JP2009177508A - Imaging apparatus, and image-effect adding program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To prevent the unnatural effect of an image effect added to an image while shortening a processing time adding the image effect. <P>SOLUTION: An imaging apparatus includes a region-extraction means extracting a region changing the image effect added to an original image as an object region from the original image obtained by imaging and an effect-setting means setting so that the image effect in the object region extracted by the region-extraction means and the image effect in the outside of the object region are made to differ mutually. The imaging apparatus further includes an image-generating means generating a mask image for the image effect added to the original image on the basis of the setting of the image effect by the effect-setting means and an image synthetic means synthesizing the mask image generated by the image-generating means to the original image. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to an imaging apparatus and an image effect addition program that apply an image effect to a captured image.

  Conventionally, for example, a cross filter is attached to a lens of a digital camera to capture an image, or an image effect is added by executing processing for adding an image effect similar to that of a cross filter to an image obtained by imaging. It is common practice to acquire images.

For example, when performing a process of adding an image effect to an image obtained by imaging (hereinafter referred to as an original image), if the image effect is directly added to the original image, the process of adding the image effect takes time. From the reduced image obtained by reducing the original image, an image to be used as an image effect (hereinafter referred to as a mask image) is created, and the created mask image is enlarged to the same angle of view as the original image, and then combined with the original image. (See Patent Document 1).
JP 2006-213121 A

  In the above-described processing for adding an image effect, a pixel having a high luminance among the pixels constituting the image is detected as a bright spot, and the image effect is added based on the detected bright spot. For example, when a cross filter effect is added as an image effect, the number of cross lines used as the cross filter effect in advance is the number of lines selected by the user or the like, or a preset number of lines is used. The length is determined based on the size of the detected bright spot. Since the added image effect depends on the bright spot detected from the image, the added image effect may be unnatural depending on the image. Further, in order to prevent such an image effect from becoming unnatural, whether or not to change a part of the image effect added to the image for each bright spot or to add an image effect is determined. Although it is conceivable to determine for each bright spot, by performing such processing, it takes time to add the image effect.

  The present invention has been invented in order to solve the above-described problems, and prevents an image effect added to an image from becoming unnatural and shortens a processing time for adding the image effect. An object of the present invention is to provide an imaging apparatus and an image effect addition program that can perform the above-described processing.

  An image pickup apparatus according to a first aspect of the present invention includes an area extraction unit that extracts, as a target area, an area that changes an image effect added to the original image, from the original image obtained by imaging, and the target extracted by the area extraction unit An effect setting means for setting the image effect within the area different from the image effect outside the target area; and an image effect for adding to the original image based on the setting of the image effect by the effect setting means. An image generating means for generating a mask image, and an image combining means for combining the mask image generated by the image generating means with the original image are provided. Note that setting the image effect differently includes, for example, changing the strength of the image effect in addition to changing the content of the image effect depending on whether the image effect is within or outside the target region.

  According to a second aspect of the present invention, in the first aspect, the image processing apparatus includes attention area detection means for detecting an attention area used when adding the image effect from the original image, and the effect setting means includes the attention area in the target area. The image effect for each region of interest is set so that the image effect to be added to the region is more emphasized than the image effect to be added to the region of interest outside the target region.

  A third invention is characterized in that, in the first or second invention, the effect setting means sets so as not to add an image effect to a region of interest outside the target region.

  A fourth invention is characterized in that, in the second or third invention, the attention area detection means detects, as an attention area, a pixel having a high luminance from each pixel constituting the original image.

  According to a fifth aspect of the present invention, in any one of the second to fourth aspects, the image reduction means for reducing the original image is provided, and the extraction of the target area by the area extraction means and the attention area by the attention area detection means. Detection is performed by using the original image reduced by the image reduction means, and the image generation means generates the mask image so as to have the same angle of view as the reduced original image. To do.

  According to a sixth aspect of the present invention, in the fifth aspect of the present invention, the image processing device further includes an image enlarging unit that expands the mask image so as to have the same angle of view as the original image. It is characterized by combining with an image.

  According to a seventh invention, in the sixth invention, the image processing device further includes a filter processing unit that performs a filter process on the mask image created by the image generation unit, and the image enlargement unit includes the mask subjected to the filter process. It is characterized by enlarging the image.

  According to an eighth invention, in any one of the first to seventh inventions, the mask image is an image in which a preset pattern is arranged for an image effect, and the effect setting means is provided in the target area. And the pattern arranged outside the target area are set to have different sizes.

  In a ninth aspect based on the eighth aspect, the pattern has a shape in which a plurality of lines are radially extended, and the effect setting means configures the pattern depending on whether or not it is within the target region. The number of lines is set to be different.

  An image effect addition program according to a tenth aspect of the present invention is a method for extracting a target area for changing an image effect on an original image obtained by imaging from the original image, and an image in the target area extracted by the area extraction unit. A step of setting an effect different from an image effect outside the target region, and a step of generating a mask image for an image effect to be added to the original image based on the setting of the image effect by the effect setting means And causing the computer to execute a step of combining the mask image generated by the image generating means with the original image.

  According to the present invention, since the image effect in the image effect mask image is set to be different depending on the region based on the original image, a composite image obtained when the image effect image and the original image are combined is obtained. An unnatural image can be prevented. In addition, when the strength of the image effect is changed in advance, the image effect may not be applied, so that the processing time for applying the image effect can be shortened.

  FIG. 1 is a schematic diagram illustrating an example of the configuration of the digital camera 10. The digital camera 10 is centrally controlled by the CPU 15. Since the operation signals of the operation unit 16 and the release button 17 are input to the CPU 15, the CPU 15 controls each unit of the digital camera 10 based on the input operation signals.

  The imaging optical system 20 includes a zoom lens 22 and a focus lens 23 in addition to the imaging lens 21. The zoom lens 22 is moved along the optical axis direction by the lens driving mechanism 24 when changing the imaging magnification at the time of imaging. The focus lens 23 is finely moved in the optical axis direction by the lens driving mechanism 24 when performing focus adjustment during imaging. The zoom lens 22 and the focus lens 23 are moved by the lens driving mechanism 24. However, the present invention is not limited to this, and the respective lenses may be moved by different lens driving mechanisms.

  The CCD 25 receives subject light incident via the imaging optical system 20, and photoelectrically converts the subject light by accumulating signal charges corresponding to the received light amount. The accumulation of signal charges in the CCD 25 and the output of the accumulated signal charges are controlled by the driver 26.

  The signal charge accumulated by the CCD 25 is output to the AFE circuit 27 as an analog image signal. The AFE circuit 27 includes an AGC circuit and a CDS circuit (not shown). The AFE circuit 27 performs analog processing such as gain control and noise removal on the input analog image signal.

  The DFE circuit 28 converts the analog image signal subjected to the analog processing by the AFE circuit 27 into a digital image signal. The converted digital image signals are collected frame by frame and stored in the buffer memory 30 as digital image data. The driver 26, the AFE circuit 27, and the DFE circuit 28 are controlled based on the operation timing in the timing generator (TG) 31, respectively. Reference numeral 32 denotes a bus, and each part of the digital camera 10 is electrically connected via the bus 32.

  The image processing unit 35 performs image processing such as contour compensation, gamma correction, and white balance adjustment on the digital image data stored in the buffer memory 30. The digital image data subjected to this image processing is subjected to format processing (image post-processing) for compression by a storage method such as the JPEG method, and then stored in the buffer memory 30 again. The digital image data stored in the buffer memory 30 is compressed using a compression rate corresponding to a predetermined compression method.

  For example, when a through image is displayed on the LCD monitor 36 provided in the digital camera 10, compression processing is executed on the digital image data after the image processing using a compression rate that matches the resolution of the LCD monitor 36. And output to the display control unit 37.

  On the other hand, when storing digital image data, a compression process using a compression rate suitable for image storage is performed and stored in the built-in memory 38. The digital image data stored in the built-in memory 38 is written into a storage medium 40 such as a memory card or an optical disk via the media controller 39. As the compression rate for image storage, in addition to the compression rate set for the image storage resolution set in advance in the digital camera 10, the compression rate is set according to the resolution set by the user operating the operation unit 16 in advance. Compression rate.

  The strobe device 41 emits strobe light toward the subject when, for example, the luminance of the subject in the photometric sensor 43 is a predetermined value or less. The strobe light emission timing and amount of light emitted from the strobe device 41 are controlled by a strobe control unit 42.

  In addition to reducing the original image data stored in the built-in memory 38 at a predetermined reduction ratio, the image enlargement / reduction section 50 enlarges the mask image data generated for the image effect at a predetermined enlargement ratio. In order to increase the processing speed when creating mask image data, which will be described later, it is only necessary to increase the reduction ratio described above, but it is also necessary to increase the enlargement ratio when the mask image data is enlarged. The image quality of the enlarged mask image is degraded. Therefore, the reduction rate of the original image data when creating the mask image data is set in consideration of the processing speed and the image quality of the mask image. On the other hand, the enlargement ratio is an enlargement ratio at which the size of the mask image is the same as the size of the original image. As a method for reducing and enlarging image data, a well-known bilinear method and a bicubic method can be cited.

  The image generation unit 51 generates mask image data for image effect to be combined with the original image data. For example, when mask image data is displayed on the LCD monitor 36, a mask image MI having the same angle of view as the reduced image is displayed (see FIG. 2). The mask image MI is an image in which patterns such as cross patterns 66 and 67 having high luminance are arranged on a black background (hatched area 65 indicated by a dot in FIG. 2), for example. Hereinafter, a mask image on which a cross pattern is arranged will be described.

  As is well known, the cross patterns 66 and 67 each have a shape in which a plurality of lines starting from a pixel that is the center of a region of interest described later are radially extended. The size of these cross patterns (the length and thickness of a plurality of lines) is set by an image effect setting unit 57 described later. The colors of the cross patterns 66 and 67 are determined using color information acquired by a color information acquisition unit 57 described later. Specifically, the gradation value of each pixel is determined so that the luminance decreases from the center side of the cross patterns 66 and 67 toward the tip of each line.

  The image generation unit 51 includes an area extraction unit 55, an attention area detection unit 56, a color information acquisition unit 57, and an image effect setting unit 58. The region extraction unit 55 extracts a region (hereinafter referred to as a target region) that changes the image effect added to the original image using the reduced original image. Specifically, an area for changing the size of the cross pattern arranged in the mask image for image effect is extracted from the reduced original image as a target area. One method for extracting the target area is pattern matching. Since pattern matching is well known, its details are omitted here. Examples of the image for pattern matching include an image having a subject such as a building such as a bridge or an object such as a tree. The pattern matching image is stored in the built-in memory 38 in advance. When an object such as a building or a tree is detected from the original image by performing this pattern matching, an area including the pixels constituting the extracted object and its neighboring pixels is extracted as the object area. .

  The attention area detection unit 56 detects an area to which an image effect such as the above-described cross pattern is added (hereinafter, attention area) from the reduced image. The attention area extraction unit 56 refers to the luminance in each of the plurality of pixels constituting the reduced image, extracts high-luminance pixels, and then selects a substantially circular or substantially elliptical shape from these extracted pixels. An area where a plurality of pixels are adjacent to each other is extracted as an attention area. When the attention area is extracted, the pixel that is the center of the attention area is also obtained.

  The color information acquisition unit 57 acquires, as color information, an average value of gradation values of pixels having substantially the same luminance among the peripheral pixels of the attention region detected by the attention region detection unit 56. Using this color information, the gradation value of each pixel constituting the generated cross pattern is determined.

  The image effect setting unit 58 sets the size of the cross pattern arranged in the image effect mask image. As shown in FIG. 2, when a region 68 indicated by a two-dot chain line in the figure is a target region (hereinafter, target region 68), the size of the target region is set for a target region that is out of the target region 68. Based on this, a cross pattern is set.

  On the other hand, the attention area in the target area 68 is set to have a cross pattern having a size (for example, 1.2 times as large) as a predetermined magnification of the cross pattern set based on the attention area. Is done. Thus, the strength of the image effect is set depending on whether or not the attention area is in the target area 68.

  When the cross pattern is set in accordance with the size of the region of interest, table data in which the size of the region of interest and the size of the cross pattern are associated with each other is stored in advance in the internal memory, and the table data is referred to. What is necessary is just to set the magnitude | size of a cross pattern.

  The filter processing unit 59 performs low-pass filter (LPF) processing on the generated mask image data. As shown in FIG. 3, among the 3 × 3 total of nine pixels 71 to 79, the LPF process sets the weight for the pixel 75 at the center to “2” and applies to the pixels 71 to 74 and the pixels 76 to 79. A process for performing a convolution operation with a weighting of “1” is exemplified. For example, a total of nine pixels 71 to 79 of 3 × 3 are described. When the pixel 77 is red, the pixels 74 and 78 are pink, the pixels 71 to 73, the pixels 75 and 76, and the pixel 79 are white, By performing this LPF process, the pixel 75 changes from white to light pink. Since this processing is performed using all the pixels that make up the mask image, an image with a clear boundary between the pattern and the background in the mask image is processed into an image with a blurred boundary between the pattern and the background. Can do.

  The image synthesis unit 60 synthesizes the mask image data and the reduced image data generated by the image generation unit 51, or synthesizes the mask image data enlarged by the image enlargement / reduction unit 50 and the original image data. The image data synthesized by the image synthesis unit 60 is stored in the built-in memory 38.

  Next, a processing procedure for adding an image effect to image data captured by the digital camera 10 will be described with reference to the flowchart of FIG. When the imaging process is executed by the digital camera 10, the image data acquired by imaging is used as original image data, and the process proceeds to step S <b> 101.

  Step S101 is processing for creating reduced image data from original image data. Note that reduced image data is created separately from the original image data and stored in the built-in memory 38 by the processing in step S101.

  Step S102 is processing for generating mask image data using the reduced image data created in step S101. The process for creating the mask image data will be described later. When the generated mask image data is displayed, it becomes a mask image in which one or a plurality of cross patterns are arranged on a black background (see, for example, FIG. 2).

  Step S103 is an LPF process for the mask image data generated in step S102. By performing LPF processing on the mask image data, the mask image becomes an image in which the boundary between the cross pattern and the background is blurred.

  Step S104 is a process of combining the reduced image data and the mask image data.

  Step S105 is a process of displaying on the LCD monitor 36 using the composite image data obtained by executing the process of step S104.

  Step S106 is processing for selecting whether or not to change the image effect of the combined image data. For example, when the image effect is not changed for the synthesized image data, the process proceeds to step S107, and when the image effect is changed for the synthesized image data, the process returns to step S102. Note that changing the image effect means, for example, changing the pattern arranged in the mask image to be combined from the cross pattern to another pattern, or changing the number of lines of the cross pattern and the angle and size of each line of the cross pattern. To do.

  Step S107 is processing for enlarging the mask image data. By performing the processing in step 103, the mask image data is an image in which the boundary between the background and the cross pattern is blurred. Therefore, even if the mask image data is enlarged in step S107, the image quality of the mask image data is degraded. You do n’t have to.

  Step S108 is a process of combining the original image data and the enlarged mask image data. Since the image quality of the mask image data enlarged in step S107 has not deteriorated, there is no sense of incongruity with the cross pattern synthesized with the original image. As a result, an image equivalent to an image obtained by imaging using a cross screen filter can be created in a pseudo and high speed manner. Step S109 is processing for storing the created composite image data in the built-in memory 38. Thereby, the image data to which the image effect is added can be acquired at high speed.

  Next, the process of generating mask image data (step S102 in FIG. 4) will be described using the flowchart of FIG.

  Step S201 is processing for extracting a target area. For the extraction of the target area, the reduced image data created in the process of step S101 is used. For example, as shown in FIG. 6A, in the case of an image obtained by capturing a Christmas tree, the Christmas tree is extracted as an object. Extracted as a region 80) indicated by a chain line. On the other hand, as shown in FIG. 6 (b), in the case of an image obtained by imaging a boy kicking a ball, there is no object in the image, so in such an image, the target region is not extracted. . In the case of FIG. 6B, for example, even when the brightness of a ball or shoes is increased by illumination light, these areas are not extracted as target areas.

  Step S202 is processing for detecting a region of interest using reduced image data. In step S202, a pixel having a high luminance is extracted from the pixels constituting the reduced image, and an adjacent region is selected as a region of interest so that the plurality of extracted pixels are substantially circular or elliptical. To detect. At the time of detecting this attention area, the pixel serving as the center is specified. In FIG. 6A, for example, areas indicated by reference numerals 81 to 85 are detected as attention areas.

  Step S203 is processing for detecting color information of pixels at the periphery of the attention area extracted in step S202. In step S203, pixels having substantially the same luminance are detected from the peripheral region of the region of interest, and a value obtained by averaging the gradation values of the detected pixels is acquired as color information.

  Step S204 is processing to determine whether or not the attention area is inside the target area. In this determination, when the attention area is inside the target area, the process proceeds to step S205, and when the attention area is not inside the target area, that is, outside the target area, the process proceeds to step S206.

  Step S205 is processing for setting a created cross pattern. In step S204, since it is determined that the attention area is inside the target area, in this step S205, a predetermined magnification (for example, 1.2 times) is set with respect to the cross pattern set based on the attention area. The size of the cross pattern (the length of each line of the cross pattern and the thickness of the line) is set so that When the process of step S205 ends, the process proceeds to step S207.

  Step S206 is processing for setting the created cross pattern, as in step S205. Since it is determined in step S204 that the attention area is outside the target area, in this step S206, the size of the cross pattern is set so as to be a normal cross pattern, that is, based on the size of the attention area. Is set. When the process of step S206 ends, the process proceeds to step S207.

  Step S207 is processing for generating a cross pattern based on step S205 or step S206. In the process of step S205, a cross pattern is generated on an image (hereinafter referred to as a reference image) in which the background is black and has the same angle of view as the reduced image. In step S202, since the attention area is detected from the reduced image, a pixel corresponding to the pixel that is the center of the attention area is obtained from the pixels constituting the reference image. A cross pattern is generated so as to be the cross pattern set in S206. At the time of generating the cross pattern, the tone values of pixels constituting the cross pattern are also determined using the color information obtained in step S203. That is, the gradation value of each pixel constituting the cross pattern is determined so that the luminance decreases from the pixel at the center of the cross pattern toward the pixel at the tip of each line.

  For example, when the process of step S205 is executed, a cross pattern having a predetermined magnification is generated with respect to the cross pattern based on the size of the region of interest. On the other hand, when the process of step S206 is performed, a cross pattern based on the size of the attention area is generated.

  Step S208 is processing to determine whether or not a cross pattern has been generated corresponding to all the attention areas. In step S208, if the cross pattern has not been generated for all the attention areas, the process returns to step S204. On the other hand, when the cross pattern has been generated for all the attention areas, the processing ends.

  For example, when an image effect is added to the image shown in FIG. 6A, an image in which the cross pattern arranged in the attention area inside the target area 80 is emphasized can be obtained (see FIG. 7). Although not shown, if there are attention areas inside and outside the extracted target area, and the size of the attention area inside the target area and the attention area outside the target area are the same, the target area The cross pattern placed in the attention area inside the image is larger than the cross pattern placed in the attention area outside the target area. In other words, the image effect to be added is different by extracting the target area. The image effect to be added does not give a sense of incongruity. In addition, when changing the effect of the image effect as the content that makes the image effect different, the strength of the image effect to be added may be automatically set depending on whether or not the attention region is in the target region. it can.

  In the present embodiment, the size of the cross pattern arranged in the target region is set to a predetermined magnification of the size of the cross pattern generated based on the region of interest. However, the present invention is not limited to this. Instead, the length of each line of the cross pattern is made longer than the length of each line of the cross pattern generated based on the region of interest, or the thickness (line width) of each line may be increased. Is possible. In addition to this, the number of lines constituting the cross pattern provided in the target area can be made larger than the number of lines of the cross pattern generated based on the attention area. Further, when detecting the attention area, it is also possible to set the inside of the target area to decrease the luminance value to be detected and increase the number of cross patterns to be drawn.

  In the present embodiment, the cross pattern arranged inside the target area is set to be larger than the cross pattern outside the target area, but the cross pattern arranged inside the target area is set to the cross pattern outside the target area. It is also possible to make it smaller.

  In the present embodiment, the cross pattern based on the size of the attention area is arranged for the attention area outside the target area. However, the present invention is not limited to this. For example, the attention area outside the target area. It is also possible to make the size of the cross pattern arranged for the smaller than the size of the cross pattern generated based on the attention area, or not to place the cross pattern in the attention area outside the target area It is. As shown in FIG. 6B, for example, when the brightness of a ball or shoe is increased by illumination light, the ball or shoe is out of the target area. However, since a region with high luminance is detected as a region of interest among the pixels corresponding to these balls and shoes, no cross pattern is arranged for these regions of interest. In other words, an image effect is added only when the image is extracted as a target area. Therefore, when adding an image effect to such an image, it is possible to prevent the image effect from causing unnaturalness. it can.

  In addition to this, it is also possible to extract a target region after excluding a region to which an image effect is not added in advance. As shown in FIG. 8, for example, in the case of an image obtained by setting to embed the date and time when the image was taken, an area (area indicated by reference numeral 90 in the figure) in which the imaged date and time is embedded is set in advance. Information for embedding the imaged date and time in the image data is attached as accompanying information. In the case where an image effect is added to an image captured with such a setting for embedding the captured date and time, whether or not information for embedding the captured date and time is attached is referred to the incidental information. When the information for embedding the imaged date and time is included in the incidental information, the region of interest is detected after excluding the region for embedding the imaged date and time. Thereby, in the image in which the captured date and time are embedded, it is possible to prevent the attention area from being detected from the area in which the captured date and time are embedded, and the cross pattern added to the attention area and the characters indicating the imaging date and time And the image effect can be prevented from becoming unnatural.

  The same applies to image data in which the date and time captured in advance are embedded. If an image effect is added as it is, a cross pattern is generated in characters indicating the date and time when the image is captured, resulting in an unnatural image. In such a case, from the incidental information attached to the image data, information on whether or not the imaged date and time is embedded is obtained, and when the imaged date and time are embedded, An area in which the captured date and time is embedded is excluded in advance as an area to which no image effect is applied.

  In the present embodiment, the process of automatically extracting the target area by pattern matching or the like is performed. However, the present invention is not limited to this, and the user or the like can determine the target area.

  In the present embodiment, mask image data is created, and the mask image data and the original image data are combined to add an image effect to the original image data. However, the present invention is not limited to this. It is also possible to add an image effect directly to the image data.

  In the present embodiment, a cross pattern is cited as a mask image pattern. However, the present invention is not limited to this, and may be a mark such as a musical note or a heart.

  In the present embodiment, the size of the pattern added in the target area of the pattern added in the target area and the size of the pattern added outside the target area are changed. It is also possible to change the type of pattern added to the pattern and the type of pattern added outside the target area.

  In this embodiment, the reduced image and the mask image are combined and then displayed on the LCD monitor 36. However, the present invention is not limited to this, and the combined image of the original image and the enlarged mask image is reduced. It may be displayed on the LCD monitor 36.

  In the present embodiment, the image enlargement / reduction unit 50, the image generation unit 51, the filter processing unit 59, and the image composition unit 60 are configured separately from the image processing unit 35 and the CPU 15, but are not limited thereto. The image processing unit 35 or the CPU 15 may have the functions of these units.

  In the present embodiment, a digital camera having a function of giving an image effect to a captured image has been described. However, the present invention is not limited to this. For example, the procedure shown in the flowcharts of FIGS. 4 and 5 is executed. An image processing apparatus that can be used may be used. Moreover, the program which can make a computer perform the procedure shown in the flowchart of FIG.4 and FIG.5, and the storage medium which memorize | stores this program and can be read with a computer may be sufficient.

  In the present embodiment, the content is about the cross filter process, but the filter process is not necessarily limited to this. For example, the image effect may be strengthened in the target area in the same way for filter processing such as enhancer processing and soft filter processing.

It is a functional block diagram which shows the outline of the electric constitution of a digital camera. It is explanatory drawing which shows an example of a mask image. It is explanatory drawing which shows the outline of a LPF process. It is a flowchart which shows the flow of the process which adds an image effect. It is a flowchart which shows the flow of the process which produces mask image data. It is explanatory drawing which each shows an example of the image from which a target area is extracted, and the image from which a target area is not extracted. It is explanatory drawing which shows an example of the image to which the image effect was added. It is explanatory drawing which shows an example of the image in which the imaged date was embedded.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 10 ... Digital camera, 50 ... Image expansion / contraction part, 51 ... Image generation part, 55 ... Area extraction part, 56 ... Attention area detection part, 57 ... Color information acquisition part, 58 ... Image effect setting part, 59 ... Filter processing part, 60. Image composition unit

Claims (10)

A region extracting means for extracting, as a target region, a region for changing an image effect added to the original image from the original image obtained by imaging;
Effect setting means for setting differently the image effect in the target area extracted by the area extraction means and the image effect outside the target area;
Image generating means for generating a mask image for an image effect to be added to the original image based on the setting of the image effect by the effect setting means;
An image pickup apparatus comprising: an image combining unit that combines the mask image generated by the image generating unit with the original image. The imaging apparatus according to claim 1,
A region of interest detection means for detecting a region of interest used when adding the image effect from the original image,
The effect setting means is configured to emphasize the image effect added to the attention area in the target area more than the image effect added to the attention area outside the target area. An image pickup apparatus characterized by setting. The imaging device according to claim 1 or 2,
The imaging apparatus according to claim 1, wherein the effect setting means sets so as not to add an image effect to a region of interest outside the target region. The imaging device according to claim 2 or 3,
The image pickup apparatus, wherein the attention area detection unit detects a pixel having a high luminance as an attention area from each pixel constituting the original image. In the imaging device according to any one of claims 2 to 4,
Image reduction means for reducing the original image,
The extraction of the target area by the area extraction unit and the detection of the attention area by the attention area detection unit are executed by using the original image reduced by the image reduction unit,
The imaging apparatus, wherein the image generation unit generates the mask image so as to have the same angle of view as the reduced original image. The imaging device according to claim 5.
Image enlarging means for enlarging the mask image to have the same angle of view as the original image;
The imaging apparatus, wherein the image synthesizing unit synthesizes the enlarged mask image and the original image. The imaging device according to claim 6.
A filter processing unit that performs a filter process on the mask image created by the image generation unit;
The imaging apparatus, wherein the image enlargement means enlarges the mask image subjected to the filter processing. In the imaging device according to any one of claims 1 to 7,
The mask image consists of an image in which a preset pattern is arranged for image effect,
The imaging apparatus according to claim 1, wherein the effect setting means sets a size of a pattern arranged in the target area and a pattern arranged outside the target area so as to be different from each other. The imaging apparatus according to claim 8.
The pattern has a shape in which a plurality of lines are radially extended,
The imaging apparatus according to claim 1, wherein the effect setting means sets the number of lines constituting the pattern to be different depending on whether or not the target area is included. Extracting, from the original image obtained by imaging, a region for changing the image effect added to the original image as a target region;
Setting the image effect within the target region extracted by the region extraction means different from the image effect outside the target region;
Generating a mask image for image effect to be added to the original image based on the setting of the image effect by the effect setting means;
Combining the mask image generated by the image generation means with the original image;
An image effect addition program for causing a computer to execute

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