JPS63113771A - Image processor - Google Patents

Abstract

PURPOSE:To carry out the conversion of picture data at high speed by previously providing a coordinate conversion file prepared by using random digits. CONSTITUTION:A generation means generates a specified pattern in a first picture with the picture element of a first picture data specified at random as almost central one. Next, a storage means stores conversion information which converts the coordinate of the picture element in the specified pattern into the coordinate value of the almost central picture element. Based in the conversion information the color information of the picture element of the first picture data is made to actuate as the color information of the picture element of a seconds picture data having the coordinate corresponding to the picture element of the first picture data so as to generate the second picture data. By providing the previously prepared coordinate conversion file, the conversion of the picture data can be carried out at high speed.

Description

DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to an image processing apparatus that converts an original image by generating a pattern of a predetermined shape at random positions on the original image.

[Prior Art] Regarding digital image processing, various devices and methods have been developed in various fields, and by inputting natural images such as photographs as digital image data, for example, density conversion, gradation, etc. It is now possible to create creative images by performing processing such as conversion, mosaic processing, and cropping and compositing. One such method is to perform processing such as density conversion, gradation conversion, mosaic processing, etc. uniformly on the entire screen, and the operator does not have to give any instructions like ν1 or 1. This has the disadvantage that the same pattern is repeated, resulting in a lack of sharpness and an uninteresting image.

Another method is to specify a location on the screen using an image input means such as a digitizer or a random number generation means, and apply IA such as density conversion, color conversion, cutout compositing, etc. only to this area.
There is something to be buried. This creates areas on the screen that have been processed and areas that have not been processed, creating a sharp contrast to the image, and by reprocessing after processing, various patterns can be created, resulting in extremely creative images. I can create it.

[Problems to be Solved by the Invention] However, since these methods generate random numbers or are executed according to instructions from an operator, they have the problem that they take much more time. Furthermore, when instructing randomly using random numbers, shapes are created at discrete positions, so another shape may be drawn on top of the shape drawn once, and the same pixel may be processed more than once. This has the drawback of requiring extra time.

The present invention has been made in view of the above-mentioned conventional example, and provides an image processing device capable of converting image data at high speed using a coordinate conversion means that stores coordinate values of a processed image and coordinate values of an original image in correspondence with each other. The purpose is to

[Means for Solving the Problems] In order to achieve the above object, the image processing apparatus of the present invention has the following configuration. That is, a specifying means for randomly specifying pixels of the first image data, a generating means for generating a predetermined pattern approximately centered on the pixel on the first image data, and coordinates of pixels within the predetermined pattern. storage means for storing conversion information for converting the color information of the pixel of the first image data into the coordinate value of the pixel approximately at the center; and a second storage means having the coordinate value corresponding to the pixel based on the conversion information and means for converting the image data into pixel color information.

[Operation] In the above configuration, the generating means generates a predetermined pattern on the first image approximately at the randomly specified pixel of the first image data. Next, conversion information for converting the coordinates of pixels within the predetermined pattern into coordinate values of approximately the central pixel is stored in the storage means. Create second image data by using color information of pixels of the first image data as color information of pixels of second image data having coordinate values corresponding to pixels of the first image data based on conversion information It works like this.

[Embodiments] Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[Description of the configuration of the image processing device (FIG. 1)] FIG. 1 is a configuration diagram of the image processing device of this embodiment.

In the figure, reference numeral 1 denotes an image input unit such as a TV camera or a drum scanner, which photoelectrically reads an original image such as a photographic film or a print image, performs A/D conversion to convert it into a digital signal, and inputs the digital signal to the CPt 12. 2 is a CP that controls the entire device
U is equipped with a ROM for storing control programs and data shown in the flowcharts from FIG. 2 onwards, and a RAM as a work area. Reference numeral 3 denotes an image memory, which includes an image memory 31 that stores original image data from the image input section 1, and an image memory 32 that stores processed image data that has been subjected to various types of image processing that will be described later.

Reference numeral 4 denotes a command input unit, such as a keyboard or digitizer, for manually inputting various image processing commands to be described later. In the case of a keyboard, commands are given by pressing command keys corresponding to various processes, and in the case of a digitizer, commands are given by pointing to a menu on the digitizer board or a menu displayed on a CRT screen using a cursor or the like. 5 is a data file that stores coordinate transformation files corresponding to various image processing commands.

Reference numeral 6 denotes a CRT for displaying image data in the image memory 3 or a menu for manual commands.

In response to a processing command from the command input section 4, the CPU 2 reads out a coordinate transformation file from the data file 5, performs necessary processing on the original image data in the image memory 31, and stores the resultant data in the image memory 32. The image data created in this manner is printed by an output unit 7 such as a printer or a film coder.

[Description of mosaic processing (FIGS. 2 to 4)] FIG. 2 is a diagram showing an example of mosaic processing applied to an image.

20 is x0 in the horizontal direction and y in the vertical direction. This is an image obtained by mosaic-processing an original image (not shown) consisting of pixels into equal parts using the mosaic 22, and the coordinates of the upper left corner are (1
, 1), the coordinates of the lower right edge are indicated by (Xo, "Jo"). 21 is a mosaic randomly placed on the image 20, and its size is (2m + 1) in width and (2m in height).
n+1). However, m and n are positive numbers here.

FIG. 3 is a flowchart for creating a coordinate transformation file for mosaic processing stored in the data file 5.

First, in step S1, an array x (x
o + yo) + y (xo + yo) as C
Prepare it in the RAM of PU2.

Next, in step S2, each element X (x.

y), Y (x, y) is the coordinate value (x, y) of the original image.
Assign the coordinate values corresponding to y). This results in array elements X (x, y)=x, Y (x, y)=y. However, 1≦X≦×0.1≦y≦y0. This is because even if a mosaic is generated using random numbers, there is a possibility that there will be pixels for which coordinate transformation is never performed until the end, so the coordinate values of all elements are set in advance.

Next, the process proceeds to step S3, where a counter J for counting the number of mosaics 21 is set to "1". In step S4, random numbers are generated to determine the center coordinates (xr) of the mosaic 21 within the coordinates of the original screen.

yr) is generated. However, 1≦xr≦xo, l≦yr≦
It is y0. Next, in step s5, the center coordinates (x, , y
The coordinates (
x, y), center coordinates (xr.

yr). In this mosaic area, based on the size of the mosaic 21, x, -m+i~xr0m'=
Elements having coordinate values in the range of 3'r-n+1 to yr+n-1 are applicable.

Next, the process advances to step S6, and "o" is substituted into the X and Y coordinates of the element that will become the black frame area of the mosaic 21. These black frame areas are (Xr-m, yr-n~3'r +n
) l (xr + m, yr −n~y1+n),
(x, -m~Xr''m, yr-n).

4 represented by (Xr −m ~ Xr +m, yr+n)
It is a rectangular linear area. Note that this black frame area is added to give a tighter look to the entire image, and the value indicating this area does not necessarily have to be "0"; it can be any value that is outside the screen area. Anything is fine, X, Y
Of course, at least one of the coordinates may be changed to a value outside the screen area to indicate the black frame area.

In step S7, the counter J for counting mosaics 21 is incremented by 1, and in step s8, N is the number of mosaics 21.
Check whether it has been repeated several times. If the number of mosaics 21 does not reach N, the process returns to step S4, and the above-mentioned operation is repeated. However, when the number of mosaics 21 reaches N, the process proceeds to step S9, and the values of the X and Y coordinates of each element are calculated. The data is stored in the data file 5 and the process ends.

FIG. 4 is a flowchart of mosaic processing in this embodiment.

First, in step SIO, original image digital data is input manually from the image input unit 1, and in step S11, the original image data is stored in the image memory 31. Next, in step S12, the entire screen is 2m+1. [Perform a mosaic process with a black frame having a size of 2n+1 and store it in the image memory 32. As shown in Fig. 2, the original image is divided into squares using mosaics 22, the inside of each mosaic 22 is made the same color, and the pixels at the boundaries between each mosaic 22 are changed to black. . After this, a random mosaic 21 is generated in steps S14 to S522.

In step S13, both the coordinate counters in the X and Y directions are set to "1".
'', and in step 514, the coordinate transformation values are read from the data file 5 created based on the flowchart in FIG. 3. In step S15, the arrays X (x, y), Y (x,
Check whether at least one of y) is "0", that is, it is a boundary area of the mosaic.The boundary area is trimmed in step S.
The process proceeds to step 16, and black is entered into the corresponding coordinates of the image memory 32. If it is not a boundary area, the process proceeds to step S17, and it is determined whether the coordinate transformation values in the data file 5 are equal to the original coordinate values, that is, whether X (x, y) = x or Y (x, y) = y. View. If it is equal to the original coordinate value, that is, if no coordinate transformation has been performed, the process proceeds to step S19 without doing anything.
Otherwise, the process advances to step S18, and the image memory 3
The color at the coordinates (x, y) of the corresponding original image of No. 1 is stored in the coordinates (x, y) of the image memory 32.

In step S19.20, it is checked whether pixels for one line in the X direction have been checked. When the checking of pixels for one line is completed, the process advances to step S21, advances by one line in the Y direction, and checks the next line. When the processing for one screen is completed, the processed image data is stored in the image memory 32, and in step 324, the image data in the image memory 32 is output to the output section 7, and the processing is completed.

In this way, if you prepare a coordinate transformation file in the data file 5 in advance, you can process pixels sequentially, randomly generate coordinate values using random numbers each time, and change the coordinate values to Compared to repeating the steps of processing the surroundings of the relevant pixel, processing speed can be increased.

[Oil painting, I! Explanation of Processing (FIGS. 5 to 8) FIG. 5 is a diagram showing another embodiment in which blocks 50 indicating brush strokes are placed at random positions on the original image.

51 is an original image consisting of x0 pixels in the horizontal direction and 310 pixels in the vertical direction, and the coordinates of the upper left corner of the image are (1, 1)
, the coordinates of the lower right end are indicated by (Xo, 'io). 50 is a block indicating the touch of a brush composed of 7 pixels horizontally and 5 pixels vertically, the shape of which is shown in Figure 6. N blocks are placed at random positions in the original image, and the natural image is painted as if it were an oil painting. It is processed in various ways.

FIG. 7 is a flowchart of the process of creating a coordinate transformation file for oil painting style processing to be stored in the data file 5.

Similar to the flowchart of FIG. 3, step 330
~ In S32, array −x (xo, yo), y(
Xo + Vo) is prepared, and the coordinate values (1 to xo, 1 to yo) of the original image 51 are set in all elements of the array. In step S33, a random number is generated and the center 52 of the block 50 within the coordinates of the original image 51 is
Obtain the coordinates (xr, yr) of In step S34, all coordinates of pixels corresponding to block 50 (Xr, 3
'1). That is, Xr-3≦X≦X, +3. y, -
Among the pixels within the range of 2≦y≦yr+2, the X and Y coordinates of the pixels existing in the block 50 are expressed as (xr, yr
).

The major difference from the flowchart in Figure 3 is that in the case of oil painting style processing, there is no part surrounded by a black frame (boundary area), so the process corresponding to step S6 in Figure 3 is omitted in the process in Figure 7. has been done.

Once N blocks 50 are formed on the image, step S
37, instead of storing the values of the X and Y coordinates as they are in the data file 5, the difference between the X and Y coordinates and the coordinate values x and y of that pixel, the values of X-x and Y-y. to store. This means that if the X and Y coordinate values are stored as they are in the data file 5, the X coordinate value will be 1 to xo, the Y coordinate value will be 1 to y0, and for each element xo + yo
It is necessary to prepare a data area that satisfies this requirement, which requires an extremely large amount of memory.

However, if the difference in the coordinate values of the data area is calculated and stored as in this embodiment, even if coordinate transformation is performed, the coordinate value will be within the size of the shape of the touch of the brush at most, so X-x
is -3 to +3. y−y falls within the range of −2 to +2. This has the effect of reducing the data area and significantly saving memory.

FIG. 8 is a flowchart of oil painting style processing using a coordinate conversion file of another embodiment, which is basically the same as the flowchart in FIG. The coordinate values of the coordinate conversion file are the difference values for the points where there are people and the points where there is no black frame area.Furthermore, in oil painting style processing, brush strokes are added on the original image, so the original image is processed in advance in the image memory 32. There is no need to store it.

Steps 540 to S42 are steps 510 to 3 in FIG.
Since it is equal to 13, the explanation will be omitted and will be explained from step S43. In step S43, from data file 5,
The difference in Y coordinates, △X, △Y is read, and in step S44, the coordinates (X+△X, y+) of the original image in the image memory 31 are read.
The color ΔY) is stored in the coordinates (x, y) of the image memory 32. In this way, 1≦X≦x0, 1≦y≦y0
When all the pixels for the screen are configured in the image memory 32, the process proceeds to step S50, where the processed image in the image memory 32 is output to the output unit 7, and the process ends.

In this way, by storing the X coordinate and the difference value of the X coordinate in the data file 5, there is an effect that the memory capacity required for the data file 5 can be saved significantly. In addition,
If you want to process with a black frame in this process, store a value outside the required value for the shape of the brush stroke (for example, in the case of Figure 6, substitute -3 for the X coordinate) in the data file. It is a good idea to convert the color to black according to the value at the time of processing.

[Explanation of an example in which the data area of the coordinate transformation file is larger than the processing image area (Figs. 9 to 11)] Fig. 9 is a diagram showing the relationship between the processing image area 91 and the data area 92, and 91 is a diagram showing the relationship between the processing image area 91 and the data area 92. The image area is shown as horizontal XO+vertical y as in the previous embodiment. The processing image area 91 can be moved in g within the data area 92 with reference to the coordinates (X!l, ys) of the upper left corner within the range where the processing image area 91 does not protrude. The data area 92 is a larger area than the processing image area 91, where 1≦X≦x, , 1≦y≦yd (however, X
d>x,.

y d > y o ) is a data area of a coordinate transformation file.

FIG. 10 is a flowchart of yet another embodiment for creating a coordinate conversion file for the range of the data area 92 in the data file 5. This flowchart differs from the flowchart in Figure 7 only in the dimensions of the arrays X and Y.
Since they are exactly the same, their explanation will be omitted.

FIG. 11 is a flowchart of oil painting style processing according to yet another embodiment when a coordinate transformation file having a data area larger than the processing image area is stored in the data file 5.

Step S70. In S71, the original image is stored in the image memory 31 by the image processing unit 1. In step S72, random numbers are generated to determine the start coordinates (Xs, ys) of the coordinate transformation file.

However, here 1≦X, ≦xd−xo, 1≦y3≦”Id
-' Of course, it is within the range of Jo.

In step S73, both the counters in the x and y directions are set to 1'', and in step S74, the difference △X (X+X5-1, y+'jM-1) is calculated from the coordinate transformation file in the data file.
), ΔY (x+xs-1, y+ys-1) are read out. Therefore, first of all, the coordinates of the original image (Xs r
ys) is read out, and step S
75. In S76, it is checked whether X+Δx and y+ΔY are within the processing image area 91, respectively. If it is not within the region 91, the difference data is set to 0" in steps S76 and 37B, but if it is within the region 91, the process advances to step S79.

In step S79, the coordinates of the original image (x+△x,
y+ΔY) is stored at the coordinates (x, y) of the processed image. In this manner, the processed image is stored in the image memory 32, and when the processing is completed for all pixels of the original image, it is output to the output unit 7 in step S85, and the processing is terminated.

In this way, by making the stranded transformation file of data file 5 larger than the processing image area and performing processing while randomly changing the position of the image area, even if processing is performed using the same coordinate transformation file. , a different result will be obtained each time, and various variations of processing results can be created. Note that when processing using this method, the values of X+Δx and y+ΔY may go out of the processing image area, so in this case, step
76 and step S78, respectively set △X and △Y to “0”.
” and then process it.

As explained above, according to this embodiment, by creating and preparing a coordinate transformation file in advance, processing can be performed at high speed compared to generating random numbers and arranging shapes each time. be.

Further, according to another embodiment, by storing the differential coordinate values in the memory as coordinate transformation file information, it is possible to significantly reduce the memory capacity.

According to still another embodiment, the data area of the coordinate transformation file is created larger than the processing image area, and the processing image area is randomly selected from the data area, so that even if the same transformation file is used, This has the effect of being able to convert to a different image.

[Effects of the Invention] As described above, according to the present invention, by preparing in advance a coordinate transformation file created using random numbers, image data can be transformed at high speed.

[Brief explanation of the drawing]

Fig. 1 is a configuration diagram of the image processing device of this embodiment, Fig. 2 is a conceptual diagram showing mosaic processing, Fig. 3 is a flowchart of creating a coordinate transformation file for mosaic processing, Fig. 4 is a flowchart of mosaic processing, Figure 5 is a conceptual diagram showing oil painting style processing, Figure 6 is a diagram showing the shape of a brush touch, Figure 7 is a flowchart for creating a coordinate conversion file for oil painting style processing, and Figure 8 is a flowchart of oil painting style processing. , Figure 9 is a conceptual diagram when the coordinate transformation file is made larger than the processing image area, Figure 10 is a flowchart for creating a coordinate transformation file in the case of Figure 9, and Figure 11 is an oil painting style processing of Figure 9. 3 is a flowchart for processing in cases. In the figure, 1... image input section, 2... CPU, 3...
Image memory, 4... Command input section, 5... Data file, 6... CRT17... Output section, 51...
・Original image, 21...Random mosaic, 22
...Mosaic, 31.32...Image memory, 50.
...Block, 52...Center pixel, 91...Processing image area, 92...Data area.

Claims (1)

[Claims] specifying means for randomly specifying pixels of the first image data; generating means for generating a predetermined pattern approximately centered on the pixel on the first image data; storage means for storing conversion information for converting into coordinate values of a central pixel; and a second image having coordinate values corresponding to the pixels based on the conversion information, color information of the pixels of the first image data. An image processing apparatus comprising: means for converting data into pixel color information.