JPH03201172A - Image processor - Google Patents

Abstract

PURPOSE:To obtain an uneven blur image by determining a diffusion direction in accordance with image data. CONSTITUTION:Image data to be blurred are inputted from a terminal 1 and written in an image memory 3 through the terminal (a) of a change-over switch 2. The data of the memory 3 are read out by a prescribed processing procedure and sent to an asymmetrical filter 4, which executes filtering processing based upon asymmetrical filter coefficients changed in respective picture elements and the filtered data are rewritten in the memory 3 through an unselected terminal (b). Picture element data from the memory 3 are sent to a coefficient determining circuit 5 for determining the diffusion direction of picture elements and the filter coefficients of the filter 4 are determined in accordance with the values of picture element data. After repeating the filtering processing of the filter 4 by the required number of times, processed picture element data are read out from the memory 3 and outputted from an output terminal 6. Thus, an uneven blur image can be obtained.

Description

[Detailed description of the invention]

A. Industrial Application Field The present invention relates to an image processing device that performs special effect processing such as image blurring. 88 Summary of the Invention The present invention provides an image processing device that performs blurring processing or the like on input image data, in which the direction of pixel diffusion when performing asymmetric filter processing on input image data is adjusted to the image data supplied to the filter. A non-uniform and visually pleasing blurring effect is achieved by determining the blurring effect in accordance with the control image data or in accordance with predetermined control image data. C0 Prior Art In recent years, research and practical application of image processing have become active. This image processing is performed for various purposes, for example,
It is used for image conversion, measurement of 9 images, pattern recognition of 1 image, generation of ii image, etc. Among these, the above image conversion is
A processed image is obtained by performing various processing on an input image, and the processing includes, for example, gradation correction 3
Point calculation, neighborhood processing, geometric processing, typhoid fever processing. Filtering, two-dimensional transformation, extraction of lines and contours, fiI
Examples include processing such as area division. It also includes restoration of two enhanced images of images that are a combination of these processes. For example, as a conventional method of blurring an image through image processing, the simplest method that does not involve signal processing as described above is:
There are some objects that are optically blurred by shifting the focus during shooting. Further, as a method of blurring an image by signal processing, a method of blurring the image signal by applying, for example, a low-pass filter with constant coefficients to the image signal can be considered. D0 Problems to be Solved by the Invention By the way, with any of the conventional blurring methods described above, such as out-of-focus and low-pass filter processing, an image in which the entire screen is uniformly blurred is obtained, for example, a watercolor-like image. It is not possible to obtain a visually pleasing image with a blurred appearance, that is, it is not possible to obtain an image with non-uniform blur using conventional image processing. The present invention has been proposed in view of the above-mentioned circumstances, and an object of the present invention is to provide an image signal processing device that can make the blurred direction of an image non-uniform and obtain a visually preferable blurred image. The purpose is to 80 Means for Solving the Problems An image signal processing apparatus according to the present invention includes a filter means for performing asymmetric filter processing such as diffusing pixels at least once on input image data, and a and diffusion direction determining means for determining the diffusion direction of pixels during asymmetric filter processing, the diffusion direction determining means determining the diffusion direction in accordance with image data supplied to the filter means. The above-mentioned problem is solved by configuring the diffusion direction to be determined in accordance with predetermined control image data or in accordance with predetermined control image data. The diffusion direction of pixels during the 10-effect asymmetric filter processing is determined depending on the image data supplied to the filter means or in accordance with predetermined control image data and becomes non-uniform. You can get a blurred image. G. Embodiments Hereinafter, embodiments to which the present invention is applied will be described with reference to the drawings. FIG. 1 is a block diagram showing a schematic configuration of an image processing apparatus according to a first embodiment of the present invention. In the image processing apparatus shown in FIG. The image data written in the memory 3 is read out according to a predetermined processing procedure and sent to the asymmetric filter 4, where it is filtered using asymmetric filter coefficients that are changed for each pixel. and is written into the image memory 3 again via the selected terminal of the changeover switch 2. In the first embodiment shown in FIG. 1, pixel data read out from the image memory 3 is sent to a coefficient determining circuit 5 for determining the pixel diffusion direction, and the value of this pixel data is The bottom of the self-recursive coefficient determination method is shown in which the filter coefficients of the asymmetric filter 4 are determined accordingly. In this way, after the filtering process by the asymmetric filter 4 is repeated a desired number of times, the processed image data is read out from the image memory 3 and taken out via the output terminal 6. Here, a specific example of the blurring process using the self-recursive coefficient determination method will be described. FIG. 2 shows 5×5 pixels in the vicinity of the pixel X33 to be processed, and the center is determined based on at least part of each data of these 25 pixels X, ~XSS. Two-dimensional filter processing is performed such that the data of pixel X0 is calculated. Specifically, for example, eight pixels adjacent to the center pixel x0, X0, Xo, Xo, Xo, Xsa, X
for ass X as and X44, each 3×
For example, pixel X. For, nine pixels X0, Lx, Xo,
X! 1, X2ts xtx, Xo, X3 and X3s (
Using each of the data D, these nine data are weighted such that the added value (for example, the average value) is the filtered data at the pixel X. In this way, the center pixel X,
3x3 filtered data are obtained for each of the 8 pixels X0 to X44 adjacent to Processed data. As a result, for a 5×5 area centered on X33, 8
Asymmetric filtering with different diffusion directions can be realized. Here, as to which 3×3 filter processing data of the above-mentioned 8 adjacent pixels XtZ to X44 should be selected (that is, which direction among the above-mentioned 8 types should be used as the pixel diffusion direction), for example, as shown in FIG. This is determined using a diffusion direction determination index such as That is, FIG. 3 shows the area corresponding to the 5×5 pixels X, ~XSS in FIG.

[0] to [7] are indices for determining the data of the center pixel X. In this figure 3

Which of the 3×3 filtered data for each position [0] to [7] is selected is determined by the index value determined according to the data value of the center pixel X0. Specifically, the index value is the number (0th to 7th) from the bottom when the value range of each pixel data is divided into 8 equal parts.For example, if each pixel data is a 16-bit 2 When the complement display data is assumed to take a value between 32768 and +32767, the index value IDX
IDX = (D (Xss)/2 +16384)
/4096 However, D(X32) is the data value of pixel XSS 4096-32768/8, and an index with a numerical value equal to this value IDX [
Let the above 3×3 filtered data of pixels 0] to [7] be 5×5 asymmetric filtered data of center pixel x, 3. In this way, the pixel diffusion direction is determined to be one of eight types of directions prepared in advance. In the case of a color image, such calculation for each pixel is
This is done independently for each color: R (red), G (green), and B (blue). According to the self-recursive coefficient determination method as in the first embodiment, the filter coefficients cannot be controlled, so it has the characteristic that it is impossible to know what kind of results will be obtained until the process is actually performed. However, since the direction of pixel diffusion is asymmetric, it is possible to achieve a visually pleasing blurring process with non-uniform blurring. Next, FIG. 4 shows a schematic configuration of an image processing apparatus using a controlled coefficient determination method as a second embodiment of the present invention. In FIG. 4, image data to be subjected to blurring processing is supplied to the input terminal 11, and is sent to the image memory 13 via the selected terminal a of the changeover switch 12 and written therein. The image data written to the m-image memory 13 is
The asymmetric filter 1 is read out according to a predetermined processing procedure.
4, is subjected to filter processing using asymmetric filter coefficients that are changed for each pixel, and is again written to the image memory 13 via the selected terminal of the changeover switch 12. With the selector switch 12 switched to terminal 1, the process is repeated until a desired blurred image is obtained. In this second embodiment, the coefficient determination circuit 10 determines the coefficients of the asymmetric filter 14 based on each pixel of a control image independent of the processed image. In this case, since the filter coefficient of each pixel can be controlled, blurring and diffusion can be performed with some degree of intention. Here, it is difficult to determine filter coefficients for all pixels, but the following two methods can be considered as simple methods. That is, first, as a first method, filter coefficients are obtained for the original image supplied to the input terminal 11 using the same procedure as in the first embodiment and explained in conjunction with FIGS. 2 and 3. The diffusion direction is determined by using the method, and the determined filter coefficient for each pixel is repeatedly used in a fixed manner. - For this purpose, the same coefficient determining circuit 5 as the coefficient determining circuit 5 of the first embodiment is used as the coefficient determining circuit 10, and as shown by the broken line in FIG. It may be configured to supply Next, the second method is to draw a picture that imagines the diffusion of pixels, decide how the pixels will be diffused for which color, draw a picture based on that, and then draw a picture based on that. The purpose is to obtain a processed image. This second
The advantage of this method is that even an amateur who does not know about processing can control the degree of diffusion. According to the second embodiment, since a control image is used, the filter coefficient for each pixel can be controlled, and a blurred image with a certain degree of intention can be obtained. for example,
Using the original image as the control image (first method above)
This allows you to obtain an image that looks like paint bleeding into water, while preserving the original image. Note that the present invention is not limited to the above-mentioned embodiments, and, for example, the specific configuration of the asymmetric filter is not limited to the examples shown in FIGS. 2 and 3. H0 Effects of the Invention As is clear from the above description, according to the image processing device of the present invention, the direction of pixel diffusion during asymmetric filter processing by the filter means is different from the image data supplied to the filter means. or according to a predetermined system.
Since it is determined according to the iI image data and becomes non-uniform, it is possible to obtain a visually preferable non-uniform blurred image, such as a watercolor painting style or a smudging style, for example.

[Brief explanation of drawings]

FIG. 1 is a block diagram showing a schematic configuration of a first embodiment of an image processing apparatus according to the present invention, FIGS. 2 and 3 are explanatory diagrams for explaining the operation of the first embodiment, and FIG. FIG. 4 is a block diagram showing a schematic configuration of a second embodiment of the image processing apparatus according to the present invention. 1... Image data input terminal 3...
......Image memory 4...Asymmetric filter 0...
...Coefficient determination circuit

Claims (1)

[Claims] (1) A filter means for performing asymmetric filter processing that diffuses pixels multiple times on input image data; and a direction in which pixels are diffused when the asymmetric filter processing is performed by the filter means. An image processing device comprising diffusion direction determining means for determining a diffusion direction according to supplied image data. (2) A filter means for performing asymmetric filter processing that diffuses pixels at least once on input image data, and a predetermined direction in which pixels are diffused when performing the asymmetric filter processing by this filter means. An image processing device comprising: diffusion direction determining means for determining a diffusion direction according to control image data.