CN117492621A - Intelligent photo optimizing processing system for digital cloud photo frame - Google Patents
Intelligent photo optimizing processing system for digital cloud photo frame Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
- G06F3/04845—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
- G06F3/04847—Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
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Abstract
The invention relates to the technical field of cloud computing, and discloses an intelligent photo optimizing processing system of a digital cloud photo frame, which comprises the following steps: the image quality analysis module is used for judging whether the image quality is qualified or not according to the calculated image quality comprehensive index, optimizing and adjusting, and the user interaction module provides a user interface to create an online album.
Description
Technical Field
The invention relates to the technical field of cloud computing, in particular to an intelligent photo optimizing processing system for a digital cloud photo frame.
Background
The development of cloud computing technology provides an infrastructure for an intelligent photo optimizing processing system of a digital cloud photo frame, photos can be stored on a remote server through cloud computing, a user can access and share the photos anytime and anywhere, meanwhile, the powerful computing capacity of the cloud computing also provides support for intelligent optimizing processing of the photos, the digital photo frame adopts the appearance modeling of a traditional photo frame, the middle part of the traditional photo frame is replaced by a liquid crystal display screen, and the digital photo frame is matched with components such as a battery and a storage medium, so that the digital photo can be directly played, meanwhile, different photos can be circularly displayed, and a good photo display platform and a good space are provided for increasingly more digital photos and people favoring photography.
In the industry convergence trend, the development of digital photo frames is gradually expanding new functions from a single photo playback function, and deriving many personalized demand applications, but some defects still exist: comprising the following steps: lack of manual intervention mechanisms: the automatic processing function of the system may lack the participation and intervention of a user, the user may wish to perform personalized adjustment and optimization on the photo according to the aesthetic and demand of the user, but the system cannot provide a flexible user interaction interface and operation mode; photo adjustment is not fine: the traditional intelligent photo optimizing processing system for the digital cloud photo frame is often based on one-key beautification of the photo, lacks of fine processing, adjusts the photo based on different elements, and the adjusted photo meets the requirements of users.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides an intelligent photo optimizing processing system for a digital cloud photo frame, which aims to solve the problems in the prior art.
The invention provides the following technical scheme: a digital cloud photo frame intelligent photo optimizing processing system comprises: the system comprises a picture uploading module, a data extracting module, a data preprocessing module, a weight selecting module, an exposure processing module, a color processing module, a pixel processing module, a picture quality analyzing module and a user interaction module;
the image uploading module is used for uploading the image to the intelligent photo optimizing processing system of the digital cloud photo frame by a user, uploading the image through a mobile phone and a computer device, and transmitting the uploaded image to the data extraction module;
the data extraction module is used for receiving the image transmitted by the image uploading module, extracting characteristic data in the image by utilizing an image processing tool, including exposure parameters, color parameters and pixel parameters, and transmitting the extracted data to the data preprocessing module;
the data preprocessing module is used for receiving the characteristic data in the image extracted by the data extraction module, and preprocessing the data by utilizing a denoising algorithm to obtain preprocessed exposure parameters, color parameters and pixel parameters;
the weight selection module is used for setting weights of exposure parameters, color parameters and pixel parameters according to personal preference by a user, transmitting the set weights to the picture quality analysis module, and using a default weight of the system if the set weights are not set;
the exposure processing module is used for calculating an exposure effect coefficient through an exposure processing mathematical model based on the exposure parameters preprocessed by the data preprocessing module and transmitting the calculated exposure effect coefficient to the picture quality analysis module;
the color processing module is used for calculating a color balance coefficient through a color balance calculation model based on the color parameters preprocessed by the data preprocessing module, and transmitting the calculated color balance coefficient to the picture quality analysis module;
the pixel processing module is used for calculating a pixel presentation coefficient through a pixel analysis mathematical model based on the pixel parameters preprocessed by the data preprocessing module, and transmitting the calculated pixel presentation coefficient to the picture quality analysis module;
the picture quality analysis module calculates and obtains a picture quality comprehensive index based on the exposure effect coefficient, the color balance coefficient and the pixel presentation coefficient, judges whether the picture quality is qualified according to the picture quality comprehensive index, processes and optimizes unqualified pictures, and transmits the qualified pictures to the user interaction module;
and the user interaction module is used for receiving the picture with qualified picture quality transmitted by the picture quality analysis module, providing a user interface, creating an online album and compressing and storing the picture.
Preferably, the user in the picture uploading module uploads the own photo file through the module to support multiple formats, after uploading the photo, the user checks the original state of the photo in the preview window, and adjusts the optimizing processing parameters of the photo according to the preference and the requirement of the user.
Preferably, the exposure parameters extracted in the data extraction module include image brightness, image sensitivity and exposure constant, the color parameters include an overall color value of the image, a maximum color value and a minimum color value of the image after segmentation, and the pixel parameters include rows and columns of image pixel values arranged in a matrix and corresponding values thereof.
Preferably, a calculation formula of the denoising algorithm in the data preprocessing module is as follows:wherein->Representing the output data denoised by the denoising model,representing input data +.>Representing the length of the input data.
Preferably, the calculation formula of the exposure effect coefficient calculated in the exposure processing module is as follows:wherein->Representing the exposure effect coefficient, +.>Representing picture brightness +.>Representing the sensitivity of the picture>The exposure constant of the picture is shown.
Preferably, the color balance coefficient calculated in the color processing module is calculated as follows:
step S01: determining a color value threshold: extracting the whole color value x of the picture by using a picture processing tool, and dividing the picture to determine the maximum color valueAnd color minimum->；
Step S02: calculating a color balance coefficient, wherein the calculation formula is as follows:wherein->Representing the color balance coefficient, +.>Representing the overall color value of a picture,/->Represents the maximum value of the color>Representing the color minimum.
Preferably, the pixel rendering coefficients calculated in the pixel processing module are calculated as follows:
step S01: arranging image pixel values into oneMatrix of size>Values representing j rows and k columns;
step S02: calculating row pixel coefficients, wherein the calculation formula is as follows:whereinRepresenting the line pixel coefficients,/->Values representing j rows and k columns, +.>Representing the total number of rows of the matrix, ">Representing the total number of columns of the matrix;
step S03: calculating column pixel coefficients, wherein the calculation formula is as follows:whereinRepresenting column pixel coefficients,/->Values representing j rows and k columns, +.>Representing the total number of rows of the matrix, ">Representing the total number of columns of the matrix;
step S04: calculating a pixel rendering coefficient, wherein the calculation formula is as follows:wherein->Representing pixel rendering coefficients, +.>Representing the line pixel coefficients,/->Representing column pixel coefficients.
Preferably, a calculation formula of the picture quality comprehensive index in the picture quality analysis module is as follows:wherein->Representing the picture quality combination index->Representing the exposure effect coefficient, +.>Representing the color balance coefficient, +.>Representing pixel rendering coefficients, +.>、/>And->Representing weights set by exposure parameters, color parameters and pixel parameters, and integrating the picture quality index +.>With a preset picture quality threshold +.>For comparison, ifPicture quality comprehensive index->Is greater than a preset picture quality threshold +.>The picture quality is qualified, if the picture quality comprehensive index +.>Less than or equal to a preset picture quality threshold +.>And the picture quality is unqualified, the system automatically optimizes the unqualified picture, and the optimized picture returns to the picture uploading module to start the circular calculation until the picture quality is qualified.
Preferably, the user interaction module receives the picture with qualified picture quality, creates the album and automatically stores the optimized picture, and the user binds the album account association to share the album to friends, family or other contacts on social media in real time.
The invention has the technical effects and advantages that:
the invention comprises a picture uploading module, a data extracting module, a data preprocessing module, a weight selecting module, an exposure processing module, a color processing module, a pixel processing module, a picture quality analyzing module and a user interaction module, wherein the picture uploading module is used for uploading pictures, the data extracting module is used for extracting characteristic data in images, the data preprocessing module is used for preprocessing data by using a denoising algorithm, the weight selecting module is used for setting the weight of parameters, the exposure processing module is used for calculating an exposure effect coefficient, the color processing module is used for calculating a color balance coefficient, the pixel processing module is used for calculating a pixel presentation coefficient, the picture quality analyzing module is used for judging whether the picture quality is qualified or not according to the calculated picture quality comprehensive index and carrying out optimization adjustment, and the user interaction module is used for providing a user interface to create an online photo album.
Drawings
FIG. 1 is a flow chart of a digital cloud photo frame intelligent photo optimization processing system.
Detailed Description
The following description will be made in detail, but not limited to, examples of the configuration of the present invention, and the configuration of the present invention described in the following embodiments is merely illustrative, and all other embodiments obtained by a person skilled in the art without making any creative effort are within the scope of the present invention.
The invention provides an intelligent photo optimizing processing system for a digital cloud photo frame, which comprises a photo uploading module, a data extracting module, a data preprocessing module, a weight selecting module, an exposure processing module, a color processing module, a pixel processing module, a photo quality analyzing module and a user interaction module;
the image uploading module is used for uploading the image to the intelligent photo optimizing processing system of the digital cloud photo frame by a user, uploading the image through a mobile phone and a computer device, and transmitting the uploaded image to the data extraction module;
the data extraction module is used for receiving the image transmitted by the image uploading module, extracting characteristic data in the image by utilizing an image processing tool, including exposure parameters, color parameters and pixel parameters, and transmitting the extracted data to the data preprocessing module;
the data preprocessing module is used for receiving the characteristic data in the image extracted by the data extraction module, and preprocessing the data by utilizing a denoising algorithm to obtain preprocessed exposure parameters, color parameters and pixel parameters;
the weight selection module is used for setting weights of exposure parameters, color parameters and pixel parameters according to personal preference by a user, transmitting the set weights to the picture quality analysis module, and using a default weight of the system if the set weights are not set;
the exposure processing module is used for calculating an exposure effect coefficient through an exposure processing mathematical model based on the exposure parameters preprocessed by the data preprocessing module and transmitting the calculated exposure effect coefficient to the picture quality analysis module;
the color processing module is used for calculating a color balance coefficient through a color balance calculation model based on the color parameters preprocessed by the data preprocessing module, and transmitting the calculated color balance coefficient to the picture quality analysis module;
the pixel processing module is used for calculating a pixel presentation coefficient through a pixel analysis mathematical model based on the pixel parameters preprocessed by the data preprocessing module, and transmitting the calculated pixel presentation coefficient to the picture quality analysis module;
the picture quality analysis module calculates and obtains a picture quality comprehensive index based on the exposure effect coefficient, the color balance coefficient and the pixel presentation coefficient, judges whether the picture quality is qualified according to the picture quality comprehensive index, processes and optimizes unqualified pictures, and transmits the qualified pictures to the user interaction module;
and the user interaction module is used for receiving the picture with qualified picture quality transmitted by the picture quality analysis module, providing a user interface, creating an online album and compressing and storing the picture.
In this embodiment, it needs to be specifically explained that, in the picture uploading module, a user uploads a photo file of the user through the module, so as to support multiple formats, after uploading a photo, the user checks an original state of the photo in a preview window, and adjusts an optimization processing parameter of the photo according to own preference and requirement.
In this embodiment, it should be specifically described that, the exposure parameters extracted by the data extraction module include a picture brightness, a picture sensitivity and an exposure constant, the color parameters include a picture overall color value, a segmented picture color maximum value and a color minimum value, and the pixel parameters include rows and columns of image pixel values arranged in a matrix and corresponding values thereof.
In this embodiment, it should be specifically described that a calculation formula of the denoising algorithm in the data preprocessing module is:wherein->Representing the output data denoised by the denoising model,representing input data +.>Representing the length of the input data.
In this embodiment, it should be specifically described that the calculation formula of the exposure effect coefficient calculated in the exposure processing module is:wherein->Representing the exposure effect coefficient, +.>Representing picture brightness +.>Representing the sensitivity of the picture>The exposure constant of the picture is shown.
In this embodiment, it should be specifically described that the color balance coefficient calculated in the color processing module is calculated as follows:
step S01: determining a color value threshold: extracting the whole color value x of the picture by using a picture processing tool, and dividing the picture to determine the maximum color valueAnd color minimum->；
Step S02: calculating a color balance coefficient, wherein the calculation formula is as follows:wherein->Representing the color balance coefficient, +.>Representing the overall color value of a picture,/->Represents the maximum value of the color>Representing the color minimum.
In this embodiment, it should be specifically described that the pixel rendering coefficients calculated in the pixel processing module are calculated as follows:
step S01: arranging image pixel values into oneMatrix of size>Values representing j rows and k columns;
step S02: calculating row pixel coefficients, wherein the calculation formula is as follows:whereinRepresenting the line pixel coefficients,/->Values representing j rows and k columns, +.>Representing the total number of rows of the matrix, ">Representing the total number of columns of the matrix;
step S03: calculating column pixel coefficients, wherein the calculation formula is as follows:whereinRepresenting column pixel coefficients,/->Values representing j rows and k columns, +.>Representing the total number of rows of the matrix, ">Representing the total number of columns of the matrix;
step S04: calculating a pixel rendering coefficient, wherein the calculation formula is as follows:wherein->Representing pixel rendering coefficients, +.>Representing the line pixel coefficients,/->Representing column pixel coefficients.
In this embodiment, it should be specifically described that a calculation formula of the picture quality comprehensive index in the picture quality analysis module is:wherein->Representing the picture quality combination index->Representing the exposure effect coefficient, +.>Representing the color balance coefficient, +.>Representing pixel rendering coefficients, +.>、/>And->Representing weights set by exposure parameters, color parameters and pixel parameters, and integrating the picture quality index +.>With a preset picture quality threshold +.>For comparison, if the picture quality comprehensive index +.>Is greater than a preset picture quality threshold +.>The picture quality is qualified, if the picture quality comprehensive indexLess than or equal to a preset picture quality threshold +.>And the picture quality is unqualified, the system automatically optimizes the unqualified picture, and the optimized picture returns to the picture uploading module to start the circular calculation until the picture quality is qualified.
In this embodiment, it needs to be specifically explained that the user interaction module receives the picture with qualified picture quality, creates the album and automatically stores the optimized picture, and the user binds the album account to share the album to friends, family or other contacts on social media in real time.
In this embodiment, it needs to be specifically explained that, the difference between the implementation and the prior art is mainly that the implementation is provided with a picture uploading module, a data extracting module, a data preprocessing module, a weight selecting module, an exposure processing module, a color processing module, a pixel processing module, a picture quality analyzing module and a user interaction module, wherein the picture uploading module is used for uploading pictures, the data extracting module extracts characteristic data in images, the data preprocessing module preprocesses the data by using a denoising algorithm, the weight selecting module is used for setting the weight of parameters, the exposure processing module calculates to obtain an exposure effect coefficient, the color processing module calculates to obtain a color balance coefficient, the pixel processing module calculates to obtain a pixel presentation coefficient, the picture quality analyzing module judges whether the picture quality is qualified and performs optimization adjustment according to the calculated picture quality comprehensive index, the user interaction module provides a user interface, and in a whole, the intelligent photo optimizing processing system for a digital cloud photo frame can automatically recognize the photo and perform optimization processing according to the parameters and the weight ratio set by user preference adjustment, and can also automatically recognize the photo and judge whether the photo quality is qualified or not, so that the photo management is more convenient and efficient.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. A digital cloud photo frame intelligent photo optimizing processing system is characterized in that: comprising the following steps: the system comprises a picture uploading module, a data extracting module, a data preprocessing module, a weight selecting module, an exposure processing module, a color processing module, a pixel processing module, a picture quality analyzing module and a user interaction module;
the image uploading module is used for uploading the image to the intelligent photo optimizing processing system of the digital cloud photo frame by a user, uploading the image through a mobile phone and a computer device, and transmitting the uploaded image to the data extraction module;
the data extraction module is used for receiving the image transmitted by the image uploading module, extracting characteristic data in the image by utilizing an image processing tool, including exposure parameters, color parameters and pixel parameters, and transmitting the extracted data to the data preprocessing module;
the data preprocessing module is used for receiving the characteristic data in the image extracted by the data extraction module, and preprocessing the data by utilizing a denoising algorithm to obtain preprocessed exposure parameters, color parameters and pixel parameters;
the weight selection module is used for setting weights of exposure parameters, color parameters and pixel parameters according to personal preference by a user, transmitting the set weights to the picture quality analysis module, and using a default weight of the system if the set weights are not set;
the exposure processing module is used for calculating an exposure effect coefficient through an exposure processing mathematical model based on the exposure parameters preprocessed by the data preprocessing module and transmitting the calculated exposure effect coefficient to the picture quality analysis module;
the color processing module is used for calculating a color balance coefficient through a color balance calculation model based on the color parameters preprocessed by the data preprocessing module, and transmitting the calculated color balance coefficient to the picture quality analysis module;
the pixel processing module is used for calculating a pixel presentation coefficient through a pixel analysis mathematical model based on the pixel parameters preprocessed by the data preprocessing module, and transmitting the calculated pixel presentation coefficient to the picture quality analysis module;
the picture quality analysis module calculates and obtains a picture quality comprehensive index based on the exposure effect coefficient, the color balance coefficient and the pixel presentation coefficient, judges whether the picture quality is qualified according to the picture quality comprehensive index, processes and optimizes unqualified pictures, and transmits the qualified pictures to the user interaction module;
and the user interaction module is used for receiving the picture with qualified picture quality transmitted by the picture quality analysis module, providing a user interface, creating an online album and compressing and storing the picture.
2. The digital cloud photo frame intelligent photo optimization processing system according to claim 1, wherein: and the user in the picture uploading module uploads the picture file of the user through the picture uploading module to support various formats, and after uploading the picture, the user checks the original state of the picture in the preview window and adjusts the optimizing processing parameters of the picture according to the preference and the requirement of the user.
3. The digital cloud photo frame intelligent photo optimization processing system according to claim 1, wherein: the exposure parameters extracted by the data extraction module comprise picture brightness, picture sensitivity and exposure constant, the color parameters comprise picture overall color values, segmented picture color maximum values and color minimum values, and the pixel parameters comprise rows and columns of image pixel values which are arranged according to a matrix and corresponding values.
4. The digital cloud photo frame intelligent photo optimization processing system according to claim 1, wherein: the calculation formula of the denoising algorithm in the data preprocessing module is as follows:whereinRepresenting the denoised output data of the denoised model,/I->Representing input data +.>Representing the length of the input data.
5. The digital cloud photo frame intelligent photo optimization processing system according to claim 1, wherein: the calculation formula of the exposure effect coefficient calculated in the exposure processing module is as follows:wherein->Representing the exposure effect coefficient, +.>Representing picture brightness +.>Representing the sensitivity of the picture>The exposure constant of the picture is shown.
6. The digital cloud photo frame intelligent photo optimization processing system according to claim 1, wherein: the color balance coefficient calculated in the color processing module is calculated as follows:
step S01: determining a color value threshold: extracting the whole color value x of the picture by using a picture processing tool, and dividing the picture to determine the maximum color valueAnd color minimum->；
Step S02: calculating a color balance coefficient, wherein the calculation formula is as follows:wherein->Representing the color balance coefficient, +.>Representing the overall color value of a picture,/->Represents the maximum value of the color>Representing the color minimum.
7. The digital cloud photo frame intelligent photo optimization processing system according to claim 1, wherein: the pixel presentation coefficients calculated in the pixel processing module are calculated as follows:
step S01: arranging image pixel values into oneMatrix of size>Values representing j rows and k columns;
step S02: calculating row pixel coefficients, wherein the calculation formula is as follows:wherein->Representing the line pixel coefficients,/->Values representing j rows and k columns, +.>Representing the total number of rows of the matrix, ">Representing the total number of columns of the matrix;
step S03: calculating column pixel coefficients, wherein the calculation formula is as follows:wherein->Representing column pixel coefficients,/->Values representing j rows and k columns, +.>Representing the total number of rows of the matrix, ">Representing the total number of columns of the matrix;
step S04: calculating a pixel rendering coefficient, wherein the calculation formula is as follows:wherein->Representing pixel rendering coefficients, +.>Representing the line pixel coefficients,/->Representation columnPixel coefficients.
8. The digital cloud photo frame intelligent photo optimization processing system according to claim 1, wherein: the calculation formula of the picture quality comprehensive index in the picture quality analysis module is as follows:wherein->Representing the picture quality combination index->Representing the exposure effect coefficient, +.>Representing the color balance coefficient, +.>Representing pixel rendering coefficients, +.>、/>And->Representing weights set by exposure parameters, color parameters and pixel parameters, and integrating the picture quality index +.>With a preset picture quality threshold +.>For comparison, if the picture quality comprehensive index +.>Is greater than a preset picture quality threshold +.>The picture quality is qualified, if the picture quality comprehensive index +.>Less than or equal to a preset picture quality threshold +.>And the picture quality is unqualified, the system automatically optimizes the unqualified picture, and the optimized picture returns to the picture uploading module to start the circular calculation until the picture quality is qualified.
9. The digital cloud photo frame intelligent photo optimization processing system according to claim 1, wherein: and the user interaction module receives the picture with qualified picture quality, creates an album and automatically stores the optimized picture, and the user binds the album account association to share the album to friends, family or other contacts on social media in real time.
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