CN105407281A - Scene based photographing device and method - Google Patents
Scene based photographing device and method Download PDFInfo
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- CN105407281A CN105407281A CN201510776502.8A CN201510776502A CN105407281A CN 105407281 A CN105407281 A CN 105407281A CN 201510776502 A CN201510776502 A CN 201510776502A CN 105407281 A CN105407281 A CN 105407281A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/62—Control of parameters via user interfaces
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/68—Control of cameras or camera modules for stable pick-up of the scene, e.g. compensating for camera body vibrations
- H04N23/681—Motion detection
- H04N23/6811—Motion detection based on the image signal
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Abstract
The invention discloses a scene based photographing device and method. The device comprises an image collecting unit, a feature extracting unit and a determining unit. The image collecting unit is used for collecting at least two images of a scene. The feature extracting unit is used for extracting two more image features from each of at least two images. The determining unit is used for determining the image feature with the highest priority of the two more image features extracted separately and determining corresponding photographing parameters of the scene according to the image feature with the highest priority. The image collecting unit is also used for photographing a target object in the scene according to the photographing parameters.
Description
Technical field
The present invention relates to camera technique, particularly relate to a kind of camera arrangement based on scene, method.
Background technology
At present, large multiple terminals has camera function, and the camera function in terminal progressively tends to specialized and diversified, and has become function conventional in daily life.The camera function of most of terminal has two class exposal models in the market: professional exposal model and amusement exposal model.Wherein, professional exposal model allows user to regulate the parameter of camera to meet the demand of described scene, but this process need user has relevant photographic knowledge deposit, for the more difficult grasp of general domestic consumer.Amusement exposal model can not along with the parameter of the change tread adjustment image acquisition units of scene, and cause the poor image quality of taking, the experience of user is not good.
Summary of the invention
For solving the problems of the technologies described above, embodiments provide a kind of camera arrangement based on scene, method.
The camera arrangement based on scene that the embodiment of the present invention provides, comprising:
Image acquisition units, for gathering at least two width images of scene;
Feature extraction unit, for extracting two or more characteristics of image respectively from described at least two width images;
Determining unit, for determining the characteristics of image that priority is the highest from the described two or more characteristics of image extracted respectively, and the characteristics of image the highest according to described priority, determine the corresponding camera parameter of described scene;
Described image acquisition units, also for taking pictures to the destination object in described scene based on described camera parameter.
In the embodiment of the present invention, the described two or more characteristics of image extracted respectively comprises brightness, color characteristic and motion feature.
In the embodiment of the present invention, described determining unit comprises:
First determines subelement, for when described brightness is less than or equal to described first threshold, determines that described brightness is the characteristics of image that priority is the highest;
Second determines subelement, for being greater than described first threshold when described brightness, and when described color characteristic is more than or equal to Second Threshold, determines that described color characteristic is the characteristics of image that priority is the highest;
3rd determines subelement, and for being greater than described first threshold when described brightness, and described color characteristic is less than described Second Threshold, and when described motion feature is less than or equal to the 3rd threshold value, described color characteristic is the characteristics of image that priority is the highest.
In the embodiment of the present invention, described determining unit comprises: the 4th determines subelement, for being greater than described first threshold when described brightness, and described color characteristic is less than described Second Threshold, and described motion feature is when being greater than described 3rd threshold value, the exposal model of described scene is set to acquiescence scene exposal model.
In the embodiment of the present invention, described device also comprises:
Pretreatment unit, for respectively to the smoothing process of described at least two width image.
The photographic method based on scene that the embodiment of the present invention provides, comprising:
Gather at least two width images of scene;
Two or more characteristics of image is extracted respectively from described at least two width images;
The characteristics of image that priority is the highest is determined from the described two or more characteristics of image extracted respectively;
The characteristics of image the highest according to described priority determines the corresponding camera parameter of described scene;
Based on described camera parameter, the destination object in described scene is taken pictures.
In the embodiment of the present invention, the described two or more characteristics of image extracted respectively comprises brightness, color characteristic and motion feature.
In the embodiment of the present invention, describedly from the described two or more image spy extracted respectively, determine the characteristics of image that priority is the highest, comprising:
When described brightness is less than or equal to described first threshold, determine that described brightness is the characteristics of image that priority is the highest;
When described brightness is greater than described first threshold, and when described color characteristic is more than or equal to Second Threshold, determine that described color characteristic is the characteristics of image that priority is the highest;
When described brightness is greater than described first threshold, and described color characteristic is less than described Second Threshold, and when described motion feature is less than or equal to the 3rd threshold value, determines that described motion feature is the characteristics of image that priority is the highest.
In the embodiment of the present invention, described method also comprises:
When described brightness is greater than described first threshold, and described color characteristic is less than described Second Threshold, and when described motion feature is greater than described 3rd threshold value, the exposal model of described scene is set to acquiescence scene exposal model.
In the embodiment of the present invention, described from described at least two width images, extract two or more characteristics of image respectively before, described method also comprises:
Respectively to the smoothing process of described at least two width image.
The technical scheme of the embodiment of the present invention determines exposal model based on the detection of scene, for this reason, first gathers at least two width images of scene.Then, from described at least two width images, two or more characteristics of image is extracted respectively; The characteristics of image that priority is the highest is determined from the described two or more characteristics of image extracted respectively; The characteristics of image the highest according to described priority determines the corresponding camera parameter of described scene; Described image acquisition units is utilized to take pictures to the destination object in described scene based on described camera parameter.So, domestic consumer can be made to utilize the camera arrangement based on scene of the embodiment of the present invention, regulate the camera parameter of image acquisition units according to the change of scene, shoot high-quality image; In addition, camera parameter cannot the problem of auto modification under different scene to avoid amusement exposal model.The photographic method based on scene of the embodiment of the present invention can, according to the real-time help user optimization camera parameter of the change of scene, make taking pictures of user experience hommization more and intellectuality.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the photographic method based on scene of the embodiment of the present invention one;
Fig. 2 is the schematic flow sheet of the photographic method based on scene of the embodiment of the present invention two;
Fig. 3 is the schematic flow sheet of the photographic method based on scene of the embodiment of the present invention three;
Fig. 4 is the structure composition schematic diagram of the camera arrangement based on scene of the embodiment of the present invention one;
Fig. 5 is the structure composition schematic diagram of the camera arrangement based on scene of the embodiment of the present invention two;
Fig. 6 is the structure composition schematic diagram of the camera arrangement based on scene of the embodiment of the present invention three;
Fig. 7 is the block diagram of the essential electrical structure of the camera arrangement based on scene representing an embodiment of the invention.
Embodiment
In order to feature and the technology contents of the embodiment of the present invention more at large can be understood, be described in detail below in conjunction with the realization of accompanying drawing to the embodiment of the present invention, the use of appended accompanying drawing explanation only for reference, be not used for limiting the embodiment of the present invention.
Fig. 1 is the schematic flow sheet of the photographic method based on scene of the embodiment of the present invention one, and the photographic method based on scene in this example is applied in the camera arrangement based on scene, and as shown in Figure 1, the described photographic method based on scene comprises the following steps:
Step 101: at least two width images gathering scene.
In the embodiment of the present invention, the camera arrangement based on scene is arranged in the terminal, and this terminal can be the terminal of arbitrary form, such as mobile phone, panel computer etc.Camera arrangement based on scene has image acquisition units, and during specific implementation, described image acquisition units is camera.
Utilize image acquisition units can collect the image of scene, here, scene refers to the environment of image acquisition units shooting area.When gathering the image of scene, need to gather at least two width images, because comparatively average characteristics of image can be got like this.During specific implementation, at least two width images gathering scene are continuous print image, and these continuous print images all represent the current scene preparing shooting.
Step 102: extract two or more characteristics of image respectively from described at least two width images.
In the embodiment of the present invention, need first to the smoothing process of described at least two width image, smoothing processing mainly carries out noise remove to image, improves the precision of later image feature calculation.Particularly, adopt Gaussian kernel to carry out filtering to view data, filtered image smoothing, noise spot is less, thus achieves smoothing processing.
In the embodiment of the present invention, after the smoothing process of described at least two width image, from described at least two width images, extract two or more characteristics of image respectively.
Such as, from described at least two width images, following characteristics of image is extracted respectively: brightness, color characteristic and motion feature.Below for two width images, particularly, two width images after smoothing processing are carried out to the calculating of characteristics of image.First, two width images are carried out the color space change of color model (Lab); Calculate the mean flow rate feature of two width images respectively, then the mean flow rate feature of two width images is on average obtained final brightness again, be the brightness of current scene.Then, calculate the distribution of color information of two width images, the embodiment of the present invention adopts histogram to carry out the statistics of distribution of color information, counts the probability distribution situation of each color component in two width images, obtains the color characteristic of current scene.Finally, adopt frame difference method to calculate the motion feature of the two width images of adjacent (also namely continuously), count the mean motion feature of current scene.
In the embodiment of the present invention, color characteristic is a kind of global characteristics, describes the surface nature of the scenery corresponding to image or image-region.General color characteristic is the feature based on pixel, and now all pixels belonging to image or image-region have respective contribution.Conventional Color Feature Extraction Method has histogram, histogram simply can describe the overall situation distribution of color in piece image, namely the ratio that different color is shared in entire image, is specially adapted to describe the image being difficult to auto Segmentation and the image not needing to consider object space position.
Step 103: determine the characteristics of image that priority is the highest from the described two or more characteristics of image extracted respectively.
In the embodiment of the present invention, according to each characteristics of image obtained in step 102, carry out the evaluation of the limit priority of characteristics of image, the limit priority embodiment of the present invention for each characteristics of image adopts different Evaluation Strategy:
(1) for brightness, if brightness is less than or equal to first threshold (can be 50% of certain set point), then think that now user is in half-light region, so the strength information of brightness is higher than other two characteristics of image.
(2) when the strength information of brightness is not the highest, if color characteristic histogram comparatively disperses, color characteristic is more than or equal to Second Threshold, then now user takes landscape, and so the strength information of color characteristic is higher than other two characteristics of image.
(3) when the strength information of brightness, color characteristic is not all the highest, if motion feature is less than or equal to described 3rd threshold value, then think that user is in static shooting, now the strength information of motion feature is higher than other two characteristics of image.
When the limit priority of brightness, color characteristic, motion feature is not all the highest, start acquiescence scene exposal model, the exposal model of described scene is set to acquiescence scene exposal model.
Step 104: the characteristics of image the highest according to described priority determines the corresponding camera parameter of described scene.
Particularly, if the priority of brightness is the highest, then think that described scene belongs to night scene exposal model.If the priority of motion feature is the highest, then think that described scene belongs to stationary picture pattern.If the priority of color characteristic is the highest, then think that described scene belongs to outdoor landscape exposal model.
Particularly, for night scene exposal model, now also need the piece image again obtaining current scene, recalculate the brightness in scene, then adopt the mode of Gauss interpolation, calculate the photosensitivity (iso) of applicable current scene, such as, after calculating photosensitivity is set to: iso150, finally according to exponential function, brightness is mapped as aperture parameters, such as, after calculating, selects aperture parameters to be F20.
For stationary picture pattern, need the piece image again obtaining current scene, recalculate the brightness in scene and motion feature, then the mode of Gauss interpolation is adopted, calculate the iso of applicable current scene, such as, after calculating photosensitivity is set to: iso100, is finally calculated the aperture parameters of present image collecting unit, such as, be set to f5 by motion feature according to mapping function.
For outdoor landscape exposal model, need the piece image again obtaining current scene, recalculate the color characteristic in scene and brightness, then the mode of Gauss interpolation is adopted, calculate the iso of applicable current scene, such as, after calculating photosensitivity is set to: iso100, finally calculates current aperture parameters according to mapping function by distribution of color information, such as, be set to f6 etc.
Step 105: the destination object in described scene is taken pictures based on described camera parameter.
In the embodiment of the present invention, above camera parameter arranges just simple examples, concrete camera parameter the dynamic conditioning according to the real-time change of each scene is set.So, domestic consumer can be made to utilize the camera arrangement based on scene of the embodiment of the present invention, regulate the camera parameter of image acquisition units according to the change of scene, shoot high-quality image; In addition, camera parameter cannot the problem of auto modification under different scene to avoid amusement exposal model.The photographic method based on scene of the embodiment of the present invention can, according to the real-time help user optimization camera parameter of the change of scene, make taking pictures of user experience hommization more and intellectuality.
Fig. 2 is the schematic flow sheet of the photographic method based on scene of the embodiment of the present invention two, and the photographic method based on scene in this example is applied in the camera arrangement based on scene, and as shown in Figure 2, the described photographic method based on scene comprises the following steps:
Step 201: at least two width images gathering scene.
In the embodiment of the present invention, the camera arrangement based on scene is arranged in the terminal, and this terminal can be the terminal of arbitrary form, such as mobile phone, panel computer etc.Camera arrangement based on scene has image acquisition units, and during specific implementation, described image acquisition units is camera.
Utilize image acquisition units can collect the image of scene, here, scene refers to the environment of image acquisition units shooting area.When gathering the image of scene, need to gather at least two width images, because comparatively average characteristics of image can be got like this.During specific implementation, at least two width images gathering scene are continuous print image, and these continuous print images all represent the current scene preparing shooting.
Step 202: respectively to the smoothing process of described at least two width image.
In the embodiment of the present invention, need first to the smoothing process of described at least two width image, smoothing processing mainly carries out noise remove to image, improves the precision of later image feature calculation.Particularly, adopt Gaussian kernel to carry out filtering to view data, filtered image smoothing, noise spot is less, thus achieves smoothing processing.
Step 203: extract two or more characteristics of image respectively from described at least two width images.
In the embodiment of the present invention, after the smoothing process of described at least two width image, from described at least two width images, extract two or more characteristics of image respectively.
Such as, from described at least two width images, following characteristics of image is extracted respectively: brightness, color characteristic and motion feature.Below for two width images, particularly, two width images after smoothing processing are carried out to the calculating of characteristics of image.First, two width images are carried out the color space change of Lab; Calculate the mean flow rate feature of two width images respectively, then the mean flow rate feature of two width images is on average obtained final brightness again, be the brightness of current scene.Then, calculate the distribution of color information of two width images, the embodiment of the present invention adopts histogram to carry out the statistics of distribution of color information, counts the probability distribution situation of each color component in two width images, obtains the color characteristic of current scene.Finally, adopt frame difference method to calculate the motion feature of the two width images of adjacent (also namely continuously), count the mean motion feature of current scene.
In the embodiment of the present invention, color characteristic is a kind of global characteristics, describes the surface nature of the scenery corresponding to image or image-region.General color characteristic is the feature based on pixel, and now all pixels belonging to image or image-region have respective contribution.Conventional Color Feature Extraction Method has histogram, histogram simply can describe the overall situation distribution of color in piece image, namely the ratio that different color is shared in entire image, is specially adapted to describe the image being difficult to auto Segmentation and the image not needing to consider object space position.
Step 204: determine the characteristics of image that priority is the highest from the described two or more characteristics of image extracted respectively.
In the embodiment of the present invention, according to each characteristics of image obtained in step 203, carry out the evaluation of the limit priority of characteristics of image, the limit priority embodiment of the present invention for each characteristics of image adopts different Evaluation Strategy:
(1) for brightness, if brightness is less than or equal to first threshold (can be 50% of certain set point), then think that now user is in half-light region, so the strength information of brightness is higher than other two characteristics of image.
(2) when the strength information of brightness is not the highest, if color characteristic histogram comparatively disperses, color characteristic is more than or equal to Second Threshold, then now user takes landscape, and so the strength information of color characteristic is higher than other two characteristics of image.
(3) when the limit priority of brightness, color characteristic is not all the highest, if motion feature is less than or equal to described 3rd threshold value, then think that user is in static shooting, now the strength information of motion feature is higher than other two characteristics of image.
When the limit priority of brightness, color characteristic, motion feature is not all the highest, start acquiescence scene exposal model, the exposal model of described scene is set to acquiescence scene exposal model.
Step 205: the characteristics of image the highest according to described priority determines the corresponding camera parameter of described scene.
Particularly, if the priority of brightness is the highest, then think that described scene belongs to night scene exposal model.If the priority of motion feature is the highest, then think that described scene belongs to stationary picture pattern.If the priority of color characteristic is the highest, then think that described scene belongs to outdoor landscape exposal model.
Particularly, for night scene exposal model, now also need the piece image again obtaining current scene, recalculate the brightness in scene, then adopt the mode of Gauss interpolation, calculate the iso of applicable current scene, such as, after calculating photosensitivity is set to: iso150, finally according to exponential function, brightness is mapped as aperture parameters, such as, after calculating, selects aperture parameters to be F20.
For stationary picture pattern, need the piece image again obtaining current scene, recalculate the brightness in scene and motion feature, then the mode of Gauss interpolation is adopted, calculate the iso of applicable current scene, such as, after calculating photosensitivity is set to: iso200, is finally calculated the aperture parameters of present image collecting unit, such as, be set to f5 by motion feature according to mapping function.
For outdoor landscape exposal model, need the piece image again obtaining current scene, recalculate the color characteristic in scene and brightness, then the mode of Gauss interpolation is adopted, calculate the iso of applicable current scene, such as, after calculating photosensitivity is set to: iso200, finally calculates current aperture parameters according to mapping function by distribution of color information, such as, be set to f6 etc.
Step 206: the destination object in described scene is taken pictures based on described camera parameter.
In the embodiment of the present invention, above camera parameter arranges just simple examples, concrete camera parameter the dynamic conditioning according to the real-time change of each scene is set.So, domestic consumer can be made to utilize the camera arrangement based on scene of the embodiment of the present invention, regulate the camera parameter of image acquisition units according to the change of scene, shoot high-quality image; In addition, camera parameter cannot the problem of auto modification under different scene to avoid amusement exposal model.The photographic method based on scene of the embodiment of the present invention can, according to the real-time help user optimization camera parameter of the change of scene, make taking pictures of user experience hommization more and intellectuality.
Fig. 3 is the schematic flow sheet of the photographic method based on scene of the embodiment of the present invention three, and the photographic method based on scene in this example is applied in the camera arrangement based on scene, and as shown in Figure 3, the described photographic method based on scene comprises the following steps:
Step 301: at least two width images gathering scene.
In the embodiment of the present invention, the camera arrangement based on scene is arranged in the terminal, and this terminal can be the terminal of arbitrary form, such as mobile phone, panel computer etc.Camera arrangement based on scene has image acquisition units, and during specific implementation, described image acquisition units is camera.
Utilize image acquisition units can collect the image of scene, here, scene refers to the environment of image acquisition units shooting area.When gathering the image of scene, need to gather at least two width images, because comparatively average characteristics of image can be got like this.During specific implementation, at least two width images gathering scene are continuous print image, and these continuous print images all represent the current scene preparing shooting.
Step 302: respectively to the smoothing process of described at least two width image.
In the embodiment of the present invention, need first to the smoothing process of described at least two width image, smoothing processing mainly carries out noise remove to image, improves the precision of later image feature calculation.Particularly, adopt Gaussian kernel to carry out filtering to view data, filtered image smoothing, noise spot is less, thus achieves smoothing processing.
Step 303: extract following characteristics of image respectively from described at least two width images: brightness, color characteristic and motion feature.
Below for two width images, particularly, two width images after smoothing processing are carried out to the calculating of characteristics of image.First, two width images are carried out the color space change of Lab; Calculate the mean flow rate feature of two width images respectively, then the mean flow rate feature of two width images is on average obtained final brightness again, be the brightness of current scene.Then, calculate the distribution of color information of two width images, the embodiment of the present invention adopts histogram to carry out the statistics of distribution of color information, counts the probability distribution situation of each color component in two width images, obtains the color characteristic of current scene.Finally, adopt frame difference method to calculate the motion feature of the two width images of adjacent (also namely continuously), count the mean motion feature of current scene.
In the embodiment of the present invention, color characteristic is a kind of global characteristics, describes the surface nature of the scenery corresponding to image or image-region.General color characteristic is the feature based on pixel, and now all pixels belonging to image or image-region have respective contribution.Conventional Color Feature Extraction Method has histogram, histogram simply can describe the overall situation distribution of color in piece image, namely the ratio that different color is shared in entire image, is specially adapted to describe the image being difficult to auto Segmentation and the image not needing to consider object space position.
Step 304: judge whether described brightness is less than or equal to first threshold; When described brightness is less than or equal to described first threshold, determine that described brightness is the characteristics of image that priority is the highest.
In the embodiment of the present invention, according to each characteristics of image obtained in step 303, carry out the evaluation of the limit priority of characteristics of image, the limit priority embodiment of the present invention for each characteristics of image adopts different Evaluation Strategy:
For brightness, if brightness is less than or equal to first threshold (can be 50% of certain set point), then think that now user is in half-light region, so the strength information of brightness is higher than other two characteristics of image.
Step 305: when described brightness is greater than described first threshold, judges whether described color characteristic is more than or equal to Second Threshold; When described color characteristic is more than or equal to described Second Threshold, determine that described color characteristic is the characteristics of image that priority is the highest.
When the strength information of brightness is not the highest, if color characteristic histogram comparatively disperses, color characteristic is more than or equal to Second Threshold, then now user takes landscape, and so the strength information of color characteristic is higher than other two characteristics of image.
Step 306: when described color characteristic is less than described Second Threshold, judges whether described motion feature is less than or equal to the 3rd threshold value; When described motion feature is less than or equal to described 3rd threshold value, determine that described motion feature is the characteristics of image that priority is the highest.
When the limit priority of brightness, color characteristic is not all the highest, if motion feature is less than or equal to described 3rd threshold value, then think that user is in static shooting, now the strength information of motion feature is higher than other two characteristics of image.
Step 307: when described motion feature is greater than described 3rd threshold value, is set to acquiescence scene exposal model by the exposal model of described scene.
When the limit priority of brightness, color characteristic, motion feature is not all the highest, start acquiescence scene exposal model, the exposal model of described scene is set to acquiescence scene exposal model.
Step 308: the characteristics of image the highest according to described priority determines the exposal model of described scene.
Particularly, if the priority of brightness is the highest, then think that described scene belongs to night scene exposal model.If the priority of motion feature is the highest, then think that described scene belongs to stationary picture pattern.If the priority of color characteristic is the highest, then think that described scene belongs to outdoor landscape exposal model.
Step 309: obtain the camera parameter corresponding with the exposal model of described scene.
Particularly, for night scene exposal model, now also need the piece image again obtaining current scene, recalculate the brightness in scene, then adopt the mode of Gauss interpolation, calculate the iso of applicable current scene, such as, after calculating photosensitivity is set to: iso150, finally according to exponential function, brightness is mapped as aperture parameters, such as, after calculating, selects aperture parameters to be F30.
For stationary picture pattern, need the piece image again obtaining current scene, recalculate the brightness in scene and motion feature, then the mode of Gauss interpolation is adopted, calculate the iso of applicable current scene, such as, after calculating photosensitivity is set to: iso300, is finally calculated the aperture parameters of present image collecting unit, such as, be set to f5 by motion feature according to mapping function.
For outdoor landscape exposal model, need the piece image again obtaining current scene, recalculate the color characteristic in scene and brightness, then the mode of Gauss interpolation is adopted, calculate the iso of applicable current scene, such as, after calculating photosensitivity is set to: iso300, finally calculates current aperture parameters according to mapping function by distribution of color information, such as, be set to f6 etc.
Step 310: regulate image acquisition units according to described camera parameter, utilizes described image acquisition units to take pictures to the destination object in described scene based on the described camera parameter after adjustment.
In the embodiment of the present invention, above camera parameter arranges just simple examples, concrete camera parameter the dynamic conditioning according to the real-time change of each scene is set.So, domestic consumer can be made to utilize the camera arrangement based on scene of the embodiment of the present invention, regulate the camera parameter of image acquisition units according to the change of scene, shoot high-quality image; In addition, camera parameter cannot the problem of auto modification under different scene to avoid amusement exposal model.The photographic method based on scene of the embodiment of the present invention can, according to the real-time help user optimization camera parameter of the change of scene, make taking pictures of user experience hommization more and intellectuality.
Fig. 4 is the structure composition schematic diagram of the camera arrangement based on scene of the embodiment of the present invention one, and as shown in Figure 4, described device comprises:
Image acquisition units 41, for gathering at least two width images of scene;
Feature extraction unit 42, for extracting two or more characteristics of image respectively from described at least two width images;
Determining unit 43, for determining the characteristics of image that priority is the highest from the described two or more characteristics of image extracted respectively; And the characteristics of image the highest according to described priority, determine the corresponding camera parameter of described scene;
Described image acquisition units 41, also for taking pictures to the destination object in described scene based on described camera parameter.
It will be appreciated by those skilled in the art that the practical function based on each unit in the camera arrangement of scene shown in Fig. 4 can refer to the associated description of the aforementioned photographic method based on scene and understands.The function based on each unit in the camera arrangement of scene shown in Fig. 4 realizes by the program run on processor, also realizes by concrete logical circuit.
Fig. 5 is the structure composition schematic diagram of the camera arrangement based on scene of the embodiment of the present invention two, and as shown in Figure 5, described device comprises:
Image acquisition units 51, for gathering at least two width images of scene;
Feature extraction unit 52, for extracting two or more characteristics of image respectively from described at least two width images;
Determining unit 53, for determining the characteristics of image that priority is the highest from the described two or more characteristics of image extracted respectively; And the characteristics of image the highest according to described priority, determine the corresponding camera parameter of described scene;
Described image acquisition units 51, also for taking pictures to the destination object in described scene based on described camera parameter.
Described device also comprises: pretreatment unit 54, for respectively to the smoothing process of described at least two width image.
It will be appreciated by those skilled in the art that the practical function based on each unit in the camera arrangement of scene shown in Fig. 5 can refer to the associated description of the aforementioned photographic method based on scene and understands.The function based on each unit in the camera arrangement of scene shown in Fig. 5 realizes by the program run on processor, also realizes by concrete logical circuit.
Fig. 6 is the structure composition schematic diagram of the camera arrangement based on scene of the embodiment of the present invention three, and as shown in Figure 6, described device comprises:
Image acquisition units 61, for gathering at least two width images of scene;
Feature extraction unit 62, for extracting two or more characteristics of image respectively from described at least two width images;
Determining unit 63, for determining the characteristics of image that priority is the highest from the described two or more characteristics of image extracted respectively; And the characteristics of image the highest according to described priority, determine the corresponding camera parameter of described scene;
Described image acquisition units 61, also for taking pictures to the destination object in described scene based on described camera parameter.
Described device also comprises: pretreatment unit 64, for respectively to the smoothing process of described at least two width image.
Described feature extraction unit 62, also for extracting following characteristics of image respectively from described at least two width images: brightness, color characteristic and motion feature.
Described determining unit 63 comprises:
First determines subelement 631, for when described brightness is less than or equal to described first threshold, determines that described brightness is the characteristics of image that priority is the highest;
Second determines subelement 632, for being greater than described first threshold when described brightness, and when described color characteristic is more than or equal to Second Threshold, determines that described color characteristic is the characteristics of image that priority is the highest;
3rd determines subelement 633, and for being greater than described first threshold when described brightness, and described color characteristic is less than described Second Threshold, and when described motion feature is less than or equal to the 3rd threshold value, determines that described motion feature is the characteristics of image that priority is the highest.
Described determining unit 63 comprises: the 4th determines subelement 634, for being greater than described first threshold when described brightness, and described color characteristic is less than described Second Threshold, and described motion feature is when being greater than described 3rd threshold value, the exposal model of described scene is set to acquiescence scene exposal model.
It will be appreciated by those skilled in the art that the practical function based on each unit in the camera arrangement of scene shown in Fig. 6 can refer to the associated description of the aforementioned photographic method based on scene and understands.The function based on each unit in the camera arrangement of scene shown in Fig. 6 realizes by the program run on processor, also realizes by concrete logical circuit.
Fig. 7 is the block diagram of the essential electrical structure of the camera arrangement based on scene of an execution mode of the embodiment of the present invention.Phtographic lens 101 is made up of the multiple optical lens for the formation of shot object image, is single-focus lens or zoom lens.Phtographic lens 101 can be moved in the direction of the optical axis by lens driving portion 111, according to the control signal from lens driving control part 112, controls the focal position of phtographic lens 101, when zoom lens, also controls focal length.Lens driving control circuit 112 carries out the drived control in lens driving portion 111 according to the control command from microcomputer 107.
Imaging apparatus 102 is configured with on the optical axis of phtographic lens 101, near the position that formed shot object image by phtographic lens 101.Imaging apparatus 102 plays as making a video recording to shot object image and obtaining the function of the image pickup part of image data.Imaging apparatus 102 is arranged in a matrix photodiode two-dimensionally that form each pixel.Each photodiode produces the opto-electronic conversion electric current corresponding with light income, and this opto-electronic conversion electric current carries out charge accumulation by the capacitor be connected with each photodiode.The front surface of each pixel is configured with the RGB colour filter of Bayer arrangement.
Imaging apparatus 102 is connected with imaging circuit 103, this imaging circuit 103 carries out charge accumulation and controls and picture signal reading control in imaging apparatus 102, to the picture signal (analog picture signal) of this reading reduce reset noise after carry out waveform shaping, and then carry out gain raising etc. to become suitable signal level.
Imaging circuit 103 is connected with A/D converter section 104, and this A/D converter section 104 pairs of analog picture signals carry out analog-to-digital conversion, to bus 199 output digital image signal (hereinafter referred to as view data).
Bus 199 is the transfer paths of the various data that the inside for being transmitted in filming apparatus reads or generates.Be connected to above-mentioned A/D converter section 104 in bus 199, be connected to image processor 105, jpeg processor 106, microcomputer 107, SDRAM (SynchronousDRAM) 108, memory interface (hereinafter referred to as memory I/F) 109, LCD (liquid crystal display: LiquidCrystalDisplay) driver 110 in addition.
Image processor 105 carries out OB to the view data of the output based on imaging apparatus 102 and subtracts each other process, blank level adjustment, color matrix computing, gamma conversion, color difference signal process, noise removal process, changes the various image procossing such as process, edge treated simultaneously.
Jpeg processor 106 by Imagery Data Recording in recording medium 115 time, according to JPEG compress mode compression from SDRAM108 read view data.In addition, jpeg processor 106 carries out the decompression of jpeg image data in order to carry out image reproducing display.When decompressing, read the file that is recorded in recording medium 115, implement decompression in jpeg processor 106 after, the view data of decompression to be temporarily stored in SDRAM108 and to show on LCD116.H.264 in addition, in the present embodiment, what adopt as image compression decompression mode is JPEG mode, but compressed and decompressed mode is not limited thereto, and certainly can adopt MPEG, TIFF, other the compressed and decompressed mode such as.
Microcomputer 107 plays the function of the control part as this filming apparatus entirety, the unified various process sequences controlling filming apparatus.Microcomputer 107 is connected to operating unit 113 and flash memory 114.
Operating unit 113 comprises and includes but not limited to physical button or virtual key, this entity or virtual key can be the operating portion materials such as various load button and various enter keies such as power knob, key of taking pictures, edit key, dynamic image button, reproduction button, menu button, cross key, OK button, delete button, large buttons, detect the mode of operation of these operating portion materials.
Testing result is exported to microcomputer 107.In addition, be provided with touch panel at the front surface of the LCD116 as display part, detect the touch location of user, this touch location is exported to microcomputer 107.Microcomputer 107, according to the testing result of the operating portion material from operating unit 113, performs the various process sequences corresponding with the operation of user.(same, the testing result of computer 107 according to the touch panel before LCD116 can be made in this place, perform the various process sequences corresponding with the operation of user.)
Flash memory 114 stores the program of the various process sequences for performing microcomputer 107.Microcomputer 107 carries out the control of filming apparatus entirety according to this program.In addition, flash memory 114 stores the various adjusted values of filming apparatus, and microcomputer 107 reads adjusted value, carries out the control of filming apparatus according to this adjusted value.
SDRAM108 is can the electricity volatile memory of rewriting for what carry out view data etc. temporarily storing.This SDRAM108 temporarily stores the view data that exports from A/D converter section 104 and image processor 105, jpeg processor 106 etc., to have carried out the view data after processing.
Memory interface 109 is connected with recording medium 115, carries out the control by view data and the first-class data writing recording medium 115 of file be attached in view data and reading from recording medium 115.Recording medium 115 be such as can in filming apparatus main body the recording medium such as memory card of disassembled and assembled freely, but being not limited thereto, also can be built in the hard disk etc. in filming apparatus main body.
Lcd driver 110 is connected with LCD116, view data after being processed by image processor 105 is stored in SDRAM, when needing display, read the view data that SDRAM stores also to show on LCD116, or the compressed view data of jpeg processor 106 is stored in SDRAM, when needs show, jpeg processor 106 reads the compressed view data of SDRAM, then decompresses, and the view data after decompressing is shown by LCD116.
LCD116 is configured on back side of filming apparatus main body etc., carries out image display.This LCD116 is provided with the touch panel of the touch operation detecting user.In addition, as display part, what configure in the present embodiment is that liquid crystal represents panel (LCD116), but is not limited thereto, and also can adopt the various display floaters such as organic EL.
If the device followed the tracks of of the above-mentioned traffic signaling of the embodiment of the present invention using the form of software function module realize and as independently production marketing or use time, also can be stored in a computer read/write memory medium.Based on such understanding, the technical scheme of the embodiment of the present invention can embody with the form of software product the part that prior art contributes in essence in other words, this computer software product is stored in a storage medium, comprises some instructions and performs all or part of of method described in each embodiment of the present invention in order to make a computer equipment (can be personal computer, server or the network equipment etc.).And aforesaid storage medium comprises: USB flash disk, portable hard drive, read-only memory (ROM, ReadOnlyMemory), magnetic disc or CD etc. various can be program code stored medium.Like this, the embodiment of the present invention is not restricted to any specific hardware and software combination.
Correspondingly, the embodiment of the present invention also provides a kind of computer-readable storage medium, wherein stores computer program, and this computer program is for performing the image pickup method of the embodiment of the present invention.
Above with reference to the accompanying drawings of the preferred embodiments of the present invention, not thereby limit to interest field of the present invention.Those skilled in the art do not depart from the scope and spirit of the present invention, and multiple flexible program can be had to realize the present invention, and the feature such as an embodiment can be used for another embodiment and obtains another embodiment.All use do within technical conceive of the present invention any amendment, equivalently replace and improve, all should within interest field of the present invention.
Claims (10)
1. based on a camera arrangement for scene, it is characterized in that, described device comprises:
Image acquisition units, for gathering at least two width images of scene;
Feature extraction unit, for extracting two or more characteristics of image respectively from described at least two width images;
Determining unit, for determining the characteristics of image that priority is the highest from the described two or more characteristics of image extracted respectively, and the characteristics of image the highest according to described priority, determine the corresponding camera parameter of described scene;
Described image acquisition units, also for taking pictures to the destination object in described scene based on described camera parameter.
2. the camera arrangement based on scene according to claim 1, is characterized in that, the described two or more characteristics of image extracted respectively comprises brightness, color characteristic and motion feature.
3. the camera arrangement based on scene according to claim 2, is characterized in that, described determining unit comprises:
First determines subelement, for when described brightness is less than or equal to first threshold, determines that described brightness is the characteristics of image that priority is the highest;
Second determines subelement, for being greater than described first threshold when described brightness, and when described color characteristic is more than or equal to Second Threshold, determines that described color characteristic is the characteristics of image that priority is the highest;
3rd determines subelement, and for being greater than described first threshold when described brightness, and described color characteristic is less than described Second Threshold, and when described motion feature is less than or equal to the 3rd threshold value, determines that described motion feature is the characteristics of image that priority is the highest.
4. the camera arrangement based on scene according to claim 3, it is characterized in that, described determining unit comprises: the 4th determines subelement, for being greater than described first threshold when described brightness, and described color characteristic is less than described Second Threshold, and described motion feature is when being greater than described 3rd threshold value, the exposal model of described scene is set to acquiescence scene exposal model.
5. the camera arrangement based on scene according to any one of Claims 1-4, is characterized in that, described device also comprises:
Pretreatment unit, for respectively to the smoothing process of described at least two width image.
6. based on a photographic method for scene, it is characterized in that, described method comprises:
Gather at least two width images of scene;
Two or more characteristics of image is extracted respectively from described at least two width images;
The characteristics of image that priority is the highest is determined from the described two or more characteristics of image extracted respectively;
The characteristics of image the highest according to described priority determines the corresponding camera parameter of described scene;
Based on described camera parameter, the destination object in described scene is taken pictures.
7. the photographic method based on scene according to claim 6, is characterized in that, the described two or more characteristics of image extracted respectively comprises brightness, color characteristic and motion feature.
8. the photographic method based on scene according to claim 7, is characterized in that, describedly from the described two or more characteristics of image extracted respectively, determines the characteristics of image that priority is the highest, comprising:
When described brightness is less than or equal to first threshold, determine that described brightness is the characteristics of image that priority is the highest;
When described brightness is greater than described first threshold, and when described color characteristic is more than or equal to Second Threshold, determine that described color characteristic is the characteristics of image that priority is the highest;
When described brightness is greater than described first threshold, and described color characteristic is less than described Second Threshold, and when described motion feature is less than or equal to the 3rd threshold value, determines that described motion feature is the characteristics of image that priority is the highest.
9. the photographic method based on scene according to claim 8, is characterized in that, described method also comprises:
When described brightness is greater than described first threshold, and described color characteristic is less than described Second Threshold, and when described motion feature is greater than described 3rd threshold value, the exposal model of described scene is set to acquiescence scene exposal model.
10. the photographic method based on scene according to any one of claim 6 to 9, is characterized in that, described from described at least two width images, extract two or more characteristics of image respectively before, described method also comprises:
Respectively to the smoothing process of described at least two width image.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
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| CN201510776502.8A CN105407281A (en) | 2015-11-13 | 2015-11-13 | Scene based photographing device and method |
| PCT/CN2016/102555 WO2017080348A2 (en) | 2015-11-13 | 2016-10-19 | Scene-based photographing device and method, and computer storage medium |
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| CN201510776502.8A CN105407281A (en) | 2015-11-13 | 2015-11-13 | Scene based photographing device and method |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017080348A3 (en) * | 2015-11-13 | 2017-06-15 | 努比亚技术有限公司 | Scene-based photographing device and method, and computer storage medium |
| CN108024105A (en) * | 2017-12-14 | 2018-05-11 | 珠海市君天电子科技有限公司 | Image color adjusting method, device, electronic equipment and storage medium |
| CN108322648A (en) * | 2018-02-02 | 2018-07-24 | 广东欧珀移动通信有限公司 | Image processing method and device, electronic equipment, computer readable storage medium |
| WO2019071623A1 (en) * | 2017-10-14 | 2019-04-18 | 华为技术有限公司 | Method for capturing images and electronic device |
| CN110881101A (en) * | 2018-09-06 | 2020-03-13 | 奇酷互联网络科技（深圳）有限公司 | Shooting method, mobile terminal and device with storage function |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11778309B2 (en) * | 2020-09-11 | 2023-10-03 | International Business Machines Corporation | Recommending location and content aware filters for digital photographs |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101478639A (en) * | 2008-01-04 | 2009-07-08 | 华晶科技股份有限公司 | Scene mode automatic selection method |
| CN101778220A (en) * | 2010-03-01 | 2010-07-14 | 华为终端有限公司 | Method for automatically switching over night scene mode and image pickup device |
| CN101795358A (en) * | 2009-01-30 | 2010-08-04 | 佳能株式会社 | Picture pick-up device and control method thereof |
| US20120140985A1 (en) * | 2010-12-07 | 2012-06-07 | Canon Kabushiki Kaisha | Image processing apparatus and control method therefor |
| CN103227896A (en) * | 2012-01-26 | 2013-07-31 | 佳能株式会社 | Electronic apparatus, electronic apparatus control method, and storage medium |
| CN103617432A (en) * | 2013-11-12 | 2014-03-05 | 华为技术有限公司 | Method and device for recognizing scenes |
| CN103973965A (en) * | 2013-01-29 | 2014-08-06 | 索尼公司 | Image capture apparatus, image capture method, and image capture program |
| CN104811609A (en) * | 2015-03-03 | 2015-07-29 | 小米科技有限责任公司 | Photographing parameter adjustment method and device |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4311457B2 (en) * | 2007-02-15 | 2009-08-12 | ソニー株式会社 | Motion detection device, motion detection method, imaging device, and monitoring system |
| JP5859061B2 (en) * | 2013-06-11 | 2016-02-10 | キヤノン株式会社 | Imaging apparatus, image processing apparatus, and control method thereof |
| CN103841324A (en) * | 2014-02-20 | 2014-06-04 | 小米科技有限责任公司 | Shooting processing method and device and terminal device |
| CN105407281A (en) * | 2015-11-13 | 2016-03-16 | 努比亚技术有限公司 | Scene based photographing device and method |
-
2015
- 2015-11-13 CN CN201510776502.8A patent/CN105407281A/en active Pending
-
2016
- 2016-10-19 WO PCT/CN2016/102555 patent/WO2017080348A2/en active Application Filing
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101478639A (en) * | 2008-01-04 | 2009-07-08 | 华晶科技股份有限公司 | Scene mode automatic selection method |
| CN101795358A (en) * | 2009-01-30 | 2010-08-04 | 佳能株式会社 | Picture pick-up device and control method thereof |
| CN101778220A (en) * | 2010-03-01 | 2010-07-14 | 华为终端有限公司 | Method for automatically switching over night scene mode and image pickup device |
| US20120140985A1 (en) * | 2010-12-07 | 2012-06-07 | Canon Kabushiki Kaisha | Image processing apparatus and control method therefor |
| CN103227896A (en) * | 2012-01-26 | 2013-07-31 | 佳能株式会社 | Electronic apparatus, electronic apparatus control method, and storage medium |
| CN103973965A (en) * | 2013-01-29 | 2014-08-06 | 索尼公司 | Image capture apparatus, image capture method, and image capture program |
| CN103617432A (en) * | 2013-11-12 | 2014-03-05 | 华为技术有限公司 | Method and device for recognizing scenes |
| CN104811609A (en) * | 2015-03-03 | 2015-07-29 | 小米科技有限责任公司 | Photographing parameter adjustment method and device |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017080348A3 (en) * | 2015-11-13 | 2017-06-15 | 努比亚技术有限公司 | Scene-based photographing device and method, and computer storage medium |
| WO2019071623A1 (en) * | 2017-10-14 | 2019-04-18 | 华为技术有限公司 | Method for capturing images and electronic device |
| CN109964478A (en) * | 2017-10-14 | 2019-07-02 | 华为技术有限公司 | A kind of image pickup method and electronic device |
| CN113890989A (en) * | 2017-10-14 | 2022-01-04 | 华为技术有限公司 | Shooting method and electronic device |
| CN108024105A (en) * | 2017-12-14 | 2018-05-11 | 珠海市君天电子科技有限公司 | Image color adjusting method, device, electronic equipment and storage medium |
| CN108322648A (en) * | 2018-02-02 | 2018-07-24 | 广东欧珀移动通信有限公司 | Image processing method and device, electronic equipment, computer readable storage medium |
| CN108322648B (en) * | 2018-02-02 | 2020-06-30 | Oppo广东移动通信有限公司 | Image processing method and device, electronic equipment and computer readable storage medium |
| CN110881101A (en) * | 2018-09-06 | 2020-03-13 | 奇酷互联网络科技（深圳）有限公司 | Shooting method, mobile terminal and device with storage function |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2017080348A2 (en) | 2017-05-18 |
| WO2017080348A3 (en) | 2017-06-15 |
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