TWI610277B - Image processing system with depth information and method thereof - Google Patents

Abstract

The present invention discloses an image processing system that utilizes depth of field information and an image processing method thereof. The image processing system includes: a first image capturing unit, a second image capturing unit, a speed detecting unit, and an image processing unit. The first image capturing unit is configured to capture the first image of the external environment. The second image capturing unit is configured to capture a second image of the external environment. The speed detection unit can be used to measure the travel speed value of the mobile vehicle. The image processing unit searches for a plurality of object images existing in the first image and the second image and calculates a depth value of the plurality of object images respectively, or when the traveling speed value exceeds a speed threshold, the image processing unit performs image magnification The mechanism is to magnify the image of the target object in the plurality of object images.

Description

Image processing system using depth of field information and image processing method thereof

The following description relates to an image processing system and an image processing method thereof, and more particularly to an image processing system using image depth information and an image processing method thereof.

When the user is on a moving vehicle, it is often too late to judge the distant object because the speed is too fast. Once the vehicle is close to the target, it is more likely to miss the road to the target because of obeying the traffic rules. For example, when the car is on the highway, it will miss the passage that is going to be made, or the speed of the car is too fast and miss the gas station next to the road.

Although a satellite navigation system installed on a vehicle or a smart phone with a satellite navigation system can be used to remind the user where he is currently and to direct the driver to the destination to which he wants to go, it must rely on the user to enter a clear Destination location, but if the user is in a vehicle that is too fast, the above problem is still very likely to occur.

Therefore, what is urgently needed is a system or method that can solve the above problems.

The embodiment of the present invention is directed to an image processing system utilizing depth of field information and an image processing method thereof, which enable a user to use a dual-lens electronic device and a depth of field information to zoom in on a high-speed mobile vehicle. An image of the target to solve the problem that the user is too late to recognize the target because of the speed.

The embodiment of the present invention is directed to an image processing system using depth of field information and an image processing method thereof, which can utilize an electronic device including a dual lens and a depth of field information to enlarge an image of a distant object and enlarge through an image. The mechanism is to enlarge the image and make the image have a high resolution at the same time.

Based on the above object, the present invention provides an image processing method using depth information, which is applicable to an electronic device, and the electronic device can include an image processing unit, a speed detecting unit, a first image capturing unit, and a first The image capturing method includes the following steps: capturing the first image and the second image of the external environment by using the first image capturing unit and the second image capturing unit. The image processing unit searches for a plurality of object images existing in the first image and the second image. The image processing unit is used to calculate the depth of field values of the plurality of object images. The speed detecting unit measures the traveling speed value of the electronic device. And when the traveling speed value exceeds a speed threshold, the image processing unit is used to perform an image enlargement mechanism to enlarge the target object image in the plurality of object images.

Preferably, the image enlargement mechanism comprises a linear zooming method of a single image or a plurality of overlapping image modes, and the overlapping multiple image modes can be used to improve the resolution of the target object image.

Preferably, the depth of field value of the target object image exceeds a distance threshold.

Preferably, the target object image comprises a text, a pattern, a signboard or any combination of the above.

Based on the above object, the present invention further provides an image processing system using depth information, which is mounted on a mobile vehicle. The image processing system includes: a first image capturing unit, a second image capturing unit, and a speed detecting unit. Image processing unit. The first image capturing unit is configured to capture the first image of the external environment. The second image capturing unit is configured to capture a second image of the external environment. The speed detection unit can be used to measure the travel speed value of the mobile vehicle. The image processing unit is used to search for the first presence The image and the plurality of object images of the second image respectively calculate a depth value of the plurality of object images, or when the traveling speed value exceeds a speed threshold, the image processing unit performs an image enlargement mechanism to amplify the target in the plurality of object images Object image.

Preferably, the image enlargement mechanism comprises a linear enlargement of a single image or a superimposition of multiple images.

Preferably, a method of superimposing multiple images can be used to improve the resolution of the image of the target object.

Preferably, the depth of field value of the target object image exceeds a distance threshold.

Preferably, the target object image comprises a text, a pattern, a signboard or any combination of the above.

Preferably, the speed detecting unit can be a global positioning device.

100‧‧‧Image Processing System

10‧‧‧Electronic devices

20‧‧‧Image Processing Unit

30‧‧‧Speed detection unit

40‧‧‧First image capture unit

41‧‧‧ first image

50‧‧‧Second image capture unit

51‧‧‧Second image

52‧‧‧ Object image

53‧‧‧ Target object image

55‧‧‧ Travel speed value

56‧‧‧Image magnification mechanism

58‧‧‧Depth of field value

59‧‧‧Speed threshold

60‧‧‧ distance threshold

61‧‧‧ gas station

62‧‧‧ gas station signboard

S1~S5‧‧‧Step process

The above and other features and advantages of the present invention will become more apparent from the detailed description of the exemplary embodiments illustrated herein .

2 is a first schematic diagram of an image processing system in accordance with an embodiment of the present invention.

Figure 3 is a second schematic diagram of an image processing system in accordance with an embodiment of the present invention.

Figure 4 is a flow chart showing the steps of an image processing method according to an embodiment of the present invention.

The features, the contents and advantages of the present invention, and the advantages thereof, will be understood by the present invention. The present invention will be described in detail with reference to the accompanying drawings, For the purpose of illustration and supplementary instructions only, it may not be the true ratio after the implementation of the invention. For example and precise configuration, the scope and configuration relationship of the attached drawings should not be construed as limiting the scope of the invention in practice.

The advantages and features of the present invention, as well as the technical methods of the present invention, are described in more detail with reference to the exemplary embodiments and the accompanying drawings, and the present invention may be implemented in various forms and should not be construed as limited thereby. The embodiments of the present invention, and the embodiments of the present invention are intended to provide a more complete and complete and complete disclosure of the scope of the present invention, and The scope of the patent application is defined.

Please refer to FIG. 1, which is a block diagram of an image processing system according to an embodiment of the present invention. An image processing system 100 that utilizes depth of field information is mounted on a mobile vehicle. The image processing system 100 includes a first image capturing unit 40, a second image capturing unit 50, and a speed detecting unit 30. And an image processing unit 20. The image processing system 100 can include a line of vehicle recorders, a smart phone, or a tablet. The mobile device can be a vehicle. The first image capturing unit 40 and the second image capturing unit 50 can be a lens. The measuring unit 30 can be a Global Positioning System (GPS), and the image processing unit 20 can be a central processing unit.

The first image capturing unit 40 and the second image capturing unit 50 are respectively configured to capture the first image 41 and the second image 51 of the external environment. The speed detecting unit 30 is configured to measure the traveling speed value 55 of the moving vehicle in motion. The image processing unit 20 is configured to search for a plurality of object images 52 existing in the first image 41 and the second image 51, and calculate the depth of field value 58 of each of the plurality of object images 52, respectively, or when the traveling speed value 55 exceeds a speed threshold. When the value is 59, the image processing unit 20 immediately performs the image enlargement mechanism 56 to enlarge a target object image 53 of the plurality of object images 52, wherein the target object image 53 can include a text, a pattern, a signboard or more. The combined depth of field value 58 of the target object image 53 exceeds a distance threshold of 60.

Further, the image enlargement mechanism 56 includes a linear enlargement method of a single image or a superimposed image method, wherein the superimposed image method can be used to enhance the resolution of the target object image 53.

Please refer to FIG. 2 and FIG. 3 together, which are a first schematic diagram and a second schematic diagram of an image processing system according to an embodiment of the invention. The electronic device 10 in this embodiment is exemplified by a row of vehicle recorders in a mobile vehicle, and the user sets a speed threshold value 59 and a distance threshold value of 60 (km/h) on the electronic device 10, respectively. ) and 1 km.

2 shows the electronic device 10 when the speed of the vehicle is lower than 100 (km/h), and the first image capturing unit 40 and the second image capturing unit 50 capture the external gas station 61 and its gas station. The image of the signboard 62 is generated, and the object image 52 corresponding to the gas station 61 and the object image 52 corresponding to the gas station sign 62 are generated on the screen of the electronic device 10. At this time, the image processing unit 20 calculates one of the two object images 52, respectively. The depth of field value 58 is for later use.

FIG. 3 shows that when the speed detecting unit 30 detects that the traveling speed value 55 of the vehicle exceeds 100 (km/h), the image processing unit 20 sets the object image 52 corresponding to the gas station sign 62 to one. The target object image 53 is imaged by an image magnification mechanism (not shown) to magnify the target object image 53 throughout the screen.

In detail, the electronic device 10 can store specific characters and patterns in advance to provide the image processing unit 20 to select the target image of the target object image 53, such characters and patterns are commonly used by ordinary users. For example, the pattern can include the store's signboard, and the text can include common terms, such as the word "Sale" in the poster outside the store, or the bold text in the sign next to the interchange. The image processing unit 20 simply compares the object image 52 with the previously stored characters and patterns, thereby filtering out unnecessary images and displaying only the target object image 53 of interest to the user.

To further illustrate, the user can further set the depth of field value 58 of the object image 52 to the reference value of the image processing system 100. For example, since the user sets the distance threshold 60 to 1 km, the electronic device 10 only displays the target object image 53 whose depth value 58 exceeds the distance threshold 60. In other words, in FIG. 3, if When the speed value 55 exceeds 100 (km/h) and the depth of field value 58 calculated by the image processing unit 20 exceeds 1 km, the image processing unit 20 converts the object image 52 corresponding to the signature into a target object image 53 and displays This target object image 53 is on the screen.

In this way, when the user is on a vehicle that moves too fast, even if the object of the subject is at a certain distance from the user, the user can obtain a clear image corresponding to the target through the image processing system 100. .

Please refer to FIG. 4, which is a flow chart of steps of an image processing method according to an embodiment of the present invention. The image processing method is applicable to an electronic device, and the electronic device can include an image processing unit, a speed detecting unit, a first image capturing unit, and a second image capturing unit. The method includes the following step.

Step S1 captures one of the first image and the second image of the external environment by using the first image capturing unit and the second image capturing unit.

Step S2 uses the image processing unit to search for a plurality of object images existing in the first image and the second image.

Step S3 is to use the image processing unit to separately calculate a depth of field value of the plurality of object images. Steps S1 to S3 can refer to the image captured by the first image capturing unit 40 and the second image capturing unit 50 in FIG. 2, and then the image processing unit 20 calculates the depth of field value 58 of each object image 52.

Step S4 uses a speed detecting unit to measure a traveling speed value of one of the electronic devices.

Step S5: When the traveling speed value exceeds a speed threshold, the image processing unit performs an image enlargement mechanism to enlarge one of the plurality of object images. Steps S4 to S5 can refer to the manner in which the target object image 53 is enlarged by the image processing unit 20 when the traveling speed value 55 exceeds a speed threshold value 59 in FIG.

In summary, the present invention discloses an image processing system using depth information and an image processing method thereof, so that a user can use an electronic device on a high-speed mobile vehicle to enlarge a target image in the far distance. Solving the problem that the user is too fast to recognize the target, and the electronic device can enlarge the image through an image enlargement mechanism and make the image have a clear resolution.

The embodiments described above are merely illustrative of the technical spirit and the features of the present invention, and the objects of the present invention can be understood by those skilled in the art, and the scope of the present invention cannot be limited thereto. That is, the equivalent variations or modifications made by the spirit of the present invention should still be included in the scope of the present invention.

100‧‧‧Image Processing System

20‧‧‧Image Processing Unit

30‧‧‧Speed detection unit

40‧‧‧First image capture unit

41‧‧‧ first image

50‧‧‧Second image capture unit

51‧‧‧Second image

52‧‧‧ Object image

53‧‧‧ Target object image

55‧‧‧ Travel speed value

58‧‧‧Depth of field value

59‧‧‧Speed threshold

60‧‧‧ time threshold

Claims (8)

An image processing method using depth of field information is applicable to an electronic device, the electronic device comprising an image processing unit, a speed detecting unit, a first image capturing unit and a second image capturing unit, the image The processing method includes: capturing, by the first image capturing unit and the second image capturing unit, one of the first image and the second image of the external environment; and searching, by the image processing unit, the first image and the first image a plurality of object images in the second image; calculating, by the image processing unit, a depth value of the plurality of object images; measuring a traveling speed value of the electronic device by using a speed detecting unit; and when the traveling speed value exceeds When the speed threshold is used, the image processing unit performs an image enlargement mechanism to enlarge a target object image in the plurality of object images; wherein the depth of field value of the target object image exceeds a distance threshold. The image processing method of claim 1, wherein the image enlargement mechanism comprises a linear enlargement method of a single image or a superimposed image method, wherein the superimposed image method is used to enhance the image of the target object. Resolution. The image processing method of claim 1, wherein the target object image comprises a text, a pattern, a signboard or any combination of the above. An image processing system for utilizing depth information is mounted on a mobile vehicle, the image processing system comprising: a first image capturing unit for capturing a first image of an external environment; a second image capturing unit for capturing a second image of the external environment; a speed detecting unit for measuring a traveling speed value of the one of the mobile vehicles; and an image processing unit for searching for the present And calculating, by the first image and the plurality of object images of the second image, a depth of field value of the plurality of object images, or when the traveling speed value exceeds a speed threshold, the image processing unit performs an image enlargement mechanism And zooming in on the target object image of the plurality of object images; wherein the depth of field value of the target object image exceeds a distance threshold. The image processing system of claim 4, wherein the image enlargement mechanism comprises a linear enlargement method of a single image or a superimposed image method. The image processing system of claim 5, wherein the superimposed image method is used to enhance the resolution of the target object image. The image processing system of claim 4, wherein the target object image comprises a text, a pattern, a signboard or any combination of the above. The image processing system of claim 4, wherein the speed detecting unit is a global positioning device.