JPS6314285A - Picture blurring processing system - Google Patents

Abstract

(57) [Summary] This bulletin contains application data before electronic filing, so abstract data is not recorded.

Description

[Detailed Description of the Invention] [Summary] An image blurring processing method for an image display device, in which a plurality of pixels are used as a unit processing area, and the average value of the 4 degrees of those pixels is set as the density of the center pixel of the unit processing area. By enlarging the image into a circular shape from the center of the specified area of the image memory and blurring the image in the specified area, it is possible to easily obtain an image in which the degree of blurring is strong in the interior and weak in the periphery.

[Industrial application field]

The present invention relates to a method for performing image blurring processing in an image display device.

2. Description of the Related Art There is a method of electronically processing photographs, paintings, videos, etc. using an image processing device to edit and modify them so that they are suitable for, for example, newly developed photographs or advertising images.

Image blurring is one method that averages the pixel density over a small part of the image or the entire image.For example, if there is a part of the image that you want to emphasize, you can blur the area around that part. It is used to make it stand out.

[Conventional technology]

Conventional image blur processing involves preparing a mask of the same size as the specified area, and adding 3 pixels to each pixel within the area.
This was a process in which a ×3 processing area (matrix) was set, the average pixel density within the matrix was calculated, and the result was replaced with the density of the center pixel in the matrix.

[Problem that the invention seeks to solve]

As described above, in this conventional method, since the averaging process is performed only once for each pixel within the region, the degree of blurring within the region is uniform and weak.

Also, if you repeat the process many times to strengthen the blur,
The boundary between the blurred and unblurred areas was clearly visible, resulting in an image that looked unnatural.

That is, the 5US line portion of the image became clear, and the expression was unnatural when viewed from the image as a whole.

In order to avoid this unnaturalness, it is necessary to change the blurring method for the image parts when performing uneven image blur processing, where the central part of the image is strongly blurred and the blur becomes weaker in the peripheral parts. there were.

Such processing requires complicated processing such as finely changing the matrix depending on the image position.

The present invention was created in view of these points, and it is an object of the present invention to provide such an image blurring method using a simple method.

[Means for solving problems]

The problem described above is to specify an arbitrary area to be processed on the image memory that stores pixel data, set multiple pixels as a predetermined unit processing area, calculate the average value of the density, and then select the center pixel of the unit processing area. The mean value calculation means is applied to adjacent pixels sequentially with the specified point in the specified area as the center of the first unit processing area, and the processing area including that pixel is circled using the mask area in the image. The problem is solved by the image blurring processing method of the present invention, which, after enlarging the shape and processing the inside of the mask region, sets a further enlarged mask region and repeats the blurring processing from the initial specified point each time.

[Effect]

First, the average value of pixel densities of the unit processing area centered around the starting point is determined, and is taken as the center pixel density of the unit processing area.

Next, a unit processing area is defined centered on the pixel adjacent to the pixel for which the density has been set.

The unit processing area includes the first processed pixel and provides the density value of the pixel for average value calculation.

Then, the processing area is expanded into a circular shape by adjacent pixel processing, and once the processing of the mask area is completed, an even larger mask area is set, and the same average value processing as above is performed again from the first specified point. , repeat this process.

Therefore, when a specified image is processed, if the specified point is set at the center of the image, the pixels near the center will be subject to repeated averaging calculations, so the interior of the image will not be averaged. The density processing, that is, the processing with a large degree of blurring, is performed, and since the average calculation is less repeated in the peripheral area, the degree of blurring is reduced.

〔Example〕

FIG. 1 is a configuration block diagram of an embodiment of the image blurring processing method of the present invention, FIG. 2 is a diagram illustrating the region processing order, and FIG. 3 is a diagram illustrating the pixels to be calculated.

In FIG. 1, density data in pixel units (hereinafter referred to as pixel data) is stored in an image memory 1, and a microprocessor MPL+, for example, controls an area of the image memory 1 to be blurred by a tablet 8 (or a light ben). , the starting point P of blurring is indicated (Fig. 2 (a)
)), the memory read circuit 2 is instructed to read the image memory read address, and the pixel data in the processing area is read into the buffer memory 3.

First, in the first processing, the unit processing area of the specified blurring start point P, for example, 3×3 pixels (within the thick line frame in FIG. 3) is read out to the average value calculation circuit 5.

For the sake of explanation, the nine pixels to be read out are 1, 2° 3, .
．． Numbered 9, the density of that pixel is a, b, respectively.
If c, , , i, then the average value e° is 6゛ = (a+b+C+, ,, +i)/9, so based on this calculation result, the microprocessor MPU specifies the write address to the memory write circuit 6. Then, the pixel data corresponding to pixel 5 of image memory l is rewritten from e to e'.

In Fig. 2, pixel 5 at the starting point P (the pixel in the shaded area in Fig. Read out the area and mask circuit 4
is the diagonal pixel 2. inside the circle indicated by the dotted line in FIG. 2(C). 4.
6. The average value calculation process is performed in the same manner as above for each unit processing area with pixel 8 as the center pixel.

As shown in FIG. 3, pixel 4 is pixel 10. 1. 2.11
4.5, 12, and 7.8 are set as j body position processing regions, and the average value of the pixel data is replaced with the data of pixel 4.

Similarly, the unit processing area indicated by the dotted line is read out, pixels 2, 6, and 8 are processed, and the processing of the pixels specified by the mask circuit 4 is completed.

Next, the mask circuit 4 designates a further enlarged area as indicated by the dotted line in FIG. 2 (dl), and repeats the above processing from the starting point P.

That is, the processing area is expanded sequentially, the third processing processes the shaded area in FIG. 2 fdl, the fourth process processes the shaded area in FIG. Each time the required processing is completed (second
Figure (f)).

The processed image is displayed on the display 72 via the display memory 71 of the display unit 7, and the density is averaged closer to the starting point P, resulting in a more blurred image.

Note that the data processing of each circuit described above can be replaced by execution of a processing program by a microprocessor.

〔Effect of the invention〕

As described above, according to the present invention, it is possible to easily realize an image in which the degree of blurring is strong in the center and weak in the periphery, and is extremely useful in practice.

[Brief explanation of drawings]

FIG. 1 is a configuration block diagram of an embodiment of the image blurring processing method of the present invention, FIG. 2 is a diagram illustrating the region processing order, and FIG. 3 is a diagram illustrating calculation target pixels. In the figure, 1 is an image memory, 2 is a memory read circuit, 3 is a buffer memory, 4 is a mask circuit, 5 is an average value calculation circuit,
6 is a memory write circuit, 7 is a display section, 8 is a tablet, and MPU is a microprocessor. Fig. 1 Inastg, m Kaieri texture Fig. 3 te+ (f+JtgI
tA', en+ri) pigffiaiTsffi
2 Figure

Claims (1)

[Claims] Means (8) for specifying an arbitrary blur processing area on the image memory (1) storing pixel data; an average value calculation means (5) which calculates the average value of the density of a plurality of pixels and sets it as the density of the center pixel; and the average value calculation means (5) which calculates a unit processing area having a pixel adjacent to the processed pixel as the center pixel. (5), and includes an enlargement processing means for enlarging the processing area in a circular shape from the first designated pixel by sequentially processing according to (5), and a mask setting means (4) for setting the processing area by the enlargement processing means, and the blurring processing described above. An image blurring processing method characterized in that by specifying a region and one point within the region, a new mask is set each time the enlargement processing means finishes processing the region of the mask, and the entire area within the blurring processing region is processed. .