CN109862277B - Shooting mode self-adaptive switching platform - Google Patents
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Abstract
The invention relates to a shooting mode self-adaptive switching platform, which comprises: the data analysis equipment comprises a first analysis unit, a second analysis unit, a third analysis unit and a mode judgment unit; and the mode switching equipment is respectively connected with the data analysis equipment and the rear camera, and is used for switching the current shooting mode of the rear camera to a landscape shooting mode when receiving the first identification signal and switching the current shooting mode of the rear camera to a figure shooting mode when receiving the second identification signal. The shooting mode self-adaptive switching platform is convenient to operate and wide in application. The current shooting mode of the rear camera is switched based on the comprehensive analysis result by comprehensively analyzing the scene currently shot by the rear camera of the mobile terminal based on the human body, the water surface and the mountain, so that the control flexibility of the mobile terminal is improved.
Description
Technical Field
The invention relates to the field of user terminals, in particular to a shooting mode self-adaptive switching platform.
Background
Currently, the trend of user terminals is as follows:
1. in the technical aspect, the data processing mode is distributed to be centralized, the user interface is more humanized, and the manageability and the safety are greatly improved; meanwhile, the communication and information processing mode can also realize networking comprehensively, and unprecedented system expansion capability and cross-platform capability can be realized.
2. In terms of application form, the network terminal equipment is not limited to the traditional desktop application environment, and along with the diversification of connection forms, the network terminal equipment can be used as desktop equipment and can also be used in a mobile and portable mode, and the terminal equipment has diversified product forms; in addition, with the expansion of cross-platform capability, network terminal devices will appear in numerous faces in order to meet the needs of different system applications: unix terminals, Windows terminals, Linux terminals, Web terminals, Java terminals, etc.
3. In the application field, terminal equipment in the era of dumb character terminals and graphic terminals can only be used in the aspects of window service industry and counter business without returning, non-counter business such as online banking, online securities, bank low-cabinet business and the like can widely adopt network terminal equipment, and the application field of the network terminal equipment can be rapidly expanded to emerging non-financial industries such as telecommunication, electric power, tax, education, government and the like.
Disclosure of Invention
The invention needs to have the following important invention points:
(1) the current shooting mode of the rear camera is switched based on the comprehensive analysis result, so that the flexibility of mobile terminal control is improved;
(2) and when the interference amplitude of the image to be processed is kept at a higher level, executing bilateral filtering processing on the whole image to be processed.
According to an aspect of the present invention, there is provided a shooting mode adaptive switching platform, including:
the edge deepening device is arranged in the mobile terminal, is connected with the rear camera and is used for receiving a rear collected image shot by the rear camera and executing edge deepening processing on the rear collected image to obtain a corresponding edge deepened image;
the amplitude judgment device is connected with the edge deepening device and used for receiving the edge deepening image, detecting the amplitude of various types of interference in the edge deepening image and outputting the type of the interference with the largest amplitude as a reference interference type;
the numerical value extraction device is connected with the amplitude judgment device and used for extracting the maximum amplitude of the reference interference type in the edge deepened image to serve as reference amplitude to be output;
the digital processing chip is respectively connected with the edge deepening equipment and the numerical value extraction equipment, and is used for sending out a first trigger signal when the received reference amplitude is greater than a preset amplitude threshold value and sending out a second trigger signal when the received reference amplitude is less than or equal to the preset amplitude threshold value;
the targeted filtering equipment is respectively connected with the digital processing chip and the edge deepening equipment and is used for carrying out bilateral filtering processing on the whole received edge deepening image when receiving a first trigger signal so as to obtain a corresponding bilateral filtering image;
the data analysis equipment is connected with the targeted filtering equipment and comprises a first analysis unit, a second analysis unit, a third analysis unit and a mode judgment unit, wherein the first analysis unit is used for executing human body target analysis based on human body imaging characteristics on the bilateral filtering image, the second analysis unit is used for executing water surface target analysis based on water surface imaging characteristics on the bilateral filtering image, and the third analysis unit is used for executing mountain body target analysis based on mountain body imaging characteristics on the bilateral filtering image;
the mode judging unit is respectively connected with the first analyzing unit, the second analyzing unit and the third analyzing unit, and is used for sending a first identification signal when the first analyzing unit judges that no human body target exists and the second analyzing unit judges that a water surface target exists, sending a first identification signal when the first analyzing unit judges that no human body target exists and the second analyzing unit judges that a mountain body target exists, and sending a second identification signal when the first analyzing unit judges that a human body target exists;
and the mode switching equipment is respectively connected with the data analysis equipment and the rear camera, and is used for switching the current shooting mode of the rear camera to a landscape shooting mode when receiving a first identification signal and switching the current shooting mode of the rear camera to a figure shooting mode when receiving a second identification signal.
The shooting mode self-adaptive switching platform is convenient to operate and wide in application. The current shooting mode of the rear camera is switched based on the comprehensive analysis result by comprehensively analyzing the scene currently shot by the rear camera of the mobile terminal based on the human body, the water surface and the mountain, so that the control flexibility of the mobile terminal is improved.
Detailed Description
An embodiment of the photographing mode adaptive switching platform of the present invention will be described in detail below.
Mobile terminals have been developed as simple communication devices with mobile communications for decades. From 2007, the gene mutation of the mobile terminal is intelligently triggered, and the traditional positioning of the terminal as a mobile network terminal is fundamentally changed. The mobile intelligent terminal is almost instantly changed into a key entrance and a main innovation platform of internet business, a novel media, electronic commerce and information service platform, the most important hub of internet resources, mobile network resources and environment interaction resources, and an operating system and a processor chip of the mobile intelligent terminal even become the strategic high points of the whole ICT industry at present. The subversive change caused by the mobile intelligent terminal opens the sequence of mobile internet industry development and opens a new technical industry period. With the continuous development of the mobile intelligent terminal, the influence of the mobile intelligent terminal is more extensive than that of a shoulder radio, a television and the internet (PC), and the mobile intelligent terminal becomes a 4 th terminal product which has wide penetration, rapid popularization and great influence and can reach the aspects of human social life historically.
At present, the mechanism of making a video recording that imbeds on the mobile terminal is more and more high-end and intelligent, and people need not to carry professional camera and can use mobile terminal to carry out high-quality image shooting, if can realize the switching of the shooting mode of self-adaptation based on the analysis of image content at the shooting in-process, will further promote the shooting quality and the effect of the mechanism of making a video recording of mobile terminal.
In order to overcome the defects, the invention builds a shooting mode self-adaptive switching platform and can effectively solve the corresponding technical problem.
The shooting mode self-adaptive switching platform according to the embodiment of the invention comprises:
the edge deepening device is arranged in the mobile terminal, is connected with the rear camera and is used for receiving a rear collected image shot by the rear camera and executing edge deepening processing on the rear collected image to obtain a corresponding edge deepened image;
the amplitude judgment device is connected with the edge deepening device and used for receiving the edge deepening image, detecting the amplitude of various types of interference in the edge deepening image and outputting the type of the interference with the largest amplitude as a reference interference type;
the numerical value extraction device is connected with the amplitude judgment device and used for extracting the maximum amplitude of the reference interference type in the edge deepened image to serve as reference amplitude to be output;
the digital processing chip is respectively connected with the edge deepening equipment and the numerical value extraction equipment, and is used for sending out a first trigger signal when the received reference amplitude is greater than a preset amplitude threshold value and sending out a second trigger signal when the received reference amplitude is less than or equal to the preset amplitude threshold value;
the targeted filtering equipment is respectively connected with the digital processing chip and the edge deepening equipment and is used for carrying out bilateral filtering processing on the whole received edge deepening image when receiving a first trigger signal so as to obtain a corresponding bilateral filtering image;
the data analysis equipment is connected with the targeted filtering equipment and comprises a first analysis unit, a second analysis unit, a third analysis unit and a mode judgment unit, wherein the first analysis unit is used for executing human body target analysis based on human body imaging characteristics on the bilateral filtering image, the second analysis unit is used for executing water surface target analysis based on water surface imaging characteristics on the bilateral filtering image, and the third analysis unit is used for executing mountain body target analysis based on mountain body imaging characteristics on the bilateral filtering image;
the mode judging unit is respectively connected with the first analyzing unit, the second analyzing unit and the third analyzing unit, and is used for sending a first identification signal when the first analyzing unit judges that no human body target exists and the second analyzing unit judges that a water surface target exists, sending a first identification signal when the first analyzing unit judges that no human body target exists and the second analyzing unit judges that a mountain body target exists, and sending a second identification signal when the first analyzing unit judges that a human body target exists;
the mode switching equipment is respectively connected with the data analysis equipment and the rear camera, and is used for switching the current shooting mode of the rear camera to a landscape shooting mode when receiving a first identification signal and switching the current shooting mode of the rear camera to a figure shooting mode when receiving a second identification signal;
the SDRAM storage device is respectively connected with the digital processing chip and the targeted filtering device, is used for storing the preset amplitude threshold value and is also used for temporarily storing the bilateral filtering image;
the targeted filtering device is further used for performing bilateral filtering processing on the middle area of the received edge-deepened image only when receiving a second trigger signal so as to obtain a corresponding bilateral filtering image;
wherein, in the targeted filtering device, the middle region of the edge-deepened image is a region occupying the middle position of the edge-deepened image and having an area half of the area of the edge-deepened image;
the amplitude judgment device comprises an interference detection sub-device, an amplitude identification sub-device, an amplitude comparison sub-device and a data output sub-device.
Next, a detailed configuration of the shooting mode adaptive switching platform of the present invention will be further described.
In the shooting mode self-adaptive switching platform:
in the amplitude determining device, the interference detecting sub-device is connected to the amplitude identifying sub-device, and the amplitude comparing sub-device is connected to the amplitude identifying sub-device and the data outputting sub-device, respectively.
The shooting mode adaptive switching platform can further comprise:
the first image processing device is connected with the targeted filtering device and used for receiving the bilateral filtering image, acquiring each brightness value of each pixel point in the bilateral filtering image, and determining the sharpening grade of the bilateral filtering image based on each brightness value of each pixel point in the bilateral filtering image.
The shooting mode adaptive switching platform can further comprise:
the second image processing device is used for receiving the bilateral filtering image, acquiring the current resolution of the bilateral filtering image and outputting the current resolution;
and the third image processing device is connected with the first image processing device and is used for receiving the sharpening level of the bilateral filtering image and determining the reduction ratio of the corresponding segmentation parameter based on the sharpening level of the bilateral filtering image, wherein the higher the sharpening level of the bilateral filtering image is, the smaller the reduction ratio of the determined corresponding segmentation parameter is.
The shooting mode adaptive switching platform can further comprise:
and the fourth image processing device is connected with the first image processing device and is used for executing wavelet decomposition action of an S layer on the bilateral filtering image so as to obtain each low-frequency parameter of the S layer and each high-frequency parameter from the 1 st layer to the S layer, wherein S is a positive integer greater than or equal to 1.
The shooting mode adaptive switching platform can further comprise:
a fifth image processing device, connected to the fourth image processing device and the third image processing device, respectively, for reducing the preset parameter threshold according to the reduction ratio to obtain a corresponding reduced threshold, and performing the following correction operation on each high-frequency parameter from the 1 st layer to the S-th layer: comparing the numerical value of each high-frequency parameter with the reduced threshold value, when the numerical value is greater than or equal to the reduced threshold value, not correcting the numerical value of the high-frequency parameter, and when the numerical value is smaller than the reduced threshold value, correcting the numerical value of the high-frequency parameter to be zero; the fifth image processing apparatus outputs the respective low-frequency parameters of the S-th layer and the respective corrected high-frequency parameters from the 1 st layer to the S-th layer.
The shooting mode adaptive switching platform can further comprise:
and the sixth image processing device is respectively connected with the data analysis device and the fifth image processing device, and is used for receiving each low-frequency parameter of the S-th layer and each corrected high-frequency parameter from the 1 st layer to the S-th layer, constructing a post-framework image corresponding to the bilateral filtering image based on each low-frequency parameter of the S-th layer and each corrected high-frequency parameter from the 1 st layer to the S-th layer, replacing the bilateral filtering image with the post-framework image and sending the post-framework image to the data analysis device.
In the shooting mode self-adaptive switching platform:
the first image processing device determining a sharpening level of the bilateral filter image based on each brightness value of each pixel point in the bilateral filter image comprises: and determining the sharpening degree of the bilateral filtering image based on each brightness value of each pixel point in the bilateral filtering image.
In the shooting mode self-adaptive switching platform:
the determining, by the first image processing device, the sharpening level of the bilateral filtered image based on each luminance value of each pixel point in the bilateral filtered image further includes: determining the sharpening grade of the bilateral filtering image according to the numerical value region where the sharpening degree of the bilateral filtering image falls;
the fourth image processing device is further connected to the second image processing device, and configured to receive the current resolution, where the fourth image processing device performs a wavelet decomposition action of an S layer on the bilateral filtered image, where the wavelet decomposition action includes: the higher the current resolution, the smaller the S value used.
In addition, the term Wavelet (Wavelet) is a small waveform as the name implies. By "small" it is meant that he has attenuating properties; the term "wave" refers to its wave nature, the amplitude of which is in the form of an oscillation between positive and negative phases. Compared with Fourier transform, the wavelet transform is a local analysis of time (space) frequency, and the wavelet transform gradually refines signals (functions) in a multi-scale mode through telescopic translation operation, finally achieves time subdivision at high frequency and frequency subdivision at low frequency, can automatically adapt to the requirement of time-frequency signal analysis, can focus on any details of signals, solves the problem of difficulty of Fourier transform, and becomes a major breakthrough in a scientific method following the Fourier transform. Wavelet transforms have been known as "mathematical microscopes".
The application of wavelet analysis is closely coupled with the theoretical study of wavelet analysis. He has achieved remarkable achievements in the field of the scientific and technical information industry. Electronic information technology is an important area of six high and new technologies, and its important aspect is image and signal processing. Nowadays, signal processing has become an important part of the modern scientific and technical work, and the purpose of signal processing is: accurate analysis, diagnosis, encoding compression and quantization, fast transfer or storage, accurate reconstruction (or recovery). From a mathematical point of view, the signal and image processing can be considered as signal processing (the image can be considered as a two-dimensional signal) together, and can be attributed to the signal processing problem in many applications of many analyses in wavelet analysis. For signals whose properties are stable and invariant over time, the ideal tool for processing remains fourier analysis. However, most of the signals in practical applications are unstable, and a tool particularly suitable for unstable signals is wavelet analysis.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (8)
1. A shooting mode adaptive switching platform, comprising:
the edge deepening device is arranged in the mobile terminal, is connected with the rear camera and is used for receiving a rear collected image shot by the rear camera and executing edge deepening processing on the rear collected image to obtain a corresponding edge deepened image;
the amplitude judgment device is connected with the edge deepening device and used for receiving the edge deepening image, detecting the amplitude of various types of interference in the edge deepening image and outputting the type of the interference with the largest amplitude as a reference interference type;
the numerical value extraction device is connected with the amplitude judgment device and used for extracting the maximum amplitude of the reference interference type in the edge deepened image to serve as reference amplitude to be output;
the digital processing chip is respectively connected with the edge deepening equipment and the numerical value extraction equipment, and is used for sending out a first trigger signal when the received reference amplitude is greater than a preset amplitude threshold value and sending out a second trigger signal when the received reference amplitude is less than or equal to the preset amplitude threshold value;
the targeted filtering equipment is respectively connected with the digital processing chip and the edge deepening equipment and is used for carrying out bilateral filtering processing on the whole received edge deepening image when receiving a first trigger signal so as to obtain a corresponding bilateral filtering image;
the data analysis equipment is connected with the targeted filtering equipment and comprises a first analysis unit, a second analysis unit, a third analysis unit and a mode judgment unit, wherein the first analysis unit is used for executing human body target analysis based on human body imaging characteristics on the bilateral filtering image, the second analysis unit is used for executing water surface target analysis based on water surface imaging characteristics on the bilateral filtering image, and the third analysis unit is used for executing mountain body target analysis based on mountain body imaging characteristics on the bilateral filtering image;
the mode judging unit is respectively connected with the first analyzing unit, the second analyzing unit and the third analyzing unit, and is used for sending a first identification signal when the first analyzing unit judges that no human body target exists and the second analyzing unit judges that a water surface target exists, sending a first identification signal when the first analyzing unit judges that no human body target exists and the second analyzing unit judges that a mountain body target exists, and sending a second identification signal when the first analyzing unit judges that a human body target exists;
the mode switching equipment is respectively connected with the data analysis equipment and the rear camera, and is used for switching the current shooting mode of the rear camera to a landscape shooting mode when receiving a first identification signal and switching the current shooting mode of the rear camera to a figure shooting mode when receiving a second identification signal;
the SDRAM storage device is respectively connected with the digital processing chip and the targeted filtering device, is used for storing the preset amplitude threshold value and is also used for temporarily storing the bilateral filtering image;
the targeted filtering device is further used for performing bilateral filtering processing on the middle area of the received edge-deepened image only when receiving a second trigger signal so as to obtain a corresponding bilateral filtering image;
wherein, in the targeted filtering device, the middle region of the edge-deepened image is a region occupying the middle position of the edge-deepened image and having an area half of the area of the edge-deepened image;
the amplitude judgment device comprises an interference detection sub-device, an amplitude identification sub-device, an amplitude comparison sub-device and a data output sub-device.
2. The photography mode adaptive switching platform of claim 1, wherein:
in the amplitude determining device, the interference detecting sub-device is connected to the amplitude identifying sub-device, and the amplitude comparing sub-device is connected to the amplitude identifying sub-device and the data outputting sub-device, respectively.
3. The photography mode adaptive switching platform of claim 2, wherein the platform further comprises:
the first image processing device is connected with the targeted filtering device and used for receiving the bilateral filtering image, acquiring each brightness value of each pixel point in the bilateral filtering image, and determining the sharpening grade of the bilateral filtering image based on each brightness value of each pixel point in the bilateral filtering image.
4. The photography mode adaptive switching platform of claim 3, wherein the platform further comprises:
the second image processing device is used for receiving the bilateral filtering image, acquiring the current resolution of the bilateral filtering image and outputting the current resolution;
and the third image processing device is connected with the first image processing device and is used for receiving the sharpening level of the bilateral filtering image and determining the reduction ratio of the corresponding segmentation parameter based on the sharpening level of the bilateral filtering image, wherein the higher the sharpening level of the bilateral filtering image is, the smaller the reduction ratio of the determined corresponding segmentation parameter is.
5. The photography mode adaptive switching platform of claim 4, wherein the platform further comprises:
and the fourth image processing device is connected with the first image processing device and is used for executing wavelet decomposition action of an S layer on the bilateral filtering image so as to obtain each low-frequency parameter of the S layer and each high-frequency parameter from the 1 st layer to the S layer, wherein S is a positive integer greater than or equal to 1.
6. The photography mode adaptive switching platform of claim 5, wherein the platform further comprises:
a fifth image processing device, connected to the fourth image processing device and the third image processing device, respectively, for reducing the preset parameter threshold according to the reduction ratio to obtain a corresponding reduced threshold, and performing the following correction operation on each high-frequency parameter from the 1 st layer to the S-th layer: comparing the numerical value of each high-frequency parameter with the reduced threshold value, when the numerical value is greater than or equal to the reduced threshold value, not correcting the numerical value of the high-frequency parameter, and when the numerical value is smaller than the reduced threshold value, correcting the numerical value of the high-frequency parameter to be zero; the fifth image processing apparatus outputs the respective low-frequency parameters of the S-th layer and the respective corrected high-frequency parameters from the 1 st layer to the S-th layer.
7. The photography mode adaptive switching platform of claim 6, wherein the platform further comprises:
and the sixth image processing device is respectively connected with the data analysis device and the fifth image processing device, and is used for receiving each low-frequency parameter of the S-th layer and each corrected high-frequency parameter from the 1 st layer to the S-th layer, constructing a post-framework image corresponding to the bilateral filtering image based on each low-frequency parameter of the S-th layer and each corrected high-frequency parameter from the 1 st layer to the S-th layer, replacing the bilateral filtering image with the post-framework image and sending the post-framework image to the data analysis device.
8. The photography mode adaptive switching platform of claim 7, wherein:
the first image processing device determining a sharpening level of the bilateral filter image based on each brightness value of each pixel point in the bilateral filter image comprises: and determining the sharpening degree of the bilateral filtering image based on each brightness value of each pixel point in the bilateral filtering image.
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