CN103595898A - Intelligent filter processing method based on image information - Google Patents
Intelligent filter processing method based on image information Download PDFInfo
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- CN103595898A CN103595898A CN201310562039.8A CN201310562039A CN103595898A CN 103595898 A CN103595898 A CN 103595898A CN 201310562039 A CN201310562039 A CN 201310562039A CN 103595898 A CN103595898 A CN 103595898A
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Abstract
The invention discloses an intelligent filter processing method based on image information. According to the intelligent filter processing method based on the image information, information is extracted from an original image, information matching is carried out between the information of the original image and a selected filter, appropriate parameters of the filter are determined according to the information matching result, and finally filter processing is carried out on the original image according to the parameters of the filter to obtain a result image. Therefore, operation is more convenient and time is saved when the user carries out filter processing on the image, and the intelligent filter processing method based on the image information is suitable for filter processing of all images, is not limited by a certain type of images, and is stronger in universality.
Description
Technical field
The present invention relates to a kind of image processing method, particularly a kind of smart filter processing method based on image information.
Background technology
Current, filter is processed a kind of conventional means that has become image landscaping treatment, but existing filter is mainly to process for the image of a certain type, cannot carry out adaptive filter processing to all images, need user can obtain a satisfied effect in conjunction with the transparency of original image is for further adjustments, there is certain limitation.Although some existing software can openly be adjusted related parameter to user, this is to be generally difficult to adjust an applicable effect for domestic consumer, and has caused very large trouble to user.
Summary of the invention
The present invention is for addressing the above problem, and a kind of smart filter processing method of simple to operate, highly versatile is provided, and its filter that is not only automatically applicable to all images is processed, and can be user and save the plenty of time.
For achieving the above object, the technical solution used in the present invention is:
A smart filter processing method for image information, is characterized in that, comprises the following steps:
10. receive original image;
20. pairs of original images carry out information extraction;
30. choose filter, and original image information and selected filter are carried out to information matches;
40. determine suitable filter params according to information matches result, and according to described filter params, original image are carried out to filter processing, obtain result images.
As a kind of preferred embodiment, in described step 20, original image is carried out to information extraction, this information comprises: one or more information in the average colour of skin of the average color of image, mean flow rate, average staturation, average chrominance and people's face.
As a kind of preferred embodiment, in described step 30, original image information and selected filter are carried out to information matches, if selected filter relates to adjustment image brightness, according to the mean flow rate of original image, determine the brightness value of required adjustment.
As a kind of preferred embodiment, when the mean flow rate of described original image is greater than preset value, when processing, automatically reduces filter this image brightness to suitable brightness value.
As a kind of preferred embodiment, in described step 30, original image information and selected filter are carried out to information matches, if selected filter relates to adjustment color of image, according to the average color of original image, determine the color value of required adjustment.
As a kind of preferred embodiment, in described step 30, original image information and selected filter are carried out to information matches, if selected filter relates to adjustment image saturation, according to the average staturation of original image, determine the saturation of required adjustment.
As a kind of preferred embodiment, when the average staturation of described original image is greater than default saturation, when processing, reduces filter saturation to suitable saturation; When the average staturation of described original image is less than default saturation, when processing, improves filter saturation to suitable saturation.
As a kind of preferred embodiment, in described step 30, original image information and selected filter are carried out to information matches, if selected filter relates to adjustment face complexion, detect and whether recognize people's face; If recognize the average colour of skin that people's face further calculates people's face, and according to this average colour of skin, determine the skin tone value of required adjustment.
The invention has the beneficial effects as follows:
A kind of smart filter processing method based on image information of the present invention, it is by carrying out information extraction to original image, and original image information and selected filter are carried out to information matches, according to information matches result, determine suitable filter params again, finally according to described filter params, original image is carried out to filter processing, obtain result images; Thereby make user to image, carry out filter more convenient operation while processing, save time, and the filter that is applicable to all images processes, and be not limited to a certain class image, versatility is stronger.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, forms a part of the present invention, and schematic description and description of the present invention is used for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the general flow chart of a kind of smart filter processing method based on image information of the present invention.
Embodiment
In order to make technical problem to be solved by this invention, technical scheme and beneficial effect clearer, clear, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
As shown in Figure 1, a kind of smart filter processing method based on image information of the present invention, comprises the following steps:
10. receive original image;
20. pairs of original images carry out information extraction;
30. choose filter, and original image information and selected filter are carried out to information matches;
40. determine suitable filter params according to information matches result, and according to described filter params, original image are carried out to filter processing, obtain result images.
Wherein, in described step 20, original image is carried out to information extraction, this information includes but not limited to following aspect: one or more information in the average colour of skin of the average color of image, mean flow rate, average staturation, average chrominance and people's face.
In described step 30, original image information and selected filter are carried out to information matches, its matched rule is as follows:
If selected filter relates to adjustment image brightness, according to the mean flow rate of original image, determine the brightness value of required adjustment; For example, when the mean flow rate of described original image is greater than preset value, when processing, automatically reduces filter this image brightness to suitable brightness value.
If selected filter relates to adjustment color of image, according to the average color of original image, determine that the color value of required adjustment makes it be partial to required tone.
If selected filter relates to adjustment image saturation, according to the average staturation of original image, determine the saturation of required adjustment; For example, when the average staturation of described original image is greater than default saturation, when processing, reduces filter saturation to suitable saturation; When the average staturation of described original image is less than default saturation, when processing, improves filter saturation to suitable saturation.
If selected filter relates to adjustment face complexion, detect and whether recognize people's face; If recognize the average colour of skin that people's face further calculates people's face, and according to this average colour of skin, determine the skin tone value of required adjustment; For example the applicable colour of skin of the average colour of skin and selected filter is weighed, if the average colour of skin is less than the applicable colour of skin, according to this average colour of skin, adjusted, make it reach the applicable colour of skin.
By above method, original image is automatically carried out filter processing and obtains result images, make user to image, carry out filter more convenient operation while processing, save time, and the filter that is applicable to all images is processed, and is not limited to a certain class image, and versatility is stronger.
Above-mentioned explanation illustrates and has described the preferred embodiments of the present invention, as front, be to be understood that the present invention is not limited to disclosed form herein, should not regard the eliminating to other embodiment as, and can be used for various other combinations, modification and environment, and can, in invention contemplated scope herein, by technology or the knowledge of above-mentioned instruction or association area, change.And the change that those skilled in the art carry out and variation do not depart from the spirit and scope of the present invention, all should be in the protection range of claims of the present invention.
Claims (8)
1. the smart filter processing method based on image information, is characterized in that, comprises the following steps:
10. receive original image;
20. pairs of original images carry out information extraction;
30. choose filter, and original image information and selected filter are carried out to information matches;
40. determine suitable filter params according to information matches result, and according to described filter params, original image are carried out to filter processing, obtain result images.
2. a kind of smart filter processing method based on image information according to claim 1, it is characterized in that: in described step 20, original image is carried out to information extraction, this information comprises: one or more information in the average colour of skin of the average color of image, mean flow rate, average staturation, average chrominance and people's face.
3. a kind of smart filter processing method based on image information according to claim 2, it is characterized in that: in described step 30, original image information and selected filter are carried out to information matches, if selected filter relates to adjustment image brightness, according to the mean flow rate of original image, determine the brightness value of required adjustment.
4. a kind of smart filter processing method based on image information according to claim 3, is characterized in that: when the mean flow rate of described original image is greater than preset value, automatically reduce this image brightness to suitable brightness value when filter is processed.
5. a kind of smart filter processing method based on image information according to claim 2, it is characterized in that: in described step 30, original image information and selected filter are carried out to information matches, if selected filter relates to adjustment color of image, according to the average color of original image, determine the color value of required adjustment.
6. a kind of smart filter processing method based on image information according to claim 2, it is characterized in that: in described step 30, original image information and selected filter are carried out to information matches, if selected filter relates to adjustment image saturation, according to the average staturation of original image, determine the saturation of required adjustment.
7. a kind of smart filter processing method based on image information according to claim 6, is characterized in that: when the average staturation of described original image is greater than default saturation, when filter is processed, reduce saturation to suitable saturation; When the average staturation of described original image is less than default saturation, when processing, improves filter saturation to suitable saturation.
8. a kind of smart filter processing method based on image information according to claim 2, it is characterized in that: in described step 30, original image information and selected filter are carried out to information matches, if selected filter relates to adjustment face complexion, detect and whether recognize people's face; If recognize the average colour of skin that people's face further calculates people's face, and according to this average colour of skin, determine the skin tone value of required adjustment.
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| CN103927372A (en) * | 2014-04-24 | 2014-07-16 | 厦门美图之家科技有限公司 | Image processing method based on user semanteme |
| CN104918044A (en) * | 2014-03-14 | 2015-09-16 | 腾讯科技（深圳）有限公司 | Image processing method and device |
| CN105224177A (en) * | 2015-09-30 | 2016-01-06 | 努比亚技术有限公司 | A kind of mobile terminal and application icon redraw method |
| CN105279487A (en) * | 2015-10-15 | 2016-01-27 | 广东欧珀移动通信有限公司 | Beauty tool screening method and system |
| CN105279161A (en) * | 2014-06-10 | 2016-01-27 | 腾讯科技（深圳）有限公司 | Filter sequencing method and filter sequencing device for picture processing application |
| CN105357449A (en) * | 2015-11-26 | 2016-02-24 | 小米科技有限责任公司 | Shooting method and device, and image processing method and apparatus |
| WO2016173423A1 (en) * | 2015-04-28 | 2016-11-03 | 腾讯科技（深圳）有限公司 | Image processing method, apparatus and device, and computer storage medium |
| CN106201243A (en) * | 2016-06-27 | 2016-12-07 | 北京金山安全软件有限公司 | Filter selection method and device and electronic equipment |
| CN106375747A (en) * | 2016-08-31 | 2017-02-01 | 广州市百果园网络科技有限公司 | Image processing method and device |
| CN107633480A (en) * | 2017-09-14 | 2018-01-26 | 光锐恒宇（北京）科技有限公司 | A kind of image processing method and device |
| CN109068056A (en) * | 2018-08-17 | 2018-12-21 | Oppo广东移动通信有限公司 | A kind of electronic equipment and its filter processing method of shooting image, storage medium |
| CN109646950A (en) * | 2018-11-20 | 2019-04-19 | 苏州紫焰网络科技有限公司 | One kind being applied to image processing method, device and terminal in scene of game |
| CN110719407A (en) * | 2019-10-18 | 2020-01-21 | 北京字节跳动网络技术有限公司 | Picture beautifying method, device, equipment and storage medium |
| CN111246102A (en) * | 2020-01-22 | 2020-06-05 | 维沃移动通信有限公司 | Shooting method, shooting device, electronic equipment and storage medium |
| CN112367399A (en) * | 2020-11-10 | 2021-02-12 | 网易（杭州）网络有限公司 | Filter effect generation method and device, electronic device and storage medium |
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| CN106161990A (en) * | 2015-04-28 | 2016-11-23 | 腾讯科技（北京）有限公司 | A kind of image processing method and device |
| CN106161990B (en) * | 2015-04-28 | 2019-11-12 | 腾讯科技（北京）有限公司 | A kind of image processing method and device |
| CN105224177A (en) * | 2015-09-30 | 2016-01-06 | 努比亚技术有限公司 | A kind of mobile terminal and application icon redraw method |
| CN105224177B (en) * | 2015-09-30 | 2019-03-01 | 努比亚技术有限公司 | A kind of mobile terminal and application icon redraw method |
| CN105279487B (en) * | 2015-10-15 | 2022-03-15 | Oppo广东移动通信有限公司 | Method and system for screening beauty tools |
| CN105279487A (en) * | 2015-10-15 | 2016-01-27 | 广东欧珀移动通信有限公司 | Beauty tool screening method and system |
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| CN106201243A (en) * | 2016-06-27 | 2016-12-07 | 北京金山安全软件有限公司 | Filter selection method and device and electronic equipment |
| CN106375747A (en) * | 2016-08-31 | 2017-02-01 | 广州市百果园网络科技有限公司 | Image processing method and device |
| CN106375747B (en) * | 2016-08-31 | 2018-11-23 | 广州市百果园网络科技有限公司 | A kind of image processing method and equipment |
| CN107633480A (en) * | 2017-09-14 | 2018-01-26 | 光锐恒宇（北京）科技有限公司 | A kind of image processing method and device |
| CN109068056A (en) * | 2018-08-17 | 2018-12-21 | Oppo广东移动通信有限公司 | A kind of electronic equipment and its filter processing method of shooting image, storage medium |
| CN109646950A (en) * | 2018-11-20 | 2019-04-19 | 苏州紫焰网络科技有限公司 | One kind being applied to image processing method, device and terminal in scene of game |
| CN110719407A (en) * | 2019-10-18 | 2020-01-21 | 北京字节跳动网络技术有限公司 | Picture beautifying method, device, equipment and storage medium |
| CN111246102A (en) * | 2020-01-22 | 2020-06-05 | 维沃移动通信有限公司 | Shooting method, shooting device, electronic equipment and storage medium |
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| CN112367399B (en) * | 2020-11-10 | 2022-06-14 | 网易（杭州）网络有限公司 | Filter effect generation method and device, electronic device and storage medium |
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Application publication date: 20140219 |