JP2734099B2 - Blur image synthesis processing method - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION [Summary] A blurred image synthesizing method for synthesizing a blurred image in image processing so as to obtain an image with a three-dimensional effect by synthesizing the blurred image so as not to give a sense of discomfort. The first processing includes combining the front image data and the background image data in accordance with the mask image data to generate combined image data, In the processing, predetermined blurring processing is performed on the whole of the composite image data, in the third processing, predetermined blurring processing is performed on the entirety of the mask image data, and in the fourth processing, the second and third processing are performed. For both processing results, a product of pixel information between corresponding pixels is generated. In a fifth processing, a predetermined inversion processing is performed on the processing result of the third processing. In a sixth processing, a fifth processing is performed. Processing result and the background image data A seventh process generates a product of pixel information between corresponding pixels, and a seventh process generates blurred composite image data based on a sum of the pixel information between the corresponding pixels for both processing results of the fourth and sixth processes. The configuration is as follows.

[Industrial applications]

The present invention relates to a blurred image combining method in image processing.

[Problems to be solved by conventional technology and invention]

In the case of giving a sense of distance between a front image and a background in a two-dimensional image, a method of blurring the front image or the background is used.

Such a blurred image can be created by actually placing an object to be a foreground image in front of the background, photographing with a camera, and then shifting the focus on one side. Since it is necessary to prepare for shooting the background and the object together, it may be inconvenient. Therefore, it is extremely convenient if the front image and the background image can be combined using the existing image data, and in that case, any necessary blur can be added to the front image and the background image.

An object of the present invention is to provide a blurred image synthesizing method capable of synthesizing blurred images so as not to give a sense of incongruity and obtaining an image having a three-dimensional effect.

[Means for solving the problem]

 FIG. 1 is a flowchart of a process showing the configuration of the present invention.

The figure shows the configuration of a blurred image synthesizing processing method. This method has first to seventh processings. The first processing 1 is to convert front image data 10 and background image data 11 to mask image data 12. The second process 2 performs a predetermined blurring process on the entirety of the combined image data 13, and the third process 3 performs a predetermined blurring process on the entirety of the mask image data 12. A blurring process is performed, and a fourth process 4 generates a product of pixel information between corresponding pixels for both the processing results 14 and 15 of the second and third processes, and a fifth process 5 performs a third process 5
A predetermined inversion processing is performed on the processing result 15 of the processing of the above, and the sixth processing 6 generates a product of pixel information between corresponding pixels with respect to the processing result 16 of the fifth processing and the background image data 11, The seventh process 7 is a process result 17 of both the fourth and sixth processes and
For 18, by the sum of the pixel information between the corresponding pixels,
Generate blurred composite image data 19 [Operation] As described above, by applying a mask image by blurring, the boundary between the front image and the background image is smoothly synthesized. Can be issued.

〔Example〕

FIG. 2 shows an example of the configuration of an image processing system, and a processing device.
20 starts the process according to the image synthesis designation from the input / output device 21, and specifies the designated front image data 22, background image data 23,
The mask image data 24 is input, the processing shown in FIG. 1 is executed, and the composite image data 25 is output. Here, the front image data 22 and the background image data 23 include information indicating the density of each pixel. In the case of a color image, for example, as is well known, for each pixel, the three primary colors of red, green, and blue are used. Since there is information, the processing of FIG. 1 is performed for each primary color.

The mask image data is, for example, 0 to 255 for each pixel.
In the mask image data to be input first, the mask value of a pixel to be extracted as a front image from the front image data is set to 255, and the mask value of a portion to be excluded is set to 0.

As shown in FIG. 1, the processing device 20 includes front image data 10 and background image data for each single color of the above image data.
11 and the mask image data 12 are processed as described below. Note that the mask image data 12 has the contents of a mask for cutting out the front image as described above in common for each single color.

Processing step 1 consists of background image data 11 and front image data
This is a normal combining process for combining the 10 images as they are in accordance with the mask image data 12, and referring to the mask image data 12, the pixels corresponding to the mask value 255 as the pixels of the combined image data 13 are the front image data. The pixels of the background image data 11 are output to the ten pixels and the pixels corresponding to the mask value 0.

In processing step 2, the composite image data 13 is input,
Perform blur processing on the entire image. The blurring process is known (for example, see “Introduction to Computer Image Processing”, page 43, issued by Soken Shuppan Co., Ltd.). In processing step 30 shown in detail in FIG. The data was converted into spatial frequency domain data, and in the processing step 31, this frequency domain data was processed with a Gaussian window function corresponding to the specified blurring rate, and a frequency reduction process was performed to attenuate greatly from a low frequency to a high frequency. Thereafter, in processing step 32, the density is returned to the pixel density value by the inverse Fourier transform.

In this way, by reducing high-frequency components, which are often present in a portion where the density changes rapidly, such as a boundary portion, the entire image is blurred to a smooth feeling. It is assumed that a value determined according to a required degree of distance or the like is specified as the blurring ratio, for example, as a parameter of the previously input synthesis processing specification.

In the processing step 3, the same blur processing as described above is performed on the mask image data 12 to generate the blur mask image data 15, and the blur mask image data 15 and the whole-surface blur image data 14 output from the processing step 2 are processed. In processing step 4, an operation b × m / 25 for obtaining a product between the density value b of the latter pixel and the corresponding mask value m of the former pixel
By performing step 5, the front image is cut out again from the composite image using the blurred mask, and the result is blurred as front image data 17.

Next, in order to process the background, the mask value of the blur mask image data 15 is inverted in processing step 5. In the inversion processing, the mask value m to 255-m for each pixel of the mask image data 15 is set as a mask value, and the blurred inverted mask image data 16 is obtained.

This blur inversion mask image data 16 and background image data
With respect to 11, a calculation for obtaining a product similar to that of the processing step 4 is executed in the processing step 6, and the blurred background image data 18 is obtained.
Get. Therefore, the blurred background image data 18 is an image obtained by cutting out the background using a blurred mask. Finally, in processing step 7, the sum of the pixel values between the corresponding pixels of the blurred front image data 17 and the blurred background image data 18 is obtained to obtain blurred composite image data 19.

〔The invention's effect〕

As is apparent from the above description, according to the present invention, in the blurring image synthesis processing in the image processing, the blurred images are synthesized so as not to have a sense of incongruity, and an image having a three-dimensional effect is obtained only by the image data synthesis processing. Can be obtained.

[Brief description of the drawings]

 FIG. 1 is a flowchart of a process showing the configuration of the present invention, FIG. 2 is a block diagram of a configuration example of an image processing system, and FIG. 3 is a flowchart of a blurring process. In the figure, 1 to 7, 30 to 32 are processing steps, 10 and 22 are front image data, 11 and 23 are background image data, 12 and 24 are mask image data, 13 is composite image data, and 14 is whole-surface blurred image data. , 15 is a blur mask image data, 16 is a blur inverted mask image data, 17 is a blur front image data, 18 is a blur background image data, 19, 25 is a blur composite image data, 20 is a processing device, and 21 is an input / output device. Show.

Claims (1)

(57) [Claims] An image processing apparatus includes first to seventh processing, wherein a first processing (1) combines front image data (10) and background image data (11) according to mask image data (12). The second process (2) performs a predetermined blurring process on the whole of the combined image data (13), and the third process (3) performs the masking process on the mask. A predetermined blurring process is performed on the entire image data (12), and a fourth process (4) is a process in which pixel information between corresponding pixels is obtained for both processing results (14) and (15) of the second and third processes. The fifth processing (5) performs a predetermined inversion processing on the processing result (15) of the third processing, and the sixth processing (6) performs the processing result ( 16) and the background image data (11), a product of pixel information between corresponding pixels is generated, and a seventh process (7) includes a fourth and a sixth process Both processing the results (17) (18), accommodated by the sum of pixel information between pixels, blurred image synthesis processing method, characterized by being configured to generate a blurred synthesized image data (19) of.