CN105227841A - To take pictures reminding method and device - Google Patents
To take pictures reminding method and device Download PDFInfo
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- CN105227841A CN105227841A CN201510671146.3A CN201510671146A CN105227841A CN 105227841 A CN105227841 A CN 105227841A CN 201510671146 A CN201510671146 A CN 201510671146A CN 105227841 A CN105227841 A CN 105227841A
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Abstract
The invention provides one to take pictures reminding method and device, this reminding method of taking pictures comprises: by dodging after take mode obtains photo, obtain the quality characterization information of this photo; Wherein this quality characterization information is for reflecting the quality of this photo; Judge whether this quality characterization information meets preset requirement; If it is determined that this quality characterization information meets this preset requirement, then preset prompting mode by first and carry out information; If it is determined that this quality characterization information does not meet this preset requirement, then carry out information by the second predetermined manner.Take pictures reminding method and the device of the present embodiment, by in sudden strain of a muscle bat process, according to the difference of the quality of photo to the different information of user, be convenient to user knows photo quality according to information, thus it is convenient to make user use, improve QoS of customer.
Description
Technical field
The present invention relates to the communications field, particularly relate to one and to take pictures reminding method and device.
Background technology
Along with the development of smart mobile phone, increasing user uses smart mobile phone to take pictures.Particularly dodge shooting function, due to user use this function time, when not needing to enter camera interface, just can complete and take pictures, therefore more efficient and convenient.
Such as, but due in existing sudden strain of a muscle bat process, whether user cannot see the photo oneself taken, and screen may be black state in most cases, therefore cannot know the shooting situation of photo, expose normal; If when sudden strain of a muscle bat object is personage, cannot know in photo whether there is complete face etc.User, only after having taken pictures, just can view photo.And dodge that to take a picture be that user carried out taking obtaining in of short duration moment mostly, if when the photo lithography photographed is abnormal, is difficult to reduction due to the scene of taking pictures and reproduces, being difficult to again obtain original photo.Therefore make user use inconvenience, thus reduce the service quality of user.
Summary of the invention
The embodiment of the present invention provides one to take pictures reminding method and device, with solve existing sudden strain of a muscle shooting function user cannot be known in shooting whether photographic quality meets the demands, and causes the technical problem that QoS of customer is poor.
For solving the problem, technical scheme provided by the invention is as follows:
The embodiment of the present invention provides one to take pictures reminding method, and it comprises:
After obtaining photo by sudden strain of a muscle take mode, obtain the quality characterization information of described photo; Wherein said quality characterization information is for reflecting the quality of described photo;
Judge whether described quality characterization information meets preset requirement;
If it is determined that described quality characterization information meets described preset requirement, then preset prompting mode by first and carry out information;
If it is determined that described quality characterization information does not meet described preset requirement, then carry out information by the second predetermined manner.
The embodiment of the present invention also provides one to take pictures suggestion device, and it comprises:
Acquisition module, for after obtaining photo by sudden strain of a muscle take mode, obtains the quality characterization information of described photo; Wherein said quality characterization information is for reflecting the quality of described photo;
Quality estimation module, for judging whether described quality characterization information meets preset requirement;
First reminding module, if it is determined that when meeting described preset requirement for described quality characterization information, then presets prompting mode by first and carries out information; If it is determined that when described quality characterization information does not meet described preset requirement, then carry out information by the second predetermined manner.
Compared to prior art, take pictures reminding method and the device of the present embodiment, by sudden strain of a muscle bat process, according to the difference of the quality of photo to the different information of user, be convenient to user knows photo quality according to information, thus make user convenient, improve QoS of customer.
Accompanying drawing explanation
Fig. 1 is the flow chart of the first preferred embodiment of reminding method of taking pictures of the present invention;
Fig. 2 is the flow chart of the second preferred embodiment of reminding method of taking pictures of the present invention;
Fig. 3 is the structural representation of the first preferred embodiment of suggestion device of taking pictures of the present invention;
Fig. 4 is the structural representation of the second preferred embodiment of suggestion device of taking pictures of the present invention;
Fig. 5 is the first structural representation of the Quality estimation module of the second preferred embodiment of suggestion device of taking pictures of the present invention;
Fig. 6 is the second structural representation of the Quality estimation module of the second preferred embodiment of suggestion device of taking pictures of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those skilled in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Please refer to Fig. 1, Fig. 1 is the flow chart of the first preferred embodiment of reminding method of taking pictures of the present invention.
The reminding method of taking pictures of this preferred embodiment, comprising:
Step S101, after obtaining photo by sudden strain of a muscle take mode, obtains the quality characterization information of this photo; Wherein this quality characterization information is for reflecting the quality of this photo;
Step S102, judges whether this quality characterization information meets preset requirement;
Step S103, if it is determined that this quality characterization information meets this preset requirement, then presets prompting mode by first and carries out information;
Step S104, if it is determined that this quality characterization information does not meet this preset requirement, then carries out information by the second predetermined manner.
The photo classification method of this preferred embodiment ends at step S104.
The following detailed description of the idiographic flow of each step of the reminding method of taking pictures of this preferred embodiment.
In step S101, terminal, after obtaining photo by sudden strain of a muscle take mode, obtains quality characterization information; This terminal can be the equipment such as mobile phone, panel computer; Wherein this quality characterization information is for reflecting the quality of this photo; This quality characterization information can also comprise definition and the exposure accuracy of photo; Instruction is clapped in the sudden strain of a muscle that such as terminal first receives user's transmission, then takes pictures according to sudden strain of a muscle bat instruction, obtains photo, and this photographing instruction can dodge bat start button for pressing, and start button is for example " volume+and volume-" button, forwards step S102 to subsequently.
In step s 102, whether this quality characterization information of terminal judges meets preset requirement; Such as whether can expose accurately by terminal judges photo, if terminal judges that this quality characterization information meets preset requirement, then forward step 103 to; If terminal judges that this quality characterization information does not meet preset requirement, then forward step 104 to;
In step s 103, terminal carries out information by the first default prompting mode; Such as terminal can pass through breath light display reminding information, such as, when this quality characterization information of terminal judges meets preset requirement, and breath light Chang Liang.Certainly, also can be undertaken pointing out this quality characterization information whether to meet preset requirement by sound.
In step S104, terminal carries out information by the second predetermined manner.Such as terminal can pass through breath light display reminding information, and such as, when this quality characterization information of terminal judges does not meet preset requirement, breath light glimmers.
The reminding method of taking pictures of the present embodiment, by sudden strain of a muscle bat process, according to the difference of the quality of photo to the different information of user, is convenient to user knows photo quality according to information, thus makes user convenient, improve QoS of customer.
Please refer to Fig. 2, Fig. 2 is the flow chart of the second preferred embodiment of reminding method of taking pictures of the present invention.
Step S201, after obtaining photo by sudden strain of a muscle take mode, obtains quality characterization information; Wherein this quality characterization information is for reflecting the quality of this photo;
Step S202, judges whether this quality characterization information meets preset requirement;
Step S203, if this quality characterization information meets this preset requirement, then presets prompting mode by first and carries out information;
Step S204, if this quality characterization information does not meet this preset requirement, then carries out information by the second predetermined manner;
Step S205, judges whether there is complete facial image in this photo;
Step S206, if it is determined that there is complete facial image in this photo, then presets prompting mode by the 3rd and carries out information;
Step S207, if it is determined that there is not complete facial image in this photo, then presets prompting mode by the 4th and carries out information.
Whether step S208, detect to receive to dodge and clap END instruction;
Step S209, when detecting that END instruction is clapped in this sudden strain of a muscle, then points out user.
The photo classification method of this preferred embodiment ends at step S209.
The step S201 to step S204 of this preferred embodiment is identical to step S104 with the step S101 in the first preferred embodiment, and the idiographic flow of the step S201 to step S204 of this preferred embodiment refers to the associated description in above-mentioned first preferred embodiment.
Complete facial image whether is there is in step S205, in this photo of terminal judges; Such as, when sudden strain of a muscle bat object comprises portrait, then in user's comparison film, the attention rate of face is higher, such as terminal can judge whether there is complete facial image in this photo by face recognition technology; If it is determined that there is complete facial image in this photo, then forward step S206 to; If it is determined that there is not complete facial image in this photo, then forward step S207 to;
In step S206, terminal by the 3rd preset prompting mode carry out information; For example can be pointed out by breath light, when terminal judges to there is complete facial image in this photo, this breath light Chang Liang; Certainly sound can be used to carry out whether there is complete facial image in prompting photo; Preferably, correspondingly can also point out according to the number of the face detected, the face number such as detected is more, and the time of prompting sound sound equipment is longer.
In step S207, terminal by the 4th preset prompting mode carry out information; For example can be pointed out by breath light, when terminal judges there is not complete facial image in this photo, this breath light glimmers;
In step S208, terminal detect whether receive dodge clap END instruction; Such as press end key of taking pictures, if when detecting that END instruction is clapped in this sudden strain of a muscle, then forward step S209 to; If when not detecting that END instruction is clapped in this sudden strain of a muscle, then return step S208;
In step S209, terminal notifying user, such as terminal sends the cue of having taken pictures to user, such as when having taken pictures, can pass through vibration mode reminding user.
Preferably, because whether exposure is normally the qualitative factor that user mainly pays close attention to, therefore, above-mentioned steps S202 can comprise;
Step (1), judge whether this photo exposes accurately;
Step (2) if this photo lithography is accurate, then judges that this quality characterization information meets this preset requirement;
Step (3) if this photo lithography is inaccurate, then judges that this quality characterization information does not meet this preset requirement.
In step (1), whether this photo of terminal judges exposes accurately, and whether such as terminal judges photo exposes normally, if this photo lithography of terminal judges is normal, then forwards step (2) to; If this photo lithography of terminal judges is abnormal, then forward step (3) to;
In step (2), terminal judges that this quality characterization information meets this preset requirement; Such as this photo lithography of terminal judges is normal, then show that this quality characterization information meets this preset requirement;
In step (3), terminal judges that this quality characterization information does not meet this preset requirement; Such as this photo lithography of terminal judges is abnormal, then show that this quality characterization information does not meet this preset requirement.
Preferably, can reflect that whether exposure is accurate according to the brightness of photo and pixel quantity in such as step (1) again, namely judge whether this photo exposes and accurately can comprise:
According to the brightness value of this photo and pixel quantity, A, terminal judge that whether this photo lithography is accurate.Wherein steps A can adopt first kind of way to implement:
Steps A 11, obtain brightness value in this photo and be greater than the pixel quantity of predetermined luminance value, as the first pixel value, and obtain the total pixel number amount of this photo, as the second pixel value; And obtain the first ratio of this first pixel value and this second pixel value;
Steps A 12, judge this first ratio whether in preset range;
If this first ratio of steps A 13 in this preset range, then judges that this photo lithography is accurate;
If this first ratio of steps A 14 not in this preset range, then judges that this photo lithography is inaccurate.
In steps A 11, terminal can obtain brightness value in this photo and is greater than the pixel quantity of predetermined luminance value and the total pixel number amount of this photo, this predetermined luminance value is such as average brightness, the such as photo of 0-255 GTG, this predetermined luminance value is 128, particularly, obtain the pixel quantity that grey decision-making is greater than 128, as the first pixel value, also the pixel quantity of high-brightness region is namely obtained, and whole pixel quantity in this photo, as the second pixel value, calculate the first ratio of this first pixel value and this second pixel value; Such as terminal obtains the histogram of photo, obtains the first pixel value and the second pixel value and the first ratio from this histogram; The first ratio such as got is 80%; Forward steps A 12 subsequently to;
In steps A 12, whether this first ratio of terminal judges in preset range; This preset range sets based on experience value, such as, can be daytime or evening according to the shooting time of photo, arrange different preset range; For example judge this first ratio whether in preset range, if terminal judges that this first ratio is in this preset range, then forward steps A 13 to according to the histogram in steps A 12; If terminal judges that this first ratio is not in this preset range, then forward steps A 14 to;
In steps A 13, terminal judges that this photo lithography is accurate; Namely terminal judges exposure is normal.Such as this preset range is 40%-60%, and the first ratio obtained from histogram is 50%, and visible first ratio is in preset range, and also namely the pixel quantity distribution of high-brightness region and low brightness area is moderate, then show that exposure is normal.
In steps A 14, terminal judges that this photo lithography is inaccurate; Namely terminal judges exposure is abnormal.Such as this preset range is 40%-60%, and the first ratio obtained from histogram is 80%, and visible first ratio is not in preset range, and also namely the pixel quantity distribution of high-brightness region too much, then shows overexposure.Such as this preset range is 40%-60%, and the first ratio obtained from histogram is 20%, and visible first ratio is not in preset range, and also namely the pixel quantity distribution of high-brightness region is very few, then show under-exposure.
Wherein steps A can also adopt the second way to implement:
Steps A 21, obtain brightness value in this photo and be less than the pixel quantity of predetermined luminance value, as the 3rd pixel value, and obtain the total pixel number amount of this photo, as the second pixel value; And obtain the second ratio of the 3rd pixel value and this second pixel value;
Steps A 22, judge this second ratio whether in preset range;
If this second ratio of steps A 23 in this preset range, then judges that this photo lithography is accurate;
If this second ratio of steps A 24 not in this preset range, then judges that this photo lithography is inaccurate.
In steps A 21, terminal can obtain brightness value in this photo and is less than the pixel quantity of predetermined luminance value and the total pixel number amount of this photo, this predetermined luminance value is such as average brightness, the such as photo of 0-255 GTG, predetermined luminance value is 128, particularly, obtain the pixel quantity that grey decision-making is less than 128, as the 3rd pixel value, also the pixel quantity of low brightness area is namely obtained, and whole pixel quantity in this photo, as the second pixel value, calculate the second ratio of the 3rd pixel value and this second pixel value; Such as terminal obtains the histogram of photo, obtains the 3rd pixel value and the second pixel value and the second ratio from this histogram; The second ratio such as got is 80%; Forward steps A 22 subsequently to;
In steps A 22, whether this second ratio of terminal judges in preset range; This preset range sets based on experience value, such as, can be daytime or evening according to the shooting time of photo, arrange different preset range; For example judge this second ratio whether in preset range, if terminal judges that this second ratio is in this preset range, then forward steps A 23 to according to the histogram in steps A 21; If terminal judges that this second ratio is not in this preset range, then forward steps A 24 to;
In steps A 23, terminal judges that this photo lithography is accurate; Namely terminal judges exposure is normal.Such as this preset range is 40%-60%, and the second ratio obtained from histogram is 50%, and visible second ratio is in preset range, and also namely the pixel quantity distribution of high-brightness region and low brightness area is moderate, then show that exposure is good.
In steps A 24, terminal judges that this photo lithography is inaccurate; Namely terminal judges exposure is abnormal.Such as this preset range is 40%-60%, and the second ratio obtained from histogram is 80%, and visible second ratio is not in preset range, and also namely the pixel quantity distribution of low brightness area too much, then shows under-exposure.This preset range is 40%-60%, and the second ratio obtained from histogram is 10%, and visible second ratio is not in preset range, and also namely the pixel quantity distribution of low brightness area is very few, then show overexposure.
The reminding method of taking pictures of this preferred embodiment, on the basis of the first embodiment, can judge to dodge in bat process whether get complete face further, and provide different informations according to judged result, thus further facilitate the shooting situation that user knows photo, improve QoS of customer.
Please refer to Fig. 3, Fig. 3 is the structural representation of the first preferred embodiment of suggestion device of taking pictures of the present invention.The photo classification device 30 of this preferred embodiment comprises acquisition module 31, Quality estimation module 32, first reminding module 33;
This acquisition module 31, for after obtaining photo by sudden strain of a muscle take mode, obtains the quality characterization information of this photo; Wherein this quality characterization information is for reflecting the quality of this photo;
This Quality estimation module 32, for judging whether this quality characterization information meets preset requirement;
This first reminding module 33, if it is determined that when meeting this preset requirement for this quality characterization information, then presets prompting mode by first and carries out information; If it is determined that when this quality characterization information does not meet this preset requirement, then carry out information by the second predetermined manner.
When the suggestion device 30 of taking pictures of this preferred embodiment uses:
First acquisition module 31 is after obtaining photo by sudden strain of a muscle take mode, obtains quality characterization information; This terminal can be the equipment such as mobile phone, panel computer; Wherein this quality characterization information is for reflecting the quality of this photo; This quality characterization information can also comprise definition and the exposure accuracy of photo; Instruction is clapped in the sudden strain of a muscle that such as acquisition module 31 first receives user's transmission, then takes pictures according to sudden strain of a muscle bat instruction, obtains photo, and this photographing instruction can dodge bat start button for pressing, and start button is for example " volume+and volume-" button.
Afterwards, Quality estimation module 32 judges whether this quality characterization information meets preset requirement; Such as Quality estimation module 32 can judge whether photo exposes accurately;
Afterwards, if Quality estimation module 32 judges that this quality characterization information meets preset requirement, the first reminding module 33 is preset prompting mode by first and is carried out information; Such as the first reminding module 33 can pass through breath light display reminding information, such as, when Quality estimation module 32 judges that this quality characterization information meets preset requirement, and breath light Chang Liang.Certainly, the first reminding module 33 also can be undertaken pointing out this quality characterization information whether to meet preset requirement by sound.
And if Quality estimation module 32 judges that this quality characterization information does not meet preset requirement, the first reminding module 33 carries out information by the second predetermined manner.Such as the first reminding module 33 can pass through breath light display reminding information, and such as, when Quality estimation module 32 judges that this quality characterization information does not meet preset requirement, breath light glimmers.
The suggestion device of taking pictures of the present embodiment, by sudden strain of a muscle bat process, according to the difference of the quality of photo to the different information of user, be convenient to user knows photo quality according to information, thus it is convenient that user is used, improves QoS of customer.
Please refer to Fig. 4, Fig. 4 is the structural representation of the second preferred embodiment of suggestion device of taking pictures of the present invention.The suggestion device 40 of taking pictures of this preferred embodiment comprises acquisition module 41, Quality estimation module 42, first reminding module 43; The basis of the first embodiment also comprises face judge module 44, second reminding module 45, detection module 46, the 3rd reminding module 47; This face judge module 44, for judging whether there is complete facial image in this photo; This second reminding module 45, if it is determined that for there is complete facial image in this photo time, then by the 3rd preset prompting mode carry out information; If it is determined that when there is not complete facial image in this photo, then preset prompting mode by the 4th and carry out information.This detection module 46, claps END instruction for detecting whether to receive to dodge; 3rd reminding module 47, for when detecting that END instruction is clapped in this sudden strain of a muscle, then points out user.
First, face judge module 44 judges whether there is complete facial image in this photo; Such as, when sudden strain of a muscle bat object comprises portrait, then in user's comparison film, the attention rate of face is higher, such as face judge module 44 can judge whether there is complete facial image in this photo by face recognition technology;
Afterwards, if face judge module 44 judges to there is complete facial image in this photo; Second reminding module 45 is preset prompting mode by the 3rd and is carried out information; For example can be pointed out by breath light, when terminal judges to there is complete facial image in this photo, this breath light Chang Liang; Certainly sound can be used to carry out whether there is complete facial image in prompting photo; Preferably, correspondingly can also point out according to the number of the face detected, the face number such as detected is more, and the time of prompting sound sound equipment is longer.
And if face judge module 44 judges there is not complete facial image in this photo, the second reminding module 45 is preset prompting mode by the 4th and is carried out information; For example the second reminding module 45 can be pointed out by breath light, and when the second reminding module 45 judges there is not complete facial image in this photo, this breath light glimmers;
Afterwards, whether this detection module 46 detects to receive to dodge and claps END instruction; Such as press end key of taking pictures;
Finally, such as, if when detection module 46 detects that END instruction is clapped in this sudden strain of a muscle, the 3rd reminding module 47 points out user, and terminal sends the cue of having taken pictures to user, such as when having taken pictures, can pass through vibration mode reminding user.
Preferably, this Quality estimation module 42 specifically for: judge whether this photo exposes accurately; If this photo lithography is accurate, then judge that this quality characterization information meets this preset requirement; If this photo lithography is inaccurate, then judge that this quality characterization information does not meet this preset requirement.
This Quality estimation module 42 judges whether this photo exposes accurately, and such as this Quality estimation module 42 judges whether photo exposes normally, if it is determined that this photo lithography is normal, judges that this quality characterization information meets this preset requirement; If Quality estimation module 42 judges that this photo lithography is abnormal, then show that this quality characterization information does not meet this preset requirement.
Preferably, according to the brightness value of this photo and pixel quantity, this Quality estimation module 42 is specifically for judging that whether this photo lithography is accurate.
As shown in Figure 5, this Quality estimation module 42 specifically comprises:
First acquiring unit 51, being greater than the pixel quantity of predetermined luminance value for obtaining brightness value in this photo, as the first pixel value, and obtaining the total pixel number amount of this photo, as the second pixel value; And obtain the first ratio of this first pixel value and this second pixel value;
First judging unit 52, for judging this first ratio whether in preset range; If when this first ratio is in this preset range, then judge that this photo lithography is accurate; If when this first ratio is not in this preset range, then judge that this photo lithography is inaccurate.
First, first acquiring unit 51 can obtain brightness value in this photo and be greater than the pixel quantity of predetermined luminance value and the total pixel number amount of this photo, this predetermined luminance value is such as average brightness, the such as photo of 0-255 GTG, and predetermined luminance value is 128, particularly, first acquiring unit 51 obtains the pixel quantity that grey decision-making is greater than 128, as the first pixel value, also namely obtains the pixel quantity of high-brightness region, and whole pixel quantity in this photo, as the second pixel value; Then the first acquiring unit 51 calculates the first ratio of this first pixel value and this second pixel value; Such as the first acquiring unit 51 obtains the histogram of photo, obtains the first pixel value and the second pixel value and the first ratio from this histogram; The first ratio such as got is 80%;
Afterwards, the first judging unit 52 judges this first ratio whether in preset range; This preset range sets based on experience value, such as, can be daytime or evening according to the shooting time of photo, arrange different preset range; For example the first judging unit 52 judges this first ratio whether in preset range according to the histogram in the first acquiring unit 51,
If the first judging unit 52 judges that this first ratio is in this preset range, then judge that this photo lithography is accurate; Namely judge that exposure is normal.Such as this preset range is 40%-60%, and the first ratio that the first acquiring unit 51 obtains from histogram is 50%, and visible first ratio is in preset range, and also namely the pixel quantity distribution of high-brightness region and low brightness area is moderate, then show that exposure is good.
If the first judging unit 52 judges that this first ratio is not in this preset range, then judge that this photo lithography is inaccurate; Namely judge that exposure is abnormal.Such as this preset range is 40%-60%, and the first ratio that the first acquiring unit 51 obtains from histogram is 80%, and visible first ratio is not in preset range, and also namely the pixel quantity distribution of high-brightness region too much, then shows overexposure.Such as this preset range is 40%-60%, and the first ratio that the first acquiring unit 51 obtains from histogram is 20%, and visible first ratio is not in preset range, and also namely the pixel quantity distribution of high-brightness region is very few, then show under-exposure.
As shown in Figure 6, this Quality estimation module 42 comprises:
Second acquisition unit 61, being less than the pixel quantity of predetermined luminance value for obtaining brightness value in this photo, as the 3rd pixel value, and obtaining the total pixel number amount of this photo, as the second pixel value; And obtain the second ratio of the 3rd pixel value and this second pixel value;
Second judging unit 62, for judging this second ratio whether in preset range; If when this second ratio is in this preset range, then judge that this photo lithography is accurate; If when this second ratio is not in this preset range, then judge that this photo lithography is inaccurate.
First, second acquisition unit 61 can obtain brightness value in this photo and be less than the pixel quantity of predetermined luminance value and the total pixel number amount of this photo, this predetermined luminance value is such as average brightness, the such as photo of 0-255 GTG, predetermined luminance value is 128, particularly, obtain the pixel quantity that grey decision-making is less than 128, as the 3rd pixel value, also the pixel quantity of low brightness area is namely obtained, and whole pixel quantity in this photo, as the second pixel value, calculate the second ratio of the 3rd pixel value and this second pixel value; Such as the second acquisition module 61 obtains the histogram of photo, from this histogram, obtain the 3rd pixel value and the second pixel value and the second ratio; Such as the second ratio is 80%;
Afterwards, the second judging unit 62 judges this second ratio whether in preset range; This preset range sets based on experience value, such as, can be daytime or evening according to the shooting time of photo, arrange different preset range; For example the second judging unit 62 judges this second ratio whether in preset range according to the histogram that the second acquisition module 61 obtains;
If the second judging unit 62 judges that this second ratio is in this preset range, then judge that this photo lithography is accurate; Namely terminal judges exposure is normal.Such as this preset range is 40%-60%, and the second ratio that the second acquisition module 61 obtains from histogram is 50%, and visible second ratio is in preset range, and also namely the pixel quantity distribution of high-brightness region and low brightness area is moderate, then show that exposure is good.
If the second judging unit 62 judges that this second ratio is not in this preset range, then judge that this photo lithography is inaccurate; Namely terminal judges exposure is abnormal.Such as this preset range is 40%-60%, and the second ratio that the second acquisition module 61 obtains from histogram is 80%, and visible second ratio is not in preset range, and also namely the pixel quantity distribution of low brightness area too much, then shows under-exposure.This preset range is 40%-60%, and the second ratio that the second acquisition module 61 obtains from histogram is 10%, and visible second ratio is not in preset range, and also namely the pixel quantity distribution of low brightness area is very few, then show overexposure.
The reminding method of taking pictures of this preferred embodiment, on the basis of the first embodiment, can judge to dodge in bat process whether get complete face further, and provide different informations according to judged result, thus further facilitate the shooting situation that user knows photo, improve QoS of customer.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is that the hardware that can carry out instruction relevant by program has come, this program can be stored in a computer-readable recording medium, storage medium can comprise: read-only memory (ROM, ReadOnlyMemory), random access memory (RAM, RandomAccessMemory), disk or CD etc.
Take pictures reminding method and device of the one provided the embodiment of the present invention is above described in detail, apply specific case herein to set forth principle of the present invention and execution mode, the explanation of above embodiment just understands method of the present invention and core concept thereof for helping; Meanwhile, for those skilled in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (14)
1. to take pictures a reminding method, it is characterized in that, comprising:
After obtaining photo by sudden strain of a muscle take mode, obtain the quality characterization information of described photo; Wherein said quality characterization information is for reflecting the quality of described photo;
Judge whether described quality characterization information meets preset requirement;
If it is determined that described quality characterization information meets described preset requirement, then preset prompting mode by first and carry out information;
If it is determined that described quality characterization information does not meet described preset requirement, then carry out information by the second predetermined manner.
2. reminding method of taking pictures according to claim 1, is characterized in that, the described step judging whether described quality characterization information meets preset requirement comprises:
Judge whether described photo exposes accurately;
If described photo lithography is accurate, then described quality characterization information meets described preset requirement;
If described photo lithography is inaccurate, then described quality characterization information does not meet described preset requirement.
3. reminding method of taking pictures according to claim 2, is characterized in that, described judge photo lithography whether accurately step comprise:
Judge that whether described photo lithography is accurate according to the brightness value of described photo and pixel quantity.
4. reminding method of taking pictures according to claim 3, is characterized in that,
The described brightness value according to described photo and pixel quantity judge described photo lithography whether accurately step comprise:
Obtain brightness value in described photo and be greater than the pixel quantity of predetermined luminance value, as the first pixel value; And obtain the total pixel number amount of described photo, as the second pixel value; And obtain the first ratio of described first pixel value and described second pixel value;
Judge described first ratio whether in preset range;
If described first ratio is in described preset range, then judge that described photo lithography is accurate;
If described first ratio is not in described preset range, then judge that described photo lithography is inaccurate.
5. reminding method of taking pictures according to claim 3, is characterized in that,
The described brightness value according to described photo and pixel quantity judge described photo lithography whether accurately step comprise:
Obtain brightness value in described photo and be less than the pixel quantity of predetermined luminance value, as the 3rd pixel value; And obtain the total pixel number amount of described photo, as the second pixel value; Obtain the second ratio of described 3rd pixel value and described second pixel value;
Judge described second ratio whether in preset range;
If described second ratio is in described preset range, then judge that described photo lithography is accurate;
If described second ratio is not in described preset range, then judge that described photo lithography is inaccurate.
6. reminding method of taking pictures according to claim 1, is characterized in that, also comprise:
Judge whether there is complete facial image in described photo;
If it is determined that there is complete facial image in described photo, then preset prompting mode by the 3rd and carry out information;
If it is determined that there is not complete facial image in described photo, then preset prompting mode by the 4th and carry out information.
7. reminding method of taking pictures according to claim 1, is characterized in that, also comprise:
Detect whether to receive to dodge and clap END instruction;
When detecting that END instruction is clapped in described sudden strain of a muscle, then point out user.
8. to take pictures a suggestion device, it is characterized in that, comprising:
Acquisition module, for after obtaining photo by sudden strain of a muscle take mode, obtains the quality characterization information of described photo; Wherein said quality characterization information is for reflecting the quality of described photo;
Quality estimation module, for judging whether described quality characterization information meets preset requirement;
First reminding module, if it is determined that when meeting described preset requirement for described quality characterization information, then presets prompting mode by first and carries out information; If it is determined that when described quality characterization information does not meet described preset requirement, then carry out information by the second predetermined manner.
9. suggestion device of taking pictures according to claim 8, is characterized in that, described Quality estimation module specifically for: judge whether described photo exposes accurately; If described photo lithography is accurate, then judge that described quality characterization information meets described preset requirement; If described photo lithography is inaccurate, then judge that described quality characterization information does not meet described preset requirement.
10. suggestion device of taking pictures according to claim 8, is characterized in that,
According to the brightness value of described photo and pixel quantity, described Quality estimation module is specifically for judging that whether described photo lithography is accurate.
11. suggestion devices of taking pictures according to claim 10, is characterized in that,
Described Quality estimation module specifically comprises:
First acquiring unit, is greater than the pixel quantity of predetermined luminance value, as the first pixel value for obtaining brightness value in described photo; And obtain the total pixel number amount of described photo, as the second pixel value; And obtain the first ratio of described first pixel value and described second pixel value;
First judging unit, for judging described first ratio whether in preset range; If when described first ratio is in described preset range, then judge that described photo lithography is accurate; If when described first ratio is not in described preset range, then judge that described photo lithography is inaccurate.
12. suggestion devices of taking pictures according to claim 10, is characterized in that,
Described Quality estimation module comprises:
Second acquisition unit, is less than the pixel quantity of predetermined luminance value, as the 3rd pixel value for obtaining brightness value in described photo; And obtain the total pixel number amount of described photo, as the second pixel value; And obtain the second ratio of described 3rd pixel value and described second pixel value;
Second judging unit, for judging described second ratio whether in preset range; If when described second ratio is in described preset range, then judge that described photo lithography is accurate; If when described second ratio is not in described preset range, then judge that described photo lithography is inaccurate.
13. suggestion devices of taking pictures according to claim 8, is characterized in that, also comprise: face judge module and the second reminding module;
Described face judge module, for judging whether there is complete facial image in described photo;
Described second reminding module, if it is determined that for there is complete facial image in described photo time, then by the 3rd preset prompting mode carry out information; If it is determined that when there is not complete facial image in described photo, then preset prompting mode by the 4th and carry out information.
14. suggestion devices of taking pictures according to claim 8, is characterized in that, also comprise: detection module and the 3rd reminding module;
Described detection module, claps END instruction for detecting whether to receive to dodge;
Described 3rd reminding module, for when detecting that END instruction is clapped in described sudden strain of a muscle, then points out user.
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| CN201510671146.3A CN105227841A (en) | 2015-10-13 | 2015-10-13 | To take pictures reminding method and device |
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| CN201510671146.3A CN105227841A (en) | 2015-10-13 | 2015-10-13 | To take pictures reminding method and device |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018157652A1 (en) * | 2017-02-28 | 2018-09-07 | 维沃移动通信有限公司 | Photographing prompt method and mobile terminal |
| CN109671317A (en) * | 2019-01-30 | 2019-04-23 | 重庆康普达科技有限公司 | Types of facial makeup in Beijing operas interactive teaching method based on AR |
| CN112890727A (en) * | 2021-01-19 | 2021-06-04 | 佛山市顺德区美的洗涤电器制造有限公司 | Light supplementing method and device for light supplementing lamp and dish washing machine |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030151674A1 (en) * | 2002-02-12 | 2003-08-14 | Qian Lin | Method and system for assessing the photo quality of a captured image in a digital still camera |
| CN1984260A (en) * | 2005-12-14 | 2007-06-20 | 凌阳科技股份有限公司 | Method for automatically controlling exposure and device for automatically compensating exposure |
| CN102622741A (en) * | 2011-01-30 | 2012-08-01 | 联想(北京)有限公司 | Method for detecting image file and apparatus thereof |
| CN104780308A (en) * | 2014-01-09 | 2015-07-15 | 联想(北京)有限公司 | Information processing method and electronic device |
| CN104935824A (en) * | 2015-07-30 | 2015-09-23 | 苏州寅初信息科技有限公司 | Method for finding view in time of doing blind shoot and shooting device thereof |
-
2015
- 2015-10-13 CN CN201510671146.3A patent/CN105227841A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030151674A1 (en) * | 2002-02-12 | 2003-08-14 | Qian Lin | Method and system for assessing the photo quality of a captured image in a digital still camera |
| CN1984260A (en) * | 2005-12-14 | 2007-06-20 | 凌阳科技股份有限公司 | Method for automatically controlling exposure and device for automatically compensating exposure |
| CN102622741A (en) * | 2011-01-30 | 2012-08-01 | 联想(北京)有限公司 | Method for detecting image file and apparatus thereof |
| CN104780308A (en) * | 2014-01-09 | 2015-07-15 | 联想(北京)有限公司 | Information processing method and electronic device |
| CN104935824A (en) * | 2015-07-30 | 2015-09-23 | 苏州寅初信息科技有限公司 | Method for finding view in time of doing blind shoot and shooting device thereof |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018157652A1 (en) * | 2017-02-28 | 2018-09-07 | 维沃移动通信有限公司 | Photographing prompt method and mobile terminal |
| CN109671317A (en) * | 2019-01-30 | 2019-04-23 | 重庆康普达科技有限公司 | Types of facial makeup in Beijing operas interactive teaching method based on AR |
| CN109671317B (en) * | 2019-01-30 | 2021-05-25 | 重庆康普达科技有限公司 | AR-based facial makeup interactive teaching method |
| CN112890727A (en) * | 2021-01-19 | 2021-06-04 | 佛山市顺德区美的洗涤电器制造有限公司 | Light supplementing method and device for light supplementing lamp and dish washing machine |
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Application publication date: 20160106 |