TWI465108B - Image capturing apparatus and image processing method - Google Patents

Description

Image capturing device and image processing method

The present invention relates to image capture, and more particularly to an image capture device capable of automatically capturing a photo having a "deep depth of field" effect and an image processing method applied to the image capture device.

In recent years, with the continuous advancement of imaging technology and the continuous innovation of photographic equipment, digital cameras of various types and specifications have been widely used by consumers in daily life and work, becoming a fairly popular electronic in the consumer market. product.

In order to be able to clearly grasp the subject of the shooting, the photographer often wants to be able to take a picture of "clear subject and blurred background", which is the effect of the so-called "shallow depth of field". In general, in the operation of the camera, if you want to achieve the effect of "shallow depth of field", you usually need to meet the following important conditions: large aperture, long focal length, between the subject and the scene behind and in front. Need to maintain a certain distance.

However, since the "solid focal length" of a general consumer digital camera is still much smaller than that of a conventional monocular camera, and if a digital camera wants to use a large aperture lens, the price is bound to be quite expensive, so that it is still difficult for the average consumer. Easily capture photos with a "deep depth of field" effect from a consumer digital camera.

Therefore, the present invention provides an image capturing device and an image processing method applied to the image capturing device to solve various problems encountered in the prior art.

According to an embodiment of the invention, an image capture device is provided. In this embodiment, the image capturing device includes an image capturing module, a computing module, and an image processing module. The image capture module simultaneously captures a plurality of images corresponding to different focus lengths, and divides each image into a plurality of lattice regions to calculate a sharp value of each lattice region. The computing module selects the first image and the second image from the images, and calculates a difference between the sharp values of each of the first image and the second image. When the difference obtained by the computing module is greater than the preset value, the image processing module performs the blurred image processing on the first image, the second image, or the corresponding grid region of the synthesized image synthesized by the first image and the second image. program.

In an actual application, the image capturing device may further include a storage module, a display module, and an intensity selection module. The storage module is configured to store the first image and the second image. When the autofocus program is executed, a focus frame is displayed on the display module. The size, shape or position of the focus frame displayed on the display module can be selected according to the user's operation. The calculation module can only calculate the difference between the sharp values of the lattice regions outside the range of the focus frame in the first image and the second image.

The intensity selection module is used for the user to select the intensity of the image blurring effect generated by the image processing module after performing the blurred image processing program. When the image blurring effect selected by the user through the intensity selection module is high, the second image selected by the computing module from the images is the one with the largest difference in focus length from the first image. When the image blurring effect selected by the user through the intensity selection module is low, the second image selected by the computing module from the images is similar to the difference in focus length of the first image.

Another embodiment of the present invention is an image processing method applied to an image capture device. In this embodiment, the image processing method includes the following steps: First, the method performs an auto-focusing process in the preview mode, and simultaneously captures a plurality of low-resolution images respectively corresponding to different focus lengths; secondly, the method Each low-resolution image is divided into a plurality of lattice regions, and the sharp value of each lattice region is calculated; after the auto-focusing process is completed, the method takes a high-resolution image. The high-resolution image corresponds to the first low-resolution image in the low-resolution images, and the high-resolution image has the same focus length and the same number of lattice regions as the first low-resolution image. Then, the method selects a second low-resolution image different from the focus length from the low-resolution images, and calculates a sharp value of each of the first low-resolution image and the second low-resolution image. The difference. When the difference between the sharp values is greater than a preset value, the method performs a blurred image processing procedure on the corresponding grid region of the high-resolution image.

Another embodiment of the present invention is also an image processing method applied to an image capturing device. In this embodiment, the image processing method includes the following steps: First, the method captures a plurality of high-resolution images after completing the auto-focusing process; secondly, the method divides each high-resolution image into a plurality of lattice regions. And calculating a sharp value of each of the lattice regions; then, the method selects the first high-resolution image and the second high-resolution image respectively corresponding to different focus lengths from the high-resolution images, and calculates the first high a difference between a sharpness value of each of the resolution image and the second high-resolution image; when the difference is greater than a preset value, the method is for the first high-resolution image, the second high-resolution image, or The blurred image processing program is executed by the corresponding lattice region of the synthesized high-resolution image synthesized by the first high-resolution image and the second high-resolution image.

Compared with the prior art, the image capturing device and the image processing method applied to the image capturing device according to the present invention are a plurality of low-resolution images captured by the auto-focusing program corresponding to different focusing lengths. Or the plurality of high-resolution images captured after the completion of the auto-focusing process are divided into a plurality of lattice regions, and the sharp values of each of the lattice regions are calculated, and then the high-resolution image or a partial lattice of the synthesized image thereof is automatically automatically calculated according to the calculation result. The area performs the blurred image processing program, so that the photographer does not need to perform complicated operation steps when shooting, and the image capturing device does not need to perform other complicated processing procedures, and the image capturing device and the application of the invention can be used. The image processing method of the image capturing device easily captures a photograph of the "shallow depth of field" effect of "clear subject and blurred background".

In addition, the image capturing device of the present invention and the image processing method applied to the image capturing device can also allow the user to view the shallow depth of field effect of the last captured photo in the preview mode and pass the touch. The details of the screen or button are adjusted to achieve the best "shallow depth of field" effect.

The advantages and spirit of the present invention will be further understood from the following detailed description of the invention.

According to an embodiment of the invention, an image capture device is provided. In an actual application, the image capturing device may be a digital camera, a mobile phone or other electronic device having a camera function, and is not particularly limited. Please refer to FIG. 1. FIG. 1 is a functional block diagram of the image capturing device.

As shown in FIG. 1 , the image capturing device 1 includes an image capturing module 10 , a computing module 12 , an image processing module 14 , a storage module 16 , a display module 18 , and an intensity selection module 20 . The computing module 12 is coupled to the image capturing module 10; the image processing module 14 is coupled to the computing module 12; the storage module 16 is coupled to the image capturing module 10 and the computing module 12; The image processing module 14 and the computing module 12 are connected to the image processing module 14 .

Next, the functions of the respective modules of the image capturing device 1 will be described in detail.

In this embodiment, the image capturing module 10 is configured to simultaneously capture a plurality of images corresponding to different focusing lengths, and divide each image into a plurality of lattice regions to calculate the sharpness of each of the lattice regions. value. It should be noted that the plurality of images may be a plurality of low-resolution images corresponding to different focus lengths captured by the image capturing module 10 when performing an auto-focusing process in the preview mode, or may be image capturing. The plurality of high-resolution images captured by the module 10 after the auto-focusing process is completed. The storage module 16 can be a DRAM or any other type of memory for storing the low-resolution images or the high-resolution images without particular limitation.

In fact, the low-resolution image described above may be a VGA format image with a lower resolution (640×480); the high-resolution image may be a higher resolution image format, such as 1080p with a resolution of (1920×1080). Format image, but not limited to this.

It is assumed that the images are a plurality of low-resolution images corresponding to different focus lengths when the image capturing module 10 executes the auto-focusing program in the preview mode. In the auto-focusing process, the image capturing device 1 will Automatically scan from the farthest infinity (∞) focal length to the nearest focal length of 0, and determine the best focal length at this time. For example, as shown in FIG. 2, the image capturing module 10 captures the first frame image (focal length = ∞) L1 and second with low resolution (VGA format) at certain focal lengths. Frame image (focal length = 5 meters) L2, third frame image (focal length = 1 meter) L3 and fourth frame image (focal length = 50 cm) L4, but not limited to this.

Then, the image capturing module 10 divides the low-resolution images L1 to L4 into a plurality of lattice regions, and calculates sharp values of each of the lattice regions. In a preferred embodiment, the number of the lattice regions into which the low-resolution image is divided is 9 ⁿ , and n is a positive integer. As shown in FIG. 3, the low-resolution image L1 is divided into 9 ² = 81 lattice regions G, but is not limited thereto. In fact, the image capturing module 10 needs to divide the low-resolution images L1~L4 into a plurality of lattice regions depending on the actual needs of the photographer. Of course, if the lattice region is divided finer, the resulting image is finally obtained. The effect may be more detailed, but the image capture module 10 also needs to be processed for a relatively long time and with more resources.

It should be noted that, since the computing module 12 further performs the comparison of the sharp values of the corresponding lattice regions of different frame images, the image capturing module 10 needs to perform the low-resolution images L1 to L4. Split into the same number and size of the grid area to facilitate the subsequent procedures.

After the above autofocus procedure is completed, if the optimal focal length is 1 meter, which corresponds to the third frame image L3 with low resolution, the image capturing module 10 will be based on the optimal focal length (1 meter). A high-resolution image is captured and divided into the same number of lattice regions as the third frame image L3, so that the high-resolution image and the third-frame image L3 have the same focus length and the same number of lattice regions.

After the image capturing module 10 calculates the sharp values of each of the low-resolution images L1 L L4, the computing module 12 will receive the first frame image L1, the second frame image L2, and the third frame. The third frame image L3 corresponding to the optimal focal length and any one of the other three frames are selected from the image L3 and the fourth frame image L4 (ie, the first frame image L1, the second frame image L2 or the fourth image) The frame image L4) calculates a difference between the sharpness values of each of the third frame image L3 and the other frame image (the first frame image L1, the second frame image L2, or the fourth frame image L4).

For example, if the calculation module 12 selects the third frame image L3 and the second frame image L2, the calculation module 12 will calculate each of the third frame image L3 and the second frame image L2. For the difference between the sharp values, please refer to Figure 4. As shown in FIG. 4, all the lattice areas include a lattice area K filled with oblique lines and a non-filled lattice area N, wherein the lattice area K filled with oblique lines represents the sharp value of the lattice areas. The difference is greater than the preset value, that is, the image similarity in the lattice area K of the third frame image L3 and the second frame image L2 is low; and the unfilled lattice area N represents the lattice area The difference between the sharp values is less than or equal to the preset value, that is, the image similarity between the third frame image L3 and the second frame image L2 is higher. In fact, the size of the above preset value may be determined according to actual needs, and there is no specific limitation.

Since the image similarity in the lattice area N is high and the image similarity in the lattice area K is low, the image representing the inside of the lattice area N is likely to be a subject to be sharpened, and the image in the lattice area K is likely to be The image processing module 14 performs a blurred image processing program on the grid area K corresponding to the background or the foreground in the high-resolution image according to the calculation result illustrated in FIG. 4, so that the image processing module 14 performs the blurring image processing program according to the calculation result illustrated in FIG. It becomes more ambiguous, and as for the lattice area N corresponding to the subject in the high-resolution image, the original sharpness is maintained.

In the above example, the calculation module 12 does not necessarily calculate the difference between the sharp values of each of the third frame image L3 and the second frame image L2. As shown in FIG. 5, when the image capturing device 1 executes the autofocus program, the focus frame 180 is displayed on the display module 18 of the image capturing device 1, and the computing module 12 can calculate only the third frame image L3 and the The difference between the sharp values of the lattice regions outside the range of the focus frame 180 in the two-frame image L2 can save time and resources for partial calculation. In a practical application, the size, shape or position of the focus frame 180 displayed on the display module 18 can be selected according to a user operation. For example, the focus frame 180 can be a traditional square frame or a frame of any shape. There are no specific restrictions.

The intensity selection module 20 is used for the user to select the intensity of the image blurring effect generated by the image processing module 14 after performing the blurred image processing program. That is, the user can use the intensity selection module 20 to The degree to which the image processing module 14 blurs the background or foreground in the photo is controlled. When the image blurring effect selected by the user through the intensity selection module 20 is high, the user desires to make the background or foreground in the photo very blurred. Therefore, the computing module 12 will select the best focal length. The third frame image L3 of the length and the first frame image L1 having the largest difference in focus length from the third frame image L3 are used to calculate the difference between the sharp values of the two lattice regions.

On the contrary, when the image blurring effect selected by the user through the intensity selection module 20 is low, the representative user does not want to make the background or foreground in the photo too blurred. Therefore, the computing module 12 will select the corresponding The third frame image L3 and the fourth frame image L4 of the third frame image L3 having the best focal length and the difference in the focus length of the third frame image L3 are used to calculate the difference between the sharp values of the lattice regions of the two frames.

In summary, the image capturing device 1 divides a plurality of low-resolution images captured in the auto-focusing program corresponding to different focusing lengths into a plurality of lattice regions and calculates a sharp value of each of the lattice regions, and then The blurred image processing program is automatically executed on a partial lattice area of the high-resolution image according to the calculation result. In addition, the user can preview the shallow depth of field effect of the photo taken by the low-resolution image in the preview mode, and adjust the detail through the touch screen or the button, so that the high-resolution image is finally captured. The photo achieves the best "shallow depth of field" effect.

In another example, it is assumed that the image capturing module 10 captures a plurality of high-resolution images after completing the auto-focusing process, and divides each high-resolution image into a plurality of lattice regions to calculate each of the lattice regions. Sharp value. Then, the computing module 12 selects the first high-resolution image and the second high-resolution image respectively corresponding to different focus lengths from the high-resolution images, and calculates the first high-resolution image and the second highest image. The difference in sharpness values for each of the grid regions (or the grid regions outside the range of the focus frame) in the resolution image.

When the difference between the sharp values obtained by the computing module 12 is greater than a preset value, the image processing module 14 will be the first high-resolution image, the second high-resolution image, or the first high-resolution image and the first The corresponding lattice region of the synthesized image synthesized by the two high-resolution images performs a blurred image processing program. That is to say, the last photo with the "shallow depth of field" effect is not necessarily the result of the image processing module 14 directly obscuring one of the two high-resolution images, or the two high resolutions may be first After the image is synthesized, the result of the blurring process is performed. Similarly, the user can control the image processing module 14 to blur the background or foreground in the photo through the intensity selection module 20, and details are not described herein.

Another embodiment of the present invention is an image processing method. In this embodiment, the image processing method is applied to the image capturing device disclosed in the above embodiments, such as a digital camera, a mobile phone, or other electronic device having a photographing function, but is not limited thereto.

Please refer to FIG. 6. FIG. 6 is a flowchart of the image processing method. First, the method performs step S10, and the user selects the intensity of the image blurring effect generated after the execution of the blurred image processing program by the image capturing device.

Next, the method performs step S12, performing an auto-focusing process in the preview mode, and simultaneously capturing a plurality of low-resolution images respectively corresponding to different focus lengths. In fact, when the autofocus program is executed, a focus frame is displayed on the display screen of the image capture device, and the size, shape or position of the focus frame displayed on the display screen can be selected according to the user's operation.

Then, the method performs step S14 to separately segment each low-resolution image into a plurality of lattice regions, and calculate a sharp value of each lattice region. In fact, the number of the lattice regions into which the low-resolution image is divided may be 9 ⁿ , and n is a positive integer, but is not limited thereto.

Then, when the auto-focusing process is completed, the method proceeds to step S16 to take a high-resolution image. It should be noted that the high-resolution image corresponds to the first low-resolution image in the low-resolution images, wherein the high-resolution image has the same focus length and the same number as the first low-resolution image. Plaid area.

Then, the method performs step S18, selecting a second low-resolution image different from the focus length of the first low-resolution image from the low-resolution images, and calculating the first low-resolution image and the second low-resolution image. The difference in sharpness values for each of the grid regions in the image. In fact, in step S18, the method does not have to calculate the difference between the sharp values of each of the lattice regions, and may only calculate the lattices of the first low-resolution image and the second low-resolution image that are outside the range of the focus frame. The difference in the sharpness of the area.

In addition, in step S10, the user has selected the intensity of the image blurring effect generated after the execution of the blurred image processing program by the image capturing device, and if the user selects the image blurring effect. If the value is high, the second low-resolution image selected in step S18 should be the one with the largest difference in the focus length between the low-resolution images and the first low-resolution image; if the user selects the image blurring effect If it is low, the second low-resolution image selected in step S18 should be the same as the focus length of the first low-resolution image in the low-resolution images.

When the difference between the sharp values obtained in step S18 is greater than the preset value, the method performs step S20 to execute the blurred image processing program on the corresponding grid region of the high-resolution image. That is to say, when the difference between the sharpness values of some lattice regions is greater than the preset value, it means that the image similarity in the lattice regions is low, which is likely to be the background or foreground to be blurred, therefore, the method is The fuzzification image processing program is performed on the grid regions corresponding to the background or the foreground in the high-resolution image according to the calculation result similar to FIG. 4, so that the blurring image processing program becomes more blurred, and the high-resolution image corresponds to the photographing subject. The grid area maintains the original clarity.

Another embodiment of the present invention is also an image processing method. In this embodiment, the image processing method is applied to the image capturing device disclosed in the above embodiments, such as a digital camera, a mobile phone, or other electronic device having a photographing function, but is not limited thereto.

Please refer to FIG. 7. FIG. 7 is a flowchart of the image processing method. First, the method performs step S30, and the user selects the intensity of the image blurring effect generated after the execution of the blurred image processing program by the image capturing device.

Then, after the image capturing device completes the auto-focusing process, the method proceeds to step S32 to capture a plurality of high-resolution images. In fact, when the image capturing device performs the autofocus program, a focus frame will be displayed on the display screen of the image capturing device, and the size, shape or position of the focus frame displayed on the display screen can be operated by the user. And selected.

Then, the method performs step S34 to separately segment each high-resolution image into a plurality of lattice regions, and calculate a sharp value of each lattice region. In fact, the number of the lattice regions into which the high-resolution image is divided may be 9 ⁿ , and n is a positive integer, but is not limited thereto.

Then, the method performs step S36, and selects a first high-resolution image and a second high-resolution image respectively corresponding to different focus lengths from the high-resolution images, and calculates the first high-resolution image and the second highest image. The difference in sharpness values for each of the trellis regions in the resolution image. In fact, in step S36, the method does not have to calculate the difference between the sharp values of each of the lattice regions, and may only calculate the lattices of the first high-resolution image and the second high-resolution image that are outside the range of the focus frame. The difference in the sharpness of the area.

In addition, in step S30, the user has selected the intensity of the image blurring effect generated after the execution of the blurred image processing program by the image capturing device, and if the image blurring effect selected by the user is used. If the value is high, the second high-resolution image selected in step S36 should be the one with the largest difference in the focus length between the high-resolution images and the first high-resolution image; if the image blurring effect selected by the user is If it is low, the second high-resolution image selected in step S36 should be the same as the focus length of the first high-resolution image in the high-resolution images.

When the difference between the sharp values obtained in step S36 is greater than the preset value, the method performs step S38, for the first high-resolution image, the second high-resolution image, or the first high-resolution image and the second high-resolution image. The corresponding raster region of the synthesized high-resolution image synthesized by the image performs a blurred image processing program. That is to say, when the difference between the sharpness values of some lattice regions is greater than the preset value, it means that the image similarity in the lattice regions is low, which is likely to be the background or foreground to be blurred, therefore, the method is The fuzzification image processing program is performed on the one of the two high-resolution images or the composite image corresponding to the background or the foreground according to the calculation result, so that the blurring image processing program is made more fuzzy, and the other corresponding to the shooting subject The lattice area maintains the original definition.

Compared with the prior art, the image capturing device and the image processing method applied to the image capturing device according to the present invention are a plurality of low-resolution images captured by the auto-focusing program corresponding to different focusing lengths. Or the plurality of high-resolution images captured after the completion of the auto-focusing process are divided into a plurality of lattice regions, and the sharp values of each of the lattice regions are calculated, and then the high-resolution image or a partial lattice of the synthesized image thereof is automatically automatically calculated according to the calculation result. The area performs the blurred image processing program, so that the photographer does not need to perform complicated operation steps when shooting, and the image capturing device does not need to perform other complicated processing procedures, and the image capturing device and the application of the invention can be used. The image processing method of the image capturing device easily captures a photograph of the "shallow depth of field" effect of "clear subject and blurred background".

In addition, the image capturing device of the present invention and the image processing method applied to the image capturing device can also allow the user to view the shallow depth of field effect of the last captured photo in the preview mode and pass the touch. The details of the screen or button are adjusted to achieve the best "shallow depth of field" effect.

The features and spirit of the present invention will be more apparent from the detailed description of the preferred embodiments. On the contrary, the intention is to cover various modifications and equivalents within the scope of the invention as claimed.

S10~S20, S30~S38. . . Process step

1. . . Image capture device

10. . . Image capture module

12. . . Computing module

14. . . Image processing module

16. . . Storage module

18. . . Display module

20. . . Strength selection module

L1. . . First frame image

L2. . . Second frame image

L3. . . Third frame image

L4. . . Fourth frame image

G. . . Lattice area

K. . . a grid area where the difference in sharp values is greater than a preset value

N. . . a grid area where the difference between the sharp values is less than or equal to the preset value

180. . . Focus frame

1 is a functional block diagram of an image capture device in accordance with an embodiment of the present invention.

FIG. 2 is a schematic diagram of capturing a plurality of low-resolution images corresponding to different focus lengths when the auto-focus program is executed in the preview mode.

FIG. 3 is a schematic diagram showing the image capturing module dividing the low-resolution image L1 into 81 grid regions.

FIG. 4 is a diagram showing a result of calculating a difference between sharp values of each of the third frame image and the second frame image by the calculation module.

FIG. 5 is a schematic diagram showing the focus frame displayed on the display module when the image capturing device executes the auto focus program.

FIG. 6 is a flow chart showing an image processing method according to another embodiment of the present invention.

FIG. 7 is a flow chart showing an image processing method according to another embodiment of the present invention.

1. . . Image capture device

10. . . Image capture module

12. . . Computing module

14. . . Image processing module

16. . . Storage module

18. . . Display module

20. . . Strength selection module

Claims (14)

An image processing method applied to an image capturing device, comprising the steps of: (a) performing an auto-focusing process in a preview mode, and simultaneously capturing a plurality of low-resolution images respectively corresponding to different focusing lengths; (b) Separating each low-resolution image into a plurality of lattice regions and calculating a sharp value of each of the lattice regions; (c) after completing the auto-focusing process, capturing a high-resolution image, the high-resolution image system Corresponding to one of the first low-resolution images of the low-resolution images, wherein the high-resolution image has the same focus length and the same number of grid regions as the first low-resolution image; (d) from the Selecting a second low-resolution image different from the focus length of the step (c) in the low-resolution image, and calculating a sharp value of each of the first low-resolution image and the second low-resolution image And (e) when the difference of the step (d) is greater than a predetermined value, performing a blurred image processing program on the corresponding lattice region of the high-resolution image; wherein, in the step (a), When performing this auto focus In the sequence, a focus frame is displayed on the display screen of one of the image capturing devices, and the size, shape or position of the focus frame displayed on the display screen can be selected according to a user operation; in step (d), only Calculating a difference between the sharpness values of the first low-resolution image and the second low-resolution image that are outside the range of the focus frame. The image processing method according to claim 1, wherein in the step (b), the number of the lattice regions into which the low-resolution image is divided is 9 ⁿ , and n is a positive integer. The image processing method of claim 1, wherein before performing step (a), the user can select the intensity of the image blurring effect generated by the blurred image processing program after the image capturing device is executed. . The image processing method of claim 3, wherein if the image blurring effect selected by the user is high, then in the step (d), the second low-resolution image is the low-resolution image. The difference between the focus length in the image and step (c) is the largest. The image processing method of claim 3, wherein if the image blurring effect selected by the user is low, then in the step (d), the second low resolution image is the low resolution. The image is similar to the focus length of step (c). An image processing method applied to an image capturing device includes the following steps: (a) capturing a plurality of high-resolution images after completing an auto-focusing process; and (b) dividing each of the high-resolution images into a plurality of squares And calculating a sharp value of each of the lattice regions; (c) selecting, from the high-resolution images, a first high-resolution image and a second high-resolution image respectively corresponding to different focus lengths, and calculating the a difference between a sharpness value of each of the first high-resolution image and the second high-resolution image; and (d) when the difference of the step (c) is greater than a predetermined value, the first a high resolution image, the second high resolution image, or the first high resolution image Performing a blurred image processing program corresponding to the corresponding lattice region of the synthesized high-resolution image synthesized by the second high-resolution image; wherein, before performing step (a), when the auto-focusing program is executed, the image is One of the capture devices displays a focus frame displayed on the screen, and the size, shape or position of the focus frame displayed on the display screen can be selected according to the user's operation; in step (c), only the first high resolution is calculated. The difference between the sharpness value of the lattice image and the lattice area outside the range of the focus frame in the second high-resolution image. The image processing method according to claim 6, wherein in the step (b), the number of the lattice regions into which the high-resolution image is divided is 9 ⁿ , and n is a positive integer. The image processing method of claim 6, wherein before performing step (a), the user can select the intensity of the image blurring effect generated by the blurred image processing program after the image capturing device is executed. . The image processing method of claim 8, wherein if the image blurring effect selected by the user is high, in the step (c), the second high-resolution image is the high-resolution image. The difference in the focus length between the image and the first high-resolution image is the largest. The image processing method according to claim 8, wherein if the image blurring effect selected by the user is low, in the step (c), the second high-resolution image is the high-resolution image. The image has a similar focus length to the first high-resolution image. An image capturing device comprising: An image capturing module is configured to simultaneously capture a plurality of images corresponding to different focusing lengths, and divide each image into a plurality of lattice regions to calculate a sharp value of each of the lattice regions; And the image capturing module is configured to select a first image and a second image from the images, and calculate a sharp value of each of the first image and the second image The image processing module is coupled to the computing module. When the difference obtained by the computing module is greater than a predetermined value, the image processing module is configured to the first image and the second image. Performing a blurred image processing program on the image or a corresponding grid region of the composite image formed by the first image and the second image; a storage module coupled to the image capturing module for storing the image An image and a second image; a display module coupled to the image processing module, when the autofocus program is executed, a focus frame is displayed on the display module, and the focus frame is displayed on the display module The size, shape or position of the top can be used Strength blurring effect resulting image after intensity and a choosing module, coupled to the image processing module for the user to select the image processing module performs the blurring image processing program; operation selected. The image capture device of claim 11, wherein the calculation module calculates only a difference between the sharpness values of the lattice regions outside the range of the focus frame in the first image and the second image. The image capturing device of claim 11, wherein when used The image blurring effect selected by the intensity selection module is high, and the second image selected by the computing module from the images is the one having the largest difference in focus length from the first image; The image blurring effect selected by the intensity selection module is low, and the second image selected by the computing module from the images is similar to the difference in focus length of the first image. The image capturing device of claim 11, wherein the image capturing module performs an auto-focusing process in the preview mode and simultaneously captures a plurality of images corresponding to different focusing lengths. Low resolution image.