaling unit. 9. The image communication apparatus according to claim 8, wherein the predetermined condition includes a case of resolution conversion. 10. Further, 2 obtained by said synthesizing means
9. The image communication apparatus according to claim 8, further comprising forming means for forming a visible image based on the value raster image data. 11. The scaling means according to claim 8, further comprising a smoothing means for smoothing the data string of the binary area converted by the converting means in the case of enlargement and scaling. Image communication device.