CN114979493A - Storage space saving platform for photographing APP - Google Patents

Storage space saving platform for photographing APP Download PDF

Info

Publication number
CN114979493A
CN114979493A CN202210650872.7A CN202210650872A CN114979493A CN 114979493 A CN114979493 A CN 114979493A CN 202210650872 A CN202210650872 A CN 202210650872A CN 114979493 A CN114979493 A CN 114979493A
Authority
CN
China
Prior art keywords
picture
frame
shooting
shooting mode
received
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202210650872.7A
Other languages
Chinese (zh)
Inventor
不公告发明人
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Taizhou Yadong Advertising Media Co ltd
Original Assignee
Taizhou Yadong Advertising Media Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Taizhou Yadong Advertising Media Co ltd filed Critical Taizhou Yadong Advertising Media Co ltd
Priority to CN202210650872.7A priority Critical patent/CN114979493A/en
Publication of CN114979493A publication Critical patent/CN114979493A/en
Priority to GBGB2213729.3A priority patent/GB202213729D0/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/95Computational photography systems, e.g. light-field imaging systems
    • H04N23/951Computational photography systems, e.g. light-field imaging systems by using two or more images to influence resolution, frame rate or aspect ratio
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/665Control of cameras or camera modules involving internal camera communication with the image sensor, e.g. synchronising or multiplexing SSIS control signals
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/667Camera operation mode switching, e.g. between still and video, sport and normal or high- and low-resolution modes

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Computing Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Studio Devices (AREA)

Abstract

The invention relates to a storage space saving platform for a photographing APP, which comprises: the mode setting mechanism is used for setting a current shooting mode comprising a reinforcement shooting mode, a static shooting mode and a dynamic shooting mode on a shooting APP running on a shooting terminal under the operation of a user; the shooting executing mechanism is used for executing continuous multi-frame picture acquisition in the reinforcement shooting mode; and the storage judging mechanism is used for executing intelligent reinforcement processing on the received continuous multi-frame pictures in a reinforcement shooting mode to obtain and store single-frame intelligent reinforcement pictures and abandoning and storing the received continuous multi-frame pictures. According to the invention, a reinforcement shooting mode which gives consideration to excellent image quality of different positions of continuous multi-frame pictures can be introduced to realize automatic processing of high-quality pictures, and a storage space saving mechanism with different operation strategies is introduced aiming at different shooting modes, so that the utilization rate of limited storage space is improved.

Description

Storage space saving platform for photographing APP
Technical Field
The invention relates to the field of application programs (APP), in particular to a storage space saving platform for a photographing APP.
Background
With the rich experience of portability, touch screen and high definition, mobile phone devices with various operating systems are changing the business operations of enterprises silently. This has led to the development focus being shifted to mobile application platforms by enterprise-level application vendors, taking APP as its channel to promote brands, reach consumers, and even sell content. The development and popularization of APP become a huge market of the mobile internet industry.
Among the prior art, the shooting APP at various terminals has multiple different shooting modes in order to satisfy user's diversified demand, multiple different shooting modes include dynamic shooting mode, static shooting mode, big light ring shooting mode and night scene shooting mode etc., however current shooting mode is still limited, can't compromise the shooting subregion advantage of different shooting pictures, the inside memory space that is used for the picture storage of terminal is limited simultaneously, current shooting mode all adopts the mode of taking promptly and saving promptly, need afterwards to distinguish and clear away through loaded down with trivial details artifical poor picture, and cause the waste of a large amount of memory spaces.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides a storage space saving platform for a photographing APP (application), which can introduce a reinforcement photographing mode which gives consideration to excellent image quality at different positions of continuous multi-frame pictures so as to realize automatic processing of high-quality pictures, and more importantly, a storage space saving mechanism with different operation strategies is introduced for different photographing modes, so that a user is prevented from falling into a long and tedious arrangement process of poor-quality pictures after photographing.
According to an aspect of the present invention, there is provided a storage space saving platform for a photographing APP, the platform comprising:
the system comprises a mode setting mechanism, a shooting control mechanism and a shooting control mechanism, wherein the mode setting mechanism is used for setting a current shooting mode of a shooting APP running on a shooting terminal under the operation of a user, and the current shooting mode comprises a reinforcement shooting mode, a static shooting mode and a dynamic shooting mode;
the shooting executing mechanism is arranged in the shooting terminal, connected with the mode setting mechanism and used for executing continuous multi-frame picture acquisition when the current shooting mode of the shooting APP is a reinforcement shooting mode;
the shooting execution mechanism is also used for executing single-frame picture acquisition when the current shooting mode of the shooting APP is a static shooting mode;
the storage judging mechanism is connected with the shooting executing mechanism and used for executing intelligent reinforcement processing on the received continuous multi-frame pictures to obtain single-frame intelligent reinforcement pictures when the current shooting mode of the shooting APP is a reinforcement shooting mode;
the storage judging mechanism is also used for obtaining a single-frame intelligent reinforced picture, simultaneously only storing the single-frame intelligent reinforced picture and abandoning to store the received continuous multi-frame pictures;
wherein, when the current shooting mode of the shooting APP is a reinforcement shooting mode, executing intelligent reinforcement processing on the received continuous multi-frame pictures to obtain single-frame intelligent reinforcement pictures comprises: the method comprises the steps of carrying out average blocking processing on each received frame picture to obtain a plurality of sub-picture blocks, carrying out selection operation of high-quality single sub-picture blocks on the sub-picture blocks at the same position in received continuous multi-frame pictures to obtain high-proton picture blocks at each position, and carrying out splicing processing on the high-proton picture blocks at each position to obtain a corresponding single-frame intelligent reinforced picture.
According to another aspect of the present invention, there is also provided a memory space saving method for a photographing APP, the method including using a memory space saving platform for a photographing APP as described above to introduce a purposefully designed reinforcement photographing mode to obtain a smart high-quality picture while performing customized management on a photographed picture of a different photographing mode to reduce unnecessary picture data storage and automatically controlling enabling and disabling of a setting photographing mode according to a remaining memory space capacity.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic diagram illustrating an internal structure of a storage space saving platform for a photo APP according to a first embodiment of the present invention.
Fig. 2 is a schematic diagram illustrating an internal structure of a storage space saving platform for a photographing APP according to a second embodiment of the present invention.
Detailed Description
Embodiments of a storage space saving platform for a photographing APP of the present invention will be described in detail below with reference to the accompanying drawings.
The shooting mode is colloquially said to be the way controlled by the photographer. For example, in the full-automatic mode, the camera controls the aperture shutter sensitivity, and people only need to press the shutter, which is similar to the shooting of a mobile phone. The system is suitable for snapshot or novice shooting because of no operability and is also called fool mode; the flash lamp closing mode has the only difference from the full-automatic mode that the flash lamp on the set top cannot be popped up automatically, and is practical in occasions where the flash lamp cannot be used, such as conferences and antiques, and other functions are the same as those of the full-automatic shooting mode.
Among the prior art, the shooting APP of various terminals has multiple different shooting modes in order to satisfy user's diversified demand, except above-mentioned two kinds of shooting modes, multiple different shooting modes still include dynamic shooting mode, static shooting mode, big light ring shooting mode and night scene shooting mode etc., however current shooting mode is still limited, can't compromise the subregion advantage of taking of different shooting pictures, the inside memory space that is used for the picture storage of terminal is limited simultaneously, however current shooting mode all adopts the mode of taking promptly and depositing promptly, need in fact through loaded down with trivial details artifical poor picture differentiation and clear up afterwards, and cause the waste of a large amount of memory space.
In order to overcome the defects, the invention builds a storage space saving platform for the photographing APP, and can effectively solve the corresponding technical problem.
The invention has the following prominent substantive characteristics: firstly, a reinforcement shooting mode designed in a targeted manner is quoted for a shooting APP to obtain an intelligent high-quality picture, wherein average blocking processing is carried out on each received frame of picture to obtain a plurality of sub-picture blocks, selection operation of a single high-quality sub-picture block is carried out on the sub-picture blocks at the same position in received continuous multi-frame pictures to obtain high-proton picture blocks at each position, and splicing processing is carried out on the high-proton picture blocks at each position to obtain a corresponding single-frame intelligent reinforcement picture; secondly, different customized management is respectively executed on shot pictures of different shooting modes including a reinforcement shooting mode, a static shooting mode and a dynamic shooting mode so as to reduce unnecessary picture data storage under the condition of no need of manual interference; and finally, calculating the average data volume of each frame of picture currently stored in the storage space corresponding to the photographing APP to obtain a single-frame storage volume, dividing the residual storage capacity of the storage space by the single-frame storage volume to obtain a residual storage number, and when the received residual storage number is less than or equal to a set number limit, forbidding a reinforcement photographing mode and a dynamic photographing mode of the photographing APP and keeping the static photographing mode of the photographing APP.
Fig. 1 is a schematic diagram illustrating an internal structure of a storage space saving platform for photo APP according to a first embodiment of the present invention, where the platform includes:
the system comprises a mode setting mechanism, a shooting control mechanism and a shooting control mechanism, wherein the mode setting mechanism is used for setting a current shooting mode for a shooting APP running on a shooting terminal under the operation of a user, and the current shooting mode comprises a reinforcement shooting mode, a static shooting mode and a dynamic shooting mode;
the shooting executing mechanism is arranged in the shooting terminal, connected with the mode setting mechanism and used for executing continuous multi-frame picture acquisition when the current shooting mode of the shooting APP is a reinforcement shooting mode;
the shooting execution mechanism is also used for executing single-frame picture acquisition when the current shooting mode of the shooting APP is a static shooting mode;
the storage judging mechanism is connected with the shooting executing mechanism and used for executing intelligent reinforcement processing on the received continuous multi-frame pictures to obtain single-frame intelligent reinforcement pictures when the current shooting mode of the shooting APP is a reinforcement shooting mode;
the storage judging mechanism is also used for obtaining a single-frame intelligent reinforced picture, simultaneously only storing the single-frame intelligent reinforced picture and abandoning to store the received continuous multi-frame pictures;
wherein, when the current shooting mode of the shooting APP is a reinforcement shooting mode, executing intelligent reinforcement processing on the received continuous multi-frame pictures to obtain single-frame intelligent reinforcement pictures comprises: the method comprises the steps of carrying out average blocking processing on each received frame picture to obtain a plurality of sub-picture blocks, carrying out selection operation of high-quality single sub-picture blocks on the sub-picture blocks at the same position in received continuous multi-frame pictures to obtain high-proton picture blocks at each position, and carrying out splicing processing on the high-proton picture blocks at each position to obtain a corresponding single-frame intelligent reinforced picture.
Next, a further description of a specific structure of the storage space saving platform for photographing APP of the present invention is continued.
Fig. 2 is a schematic diagram illustrating an internal structure of a storage space saving platform for photo APP according to a second embodiment of the present invention, and compared with the first embodiment of the present invention, the platform may further include:
the space management mechanism is arranged in the shooting terminal and used for executing storage space management on the storage space of the shooting terminal for executing the storage of the collected pictures;
the content display mechanism is arranged in the shooting terminal, is connected with the space management mechanism and is used for receiving and storing the residual storage number in real time;
the space management mechanism is internally provided with a space measuring unit and a frame number calculating unit, and the space measuring unit is used for measuring the residual storage capacity of the storage space of the shooting terminal for executing the storage of the collected pictures;
the frame number calculating unit is connected with the space measuring unit and used for performing average data volume calculation on each frame picture currently stored in the storage space to obtain single-frame storage volume and dividing the residual storage capacity by the single-frame storage volume to obtain residual storage number;
the mode setting mechanism is further connected with the space management mechanism and used for disabling the reinforcement shooting mode and the dynamic shooting mode of the shooting APP and keeping the static shooting mode of the shooting APP when the received residual storage number is less than or equal to a set number limit;
the mode setting mechanism is further used for enabling the reinforcement shooting mode and the dynamic shooting mode of the shooting APP when the received residual storage number is larger than the set number limit.
In a storage space saving platform for a photo APP according to any embodiment of the present invention:
the method comprises the following steps of performing average blocking processing on each received frame picture to obtain a plurality of sub-picture blocks, performing selection operation of a high-quality single sub-picture block on the sub-picture block at the same position in received continuous multi-frame pictures to obtain high-proton picture blocks at each position, and performing splicing processing on the high-proton picture blocks at each position to obtain a corresponding single-frame intelligent reinforced picture: the higher the definition of a sub-picture block, the higher the quality of the sub-picture block;
the method for performing average blocking processing on each received frame of picture to obtain a plurality of sub-picture blocks, performing selection operation of a single high-quality sub-picture block on the sub-picture block at the same position in the received continuous multi-frame pictures to obtain high-proton picture blocks at each position, and performing splicing processing on the high-proton picture blocks at each position to obtain a corresponding single-frame intelligent reinforced picture further comprises: performing definition comparison on sub-picture blocks at the same position in received continuous multi-frame pictures, and taking the sub-picture block with the highest definition as a high-quality single sub-picture block at the position;
the method for performing average blocking processing on each received frame of picture to obtain a plurality of sub-picture blocks, performing selection operation of a single high-quality sub-picture block on the sub-picture block at the same position in the received continuous multi-frame pictures to obtain high-proton picture blocks at each position, and performing splicing processing on the high-proton picture blocks at each position to obtain a corresponding single-frame intelligent reinforced picture further comprises: the received sub-picture blocks at the same position in the continuous multi-frame pictures refer to the sub-picture blocks of the pixel point set which occupy the same horizontal coordinate range and vertical coordinate range in each received frame picture;
the received sub-picture blocks at the same position in the continuous multi-frame pictures refer to the sub-picture blocks of the pixel point set which occupies the same horizontal coordinate range and vertical coordinate range in each received frame picture, and the sub-picture blocks comprise: in each received frame, the pixel point at the lower left corner is taken as the origin of the two-dimensional coordinate system.
In a storage space saving platform for a photo APP according to any embodiment of the present invention:
the shooting executing mechanism is also used for executing continuous multi-frame picture collection when the current shooting mode of the shooting APP is a dynamic shooting mode;
and the storage judging mechanism is also used for keeping the received continuous multi-frame pictures when the current shooting mode of the shooting APP is the dynamic shooting mode.
And in a storage space saving platform for a photo APP shown according to any embodiment of the invention:
the storage judging mechanism is further configured to perform inferior picture discarding processing on the received single-frame picture when the current shooting mode of the shooting APP is the static shooting mode, and the inferior picture discarding processing includes: when the signal-to-noise ratio of the received single frame picture is lower than a set signal-to-noise ratio threshold value or the noise type number of the received single frame picture exceeds a set number threshold value, judging that the received single frame picture is a poor picture and abandoning and storing the received single frame picture;
wherein, it still includes still to persist the processing of abandoning to the single frame picture that receives to persist the judgement mechanism still when the current shooting mode of the APP of shooing is static shooting mode: and when the signal-to-noise ratio of the received single frame picture is higher than or equal to the set signal-to-noise ratio threshold and the noise type number of the received single frame picture does not exceed the set number threshold, judging that the received single frame picture is a high-quality picture and storing the received single frame picture.
Meanwhile, in order to overcome the defects, the invention also builds a storage space saving method for the shooting APP, and the method comprises the steps of using the storage space saving platform for the shooting APP to introduce a purposefully designed reinforcement shooting mode to obtain an intelligent high-quality picture, simultaneously carrying out customized management on the shot pictures in different shooting modes to reduce unnecessary picture data storage, and automatically controlling the enabling and disabling of the set shooting mode according to the residual storage space capacity.
In addition, in the storage space saving platform for shooting APP, performing an average blocking process on each received frame of picture to obtain a plurality of sub-picture blocks, performing a selection operation of a single sub-picture block of high quality on the sub-picture block at the same position in the received continuous multi-frame pictures to obtain high proton picture blocks at each position, and performing a stitching process on the high proton picture blocks at each position to obtain a corresponding single-frame intelligent enhanced picture includes: the method comprises the steps of carrying out average blocking processing on each received frame picture to obtain a plurality of sub-picture blocks, carrying out selection operation of high-quality single sub-picture blocks on the sub-picture blocks at the same position in received continuous multi-frame pictures to obtain high-proton picture blocks at each position, and carrying out splicing processing and edge smoothing processing on the high-proton picture blocks at each position to obtain a corresponding single-frame intelligent reinforced picture.
By adopting the storage space saving platform for the photo APP, aiming at the technical problems that in the prior art, a large amount of post-processing is needed for high-quality pictures of the photo APP, and too many poor-quality pictures are stored in an instant photo and instant storage mode, and a complicated and lengthy arrangement process is needed in the later stage, a reinforcement shooting mode which gives consideration to excellent image quality of different positions of continuous multiframe pictures can be introduced to realize automatic processing of the high-quality pictures, and a storage space saving mechanism with different operation strategies is introduced aiming at different shooting modes, so that the utilization rate of the limited storage space of the terminal where the photo APP is located is improved.
The present invention has been described with reference to exemplary embodiments thereof, but those skilled in the art will be able to make various modifications to the described embodiments without departing from the spirit and scope thereof. The terms and descriptions used herein are set forth by way of illustration only and are not meant as limitations. In particular, although the methods have been described by way of example, the steps of the methods may be performed in a different order than illustrated or simultaneously. It will be appreciated by those skilled in the art that these and other changes may be made within the spirit and scope as defined in the following claims and their equivalents.

Claims (10)

1. A storage space saving platform for a photo APP, the platform comprising:
the system comprises a mode setting mechanism, a shooting control mechanism and a shooting control mechanism, wherein the mode setting mechanism is used for setting a current shooting mode of a shooting APP running on a shooting terminal under the operation of a user, and the current shooting mode comprises a reinforcement shooting mode, a static shooting mode and a dynamic shooting mode;
the shooting executing mechanism is arranged in the shooting terminal, connected with the mode setting mechanism and used for executing continuous multi-frame picture acquisition when the current shooting mode of the shooting APP is a reinforcement shooting mode;
the shooting execution mechanism is also used for executing single-frame picture acquisition when the current shooting mode of the shooting APP is a static shooting mode;
the storage judging mechanism is connected with the shooting executing mechanism and used for executing intelligent reinforcement processing on the received continuous multi-frame pictures to obtain single-frame intelligent reinforcement pictures when the current shooting mode of the shooting APP is a reinforcement shooting mode;
the storage judging mechanism is also used for obtaining a single-frame intelligent reinforced picture, simultaneously only storing the single-frame intelligent reinforced picture and abandoning to store the received continuous multi-frame pictures;
wherein, when the current shooting mode of the shooting APP is a reinforcement shooting mode, executing intelligent reinforcement processing on the received continuous multi-frame pictures to obtain single-frame intelligent reinforcement pictures comprises: the method comprises the steps of carrying out average blocking processing on each received frame picture to obtain a plurality of sub-picture blocks, carrying out selection operation of high-quality single sub-picture blocks on the sub-picture blocks at the same position in received continuous multi-frame pictures to obtain high-proton picture blocks at each position, and carrying out splicing processing on the high-proton picture blocks at each position to obtain a corresponding single-frame intelligent reinforced picture.
2. The storage space saving platform for photo APP of claim 1 wherein said platform further comprises:
the space management mechanism is arranged in the shooting terminal and used for executing storage space management on the storage space of the shooting terminal for executing the storage of the collected pictures;
the space management mechanism is internally provided with a space measuring unit and a frame number calculating unit, and the space measuring unit is used for measuring the residual storage capacity of the storage space of the shooting terminal for executing the storage of the collected pictures;
the frame number calculating unit is connected with the space measuring unit and used for calculating the average data volume of each frame picture currently stored in the storage space to obtain a single-frame storage volume, and dividing the residual storage capacity by the single-frame storage volume to obtain the residual storage number.
3. The storage space saving platform for photo APP of claim 2 wherein said platform further comprises:
the content display mechanism is arranged in the shooting terminal, is connected with the space management mechanism and is used for receiving and storing the residual storage number in real time;
the mode setting mechanism is further connected with the space management mechanism and used for disabling the reinforcement shooting mode and the dynamic shooting mode of the shooting APP and keeping the static shooting mode of the shooting APP when the received residual storage number is less than or equal to a set number limit;
the mode setting mechanism is further used for enabling the reinforcement shooting mode and the dynamic shooting mode of the shooting APP when the received residual storage number is larger than the set number limit.
4. The storage space saving platform for photo APP as claimed in any one of claims 1-3 wherein:
the method comprises the following steps of performing average blocking processing on each received frame picture to obtain a plurality of sub-picture blocks, performing selection operation of a high-quality single sub-picture block on the sub-picture block at the same position in received continuous multi-frame pictures to obtain high-proton picture blocks at each position, and performing splicing processing on the high-proton picture blocks at each position to obtain a corresponding single-frame intelligent reinforced picture: the higher the sharpness of a sub-picture block, the higher the quality of the sub-picture block.
5. The storage space saving platform for photo APP of claim 4 wherein:
the method comprises the following steps of performing average blocking processing on each received frame picture to obtain a plurality of sub-picture blocks, performing selection operation of a single high-quality sub-picture block on the sub-picture block at the same position in the received continuous multi-frame pictures to obtain high-proton picture blocks at each position, and performing splicing processing on the high-proton picture blocks at each position to obtain a corresponding single-frame intelligent reinforced picture, wherein the method further comprises the following steps: and performing definition comparison on the sub-picture blocks at the same position in the received continuous multi-frame pictures, and taking the sub-picture block with the highest definition as a high-quality single sub-picture block at the position.
6. The storage space saving platform for photo APP of claim 5 wherein:
the method for carrying out average blocking processing on each received frame picture to obtain a plurality of sub-picture blocks, carrying out selection operation of high-quality single sub-picture blocks on the sub-picture blocks at the same position in the received continuous multi-frame pictures to obtain high-proton picture blocks at each position, and carrying out splicing processing on the high-proton picture blocks at each position to obtain a corresponding single-frame intelligent reinforced picture further comprises the following steps: the sub-picture blocks at the same position in the received continuous multi-frame pictures refer to the sub-picture blocks of the pixel point set which occupies the same horizontal coordinate range and vertical coordinate range in each received frame picture.
7. The storage space saving platform for photo APP of claim 6 wherein:
the received sub-picture blocks at the same position in the continuous multi-frame pictures refer to the sub-picture blocks of the pixel point set which occupies the same horizontal coordinate range and vertical coordinate range in each received frame picture, and the sub-picture blocks comprise: in each received frame, the pixel point at the lower left corner is taken as the origin of the two-dimensional coordinate system.
8. The storage space saving platform for photo APP as claimed in any one of claims 1-3 wherein:
the shooting executing mechanism is also used for executing continuous multi-frame picture collection when the current shooting mode of the shooting APP is a dynamic shooting mode;
and the storage judging mechanism is also used for keeping the received continuous multi-frame pictures when the current shooting mode of the shooting APP is the dynamic shooting mode.
9. The storage space saving platform for photo APP as claimed in any one of claims 1-3 wherein:
the storage judging mechanism is further used for executing poor picture discarding processing on the received single-frame picture when the current shooting mode of the shooting APP is the static shooting mode, and the poor picture discarding processing comprises the following steps: when the signal-to-noise ratio of the received single frame picture is lower than a set signal-to-noise ratio threshold value or the noise type number of the received single frame picture exceeds a set number threshold value, judging that the received single frame picture is a poor picture and abandoning and storing the received single frame picture;
wherein, it still includes still to persist the processing of abandoning to the single frame picture that receives to persist the judgement mechanism still when the current shooting mode of the APP of shooing is static shooting mode: and when the signal-to-noise ratio of the received single frame picture is higher than or equal to the set signal-to-noise ratio threshold and the noise type number of the received single frame picture does not exceed the set number threshold, judging that the received single frame picture is a high-quality picture and storing the received single frame picture.
10. A memory space saving method for photo APP, the method comprising using the memory space saving platform for photo APP as claimed in any one of claims 1 to 9 to introduce a purposefully designed reinforcement shooting mode to obtain a smart high-quality picture while performing customized management on a shot of a different shooting mode to reduce unnecessary picture data storage and automatically controlling enabling and disabling of a set shooting mode according to a remaining memory space capacity.
CN202210650872.7A 2022-06-10 2022-06-10 Storage space saving platform for photographing APP Pending CN114979493A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202210650872.7A CN114979493A (en) 2022-06-10 2022-06-10 Storage space saving platform for photographing APP
GBGB2213729.3A GB202213729D0 (en) 2022-06-10 2022-09-20 Storage space saving platform for photographic app, mobile phone app management platform based on key frame information, pedometer application api function

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210650872.7A CN114979493A (en) 2022-06-10 2022-06-10 Storage space saving platform for photographing APP

Publications (1)

Publication Number Publication Date
CN114979493A true CN114979493A (en) 2022-08-30

Family

ID=82962041

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210650872.7A Pending CN114979493A (en) 2022-06-10 2022-06-10 Storage space saving platform for photographing APP

Country Status (1)

Country Link
CN (1) CN114979493A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116347229A (en) * 2022-12-21 2023-06-27 荣耀终端有限公司 Image shooting method and electronic equipment

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070053596A1 (en) * 2005-09-02 2007-03-08 Fuji Xerox Co., Ltd. Image processing apparatus, image processing method and storage medium storing program thereof
CN106485689A (en) * 2016-10-10 2017-03-08 努比亚技术有限公司 A kind of image processing method and device
CN109831625A (en) * 2019-01-30 2019-05-31 努比亚技术有限公司 It takes pictures processing method, mobile terminal and computer readable storage medium
CN112911058A (en) * 2021-01-20 2021-06-04 惠州Tcl移动通信有限公司 Photographing control method and device, mobile terminal and storage medium
CN114339412A (en) * 2021-12-30 2022-04-12 咪咕文化科技有限公司 Video quality enhancement method, mobile terminal, storage medium and device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070053596A1 (en) * 2005-09-02 2007-03-08 Fuji Xerox Co., Ltd. Image processing apparatus, image processing method and storage medium storing program thereof
CN106485689A (en) * 2016-10-10 2017-03-08 努比亚技术有限公司 A kind of image processing method and device
CN109831625A (en) * 2019-01-30 2019-05-31 努比亚技术有限公司 It takes pictures processing method, mobile terminal and computer readable storage medium
CN112911058A (en) * 2021-01-20 2021-06-04 惠州Tcl移动通信有限公司 Photographing control method and device, mobile terminal and storage medium
CN114339412A (en) * 2021-12-30 2022-04-12 咪咕文化科技有限公司 Video quality enhancement method, mobile terminal, storage medium and device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116347229A (en) * 2022-12-21 2023-06-27 荣耀终端有限公司 Image shooting method and electronic equipment
CN116347229B (en) * 2022-12-21 2024-03-15 荣耀终端有限公司 Image shooting method and electronic equipment

Similar Documents

Publication Publication Date Title
EP3053332B1 (en) Using a second camera to adjust settings of first camera
US9544497B2 (en) System and method for determining image resolution
US9066017B2 (en) Viewfinder display based on metering images
US8493464B2 (en) Resolution adjusting method
CN100553301C (en) The modification method of brightness
CN104052933A (en) Method for determining dynamic range mode, and image obtaining apparatus
CN106851112A (en) The photographic method and system of a kind of mobile terminal
CN110958401A (en) Super night scene image color correction method and device and electronic equipment
CN111246114B (en) Photographing processing method and device, terminal equipment and storage medium
CN107105172B (en) Focusing method and device
CN105578062A (en) Light metering mode selection method and image acquisition device utilizing same
EP3836532A1 (en) Control method and apparatus, electronic device, and computer readable storage medium
CN110971841A (en) Image processing method, image processing device, storage medium and electronic equipment
CN114979493A (en) Storage space saving platform for photographing APP
CN107404616B (en) Photographing method for adjusting light sensitivity of camera, mobile terminal and storage device
JP2014103643A (en) Imaging device and subject recognition method
US8384801B2 (en) Scene-dependent auto exposure control
CN105827890A (en) Method and apparatus for scanning 2D codes
WO2022088882A1 (en) Photographing method and apparatus, and terminal, and computer readable storage medium
CN106488128B (en) Automatic photographing method and device
CN111654623B (en) Photographing method and device and electronic equipment
CN110493519B (en) Image acquisition method of mobile terminal, computer readable medium and computer device
CN111866383A (en) Image processing method, terminal and storage medium
CN110072050A (en) Self-adapting regulation method, device and a kind of capture apparatus of exposure parameter
CN111327831B (en) Image acquisition method and device for UGC, electronic equipment and system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20220830