CN113949785A

CN113949785A - Image processing operation processing method and device, electronic equipment and medium

Info

Publication number: CN113949785A
Application number: CN202010686451.0A
Authority: CN
Inventors: 蔡官明
Original assignee: Beijing ByteDance Network Technology Co Ltd
Current assignee: Beijing ByteDance Network Technology Co Ltd
Priority date: 2020-07-16
Filing date: 2020-07-16
Publication date: 2022-01-18
Anticipated expiration: 2040-07-16
Also published as: CN113949785B

Abstract

The embodiment of the disclosure provides a processing method and device for image processing operation, electronic equipment and a medium. The method comprises the following steps: continuously detecting each image processing operation performed based on the target image; acquiring operation information corresponding to the currently detected image processing operation; generating log information containing the operation information, and storing the log information into the first storage area. The embodiment of the disclosure improves the fluency of the image processing application program, ensures that the operation information of each image processing operation is not lost, and improves the user experience.

Description

Image processing operation processing method and device, electronic equipment and medium

Technical Field

The present disclosure relates to the field of image processing technologies, and in particular, to a method and an apparatus for processing an image processing operation, an electronic device, and a medium.

Background

With the continuous development of computer technology, the variety of image processing is increasing, and the time required by a user to perform image processing may also increase. In practical applications, the image processing operation performed on one image may be time-span, that is, a user may open an image processing application many times and perform repeated image processing operations on one image, and therefore, the image processing application usually saves an image obtained after each image processing operation.

At present, images obtained after image processing operations can be stored in a file or a database in two ways. One is a synchronous saving mode, that is, each time the image processing operation is completed, the obtained image is synchronously saved in a file or a database, however, the speed of saving the image in the file or the database is slow, and the application program is easy to be jammed; the other is asynchronous storage, that is, an image obtained by each image processing operation is stored in a file or a database in an asynchronous storage manner, however, when an application program crashes, the image obtained by a part of the image processing operation is easily lost in the asynchronous storage manner.

In summary, the way of storing the image obtained after the image processing operation in the file or the database may reduce the fluency of the image processing application program, and may lose the image obtained by the image processing operation, resulting in poor user experience.

Disclosure of Invention

The present disclosure provides a processing method, an apparatus, an electronic device, and a medium for image processing operation, which improve fluency of image processing application programs and reduce possibility of image loss.

In a first aspect, a method for processing an image processing operation is provided, the method comprising:

continuously detecting each image processing operation performed based on the target image;

acquiring operation information corresponding to the currently detected image processing operation;

generating log information containing the operation information, and storing the log information into the first storage area.

In a second aspect, there is provided an apparatus for processing image processing operations, the apparatus comprising:

the detection module is used for continuously detecting each image processing operation based on the target image;

the acquisition module is used for acquiring operation information corresponding to the currently detected image processing operation;

and the generation and storage module is used for generating log information containing the operation information and storing the log information into the first storage area.

In a third aspect, an electronic device is provided, which includes:

one or more processors;

a memory;

one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: the operation corresponding to the processing method according to the image processing operation shown in the first aspect is executed.

In a fourth aspect, there is provided a computer-readable medium on which a computer program is stored, which program, when executed by a processor, implements the processing method of the image processing operation shown in the first aspect.

The technical scheme provided by the disclosure has the following beneficial effects:

the present disclosure provides a processing method, an apparatus, an electronic device and a medium for image processing operations, which continuously monitor each image processing operation performed based on a target image, acquire operation information corresponding to the image processing operation for the currently detected image processing operation, achieve the purpose of acquiring the operation information in real time, then generate log information including the operation information in real time, and store the log information in a first storage area, because the log information including the operation information is stored, the log information is text information, compared with an image, the storage speed of the text information is faster, the smoothness of an image processing application program can be improved, and because the operation information is acquired in real time, the log information including the operation information is generated and stored in real time, the operation information of each image processing operation can be guaranteed not to be lost, the image obtained by each image processing operation is not lost, and the user experience is improved.

Drawings

The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.

Fig. 1 is a schematic flowchart of a processing method of an image processing operation according to an embodiment of the present disclosure;

fig. 2 is a schematic diagram illustrating generation of log information according to an embodiment of the disclosure;

fig. 3 is a schematic diagram of extracting operation information from log information according to an embodiment of the present disclosure;

FIG. 4 is a schematic diagram of operation information provided by an embodiment of the present disclosure;

fig. 5 is a schematic structural diagram of a processing apparatus for image processing operation according to an embodiment of the present disclosure;

fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.

It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.

The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.

It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing the devices, modules or units, and are not used for limiting the devices, modules or units to be different devices, modules or units, and also for limiting the sequence or interdependence relationship of the functions executed by the devices, modules or units.

It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.

The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.

The following describes the technical solutions of the present disclosure and how to solve the above technical problems in specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present disclosure will be described below with reference to the accompanying drawings.

The embodiment of the present disclosure provides a processing method of an image processing operation, which may be executed by any electronic device, for example, the electronic device may be a terminal device, such as a computer, a smart phone, an ipad, and the like, as shown in fig. 1, the method includes step S101, step S102, and step S103.

In step S101, each image processing operation performed based on the target image is continuously detected.

In the embodiment of the present disclosure, the image processing operation is an operation performed on an image by a user through an electronic device. For example, the image processing operation may include any one of image cropping, image stitching, beautification of a person in an image, adjustment of a shape of a person in an image, and image pasting in an image.

Step S102, acquiring operation information corresponding to the currently detected image processing operation.

In step S101, the electronic apparatus detects each image processing operation performed based on the target image in real time. When the electronic equipment detects the image processing operation at the current moment, the operation information corresponding to the currently detected image processing operation is acquired.

The operation information indicates an operation mode of the user on the current image, and the electronic device can perform corresponding processing on the current image according to the operation information corresponding to the currently detected image processing operation, so as to obtain the image after the image processing operation.

Step S103, generating log information containing the operation information, and storing the log information into the first storage area.

In the embodiment of the present disclosure, log information may be generated based on a Write-Ahead Logging (WAL) technique, and stored into the first storage area. The log information may be Memory Mapping (MMAP) log information, and the first storage area may be at least one of a database, a preset Memory area, a preset file, and the like.

Specifically, the log information may be generated using a preset log format and the operation information, where the preset log format includes log identification information. The log identification information is used to identify a log, and for example, the log identification information may be integer information, such as light.

The log information generated by using the preset log format and the operation information includes log identification information and operation information, where the operation information may be original operation information or encoded operation information, and the encoded operation information may be binary information.

The log information may include the encoded operation information, and the encoding mode may be an existing encoding mode or a custom encoding mode, which is not limited herein.

The disclosed embodiment provides a processing method of image processing operation, compared with the prior art, the disclosed embodiment continuously monitors each image processing operation based on a target image, obtains operation information corresponding to the image processing operation aiming at the currently detected image processing operation, achieves the purpose of obtaining the operation information in real time, then generates log information containing the operation information in real time, and stores the log information into a first storage area, because the log information containing the operation information is stored, the log information is text information, compared with the image, the storage speed of the text information is faster, the fluency of image processing application programs can be improved, and because the operation information is obtained in real time, the log information containing the operation information is generated and stored in real time, the operation information of each image processing operation can be ensured not to be lost, the image obtained by each image processing operation is not lost, and the user experience is improved.

In another possible implementation manner of the embodiment of the present disclosure, in step S101, the target image may be an unprocessed original image, or the target image may be a first intermediate image after the first number of image processing operations are performed on the original image.

For the embodiment of the present disclosure, the original image is an initial image that has not been subjected to any image processing operation by the user, for example, the original image may be a photographed image, and the original image may also be an image acquired on a network.

The image obtained after each image processing operation based on the original image can be used as an intermediate image. For example, when an image processing operation is performed on a captured image, an intermediate image 1 may be obtained; when the image processing operation is carried out on the intermediate image 1, an intermediate image 2 can be obtained; when the image processing operation is performed on the intermediate image 2, the intermediate image 3 can be obtained, and so on.

The first intermediate image is an image obtained by performing a first number of image processing operations on an original image, and the first number is a positive integer greater than 1 or equal to 1.

As for the above example, when the first order is 1, the first intermediate image is intermediate image 1; when the first number of times is 2, the first intermediate image is an intermediate image 2; when the first order is 3, the first intermediate image is the intermediate image 3.

Another possible implementation manner of the embodiment of the present disclosure may further include step S104 before step S101, that is, before each image processing operation performed on the target image is continuously detected, if the target image is the first intermediate image.

Step S104, obtaining the target image according to the log information about the target image stored in the first storage area.

It should be noted that, when the first storage area stores the log information about the target image, the storage may be performed in a manner of step S101 to step S103 provided in the embodiment of the present disclosure, that is, in the process of obtaining the first intermediate image, the log information corresponding to each image processing operation is stored in the first storage area in real time. When the first intermediate image is obtained through restoration, the log information can be extracted from the first storage area, and the first intermediate image is obtained through restoration according to the sequence of storing the log information.

For step S104 in the embodiment of the present disclosure, there may be two implementation manners, one implementation manner is to obtain a target image by using an original image and log information about the original image, and record the target image as implementation manner a 1; another way to achieve this is to use the intermediate image obtained by performing several image processing operations on the original image and the log information about the intermediate image to obtain the target image, which is denoted as implementation a2, and will be described in detail below.

In implementation a1, step S104 may specifically include step S10411 and step S10412.

In step S10411, if the target image is the first intermediate image, target information is acquired from the first storage area, the target information being log information corresponding to each image processing operation performed to convert the original image into the first intermediate image.

In the embodiment of the present disclosure, the first storage area may store therein log information corresponding to each image processing operation performed based on the original image, and the log information, i.e., the target information, corresponding to each image processing operation performed to convert the original image into the first intermediate image may be acquired from the first storage area.

For example, if the image processing operation is performed 3 times on the captured image and the intermediate image 1, the intermediate image 2, and the intermediate image 3 are obtained in this order, log information corresponding to each of the 3 image processing operations is stored in the first storage area, and the target image may be any of the intermediate images 1 to 3.

When the target image is the intermediate image 3, 3 pieces of log information stored in the first storage area are acquired as target information.

Step S10412, performing image processing operation on the pre-stored original image according to the operation information included in each log information in the target information, to obtain a target image.

In the embodiment of the present disclosure, the second storage area may store the original image, the second storage area may be at least one of a database, a preset memory area, a preset file, and the like, and the second storage area and the first storage area may be the same storage area or different storage areas, which is not limited herein.

In the embodiment of the disclosure, when the electronic device obtains the target image by using the original image and each piece of log information corresponding to the original image, the electronic device may sequentially extract the operation information from the log information according to the storage sequence of each piece of log information, and perform corresponding image processing operation on the original image based on the extracted sequence of the operation information to obtain the target image, that is, restore the image processing operation performed on the original image.

For example, when image processing is performed on a captured image, log information corresponding to each image processing operation is stored in a first storage area in real time, and if 3 image processing operations are performed in total, log information 1, log information 2, and log information 3 are sequentially stored in chronological order. If the target image is an image after the third image processing operation, when restoring the image processing operation performed on the captured image, the operation information 1 may be extracted from the log information 1, and the image processing operation may be performed on the captured image based on the operation information 1 to obtain an intermediate image 1; extracting operation information 2 from the log information 2, and performing image processing operation on the intermediate image 1 based on the operation information 2 to obtain an intermediate image 2; the operation information 3 is extracted from the log information 3, and the intermediate image 2 is subjected to image processing operation based on the operation information 3 to obtain the intermediate image 3, that is, an image after the third image processing operation.

In implementation a2, the target image may be a first intermediate image, and when the target image is the first intermediate image, step S104 may specifically include step S10421 and step S10422.

S10421, if the target image is the first intermediate image, acquiring target information from the first storage area, where the target information is log information corresponding to each image processing operation performed to convert the second intermediate image into the first intermediate image, and the second intermediate image is an image obtained by performing a second number of image processing operations on the original image, where the second number is smaller than the first number.

In the embodiment of the present disclosure, the first storage area may store therein log information corresponding to each image processing operation performed based on the second intermediate image, and the log information, i.e., the target information corresponding to each image processing operation performed to change from the second intermediate image to the first intermediate image may be acquired from the first storage area.

For example, if the image obtained by the image processing operation is performed 3 times to obtain the intermediate image 1, the intermediate image 2, and the intermediate image 3 in this order, and if the second intermediate image is the intermediate image 1, the first storage area stores log information corresponding to each of the last two image processing operations, and the target image may be the intermediate image 2 or the intermediate image 3. When the target image is the intermediate image 3, two pieces of log information stored in the first storage area are acquired as target information.

Step S10422, performing image processing operation on the pre-stored second intermediate image according to the operation information included in each log information in the target information, to obtain a target image.

For the disclosed embodiment, the second storage area may store a second intermediate image. When the electronic device obtains the target image by using the second intermediate image and each piece of log information about the second intermediate image, the electronic device may sequentially extract the operation information from the log information according to the storage sequence of each piece of log information, and perform corresponding image processing operation on the second intermediate image based on the extracted sequence of the operation information to obtain the target image, that is, restore the image processing operation performed on the second intermediate image.

For example, when the image processing operation is performed on the intermediate image 1, the log information corresponding to each image processing operation is stored in the first storage area in real time, and the log information 2 and the log information 3 are sequentially stored in chronological order on the assumption that the image processing operation is performed 2 times in total. If the target image is an image after the third image processing operation, when restoring the image processing operation performed on the intermediate image 1, the operation information 2 may be extracted from the log information 2, and the image processing operation may be performed on the intermediate image 1 based on the operation information 2 to obtain the intermediate image 2; the operation information 3 is extracted from the log information 3, and the intermediate image 2 is subjected to image processing operation based on the operation information 3 to obtain the intermediate image 3, that is, an image after the third image processing operation.

In implementation a2, the second storage area may store a plurality of intermediate images, and the first storage area may store log information corresponding to an image processing operation performed on each intermediate image. Wherein the second intermediate image may be any one of the intermediate images stored in the second storage area.

In the embodiment of the present disclosure, when the intermediate images are stored, each intermediate image may be stored in the second storage area in real time, and when the image processing operation performed on the second intermediate image is restored, the last stored intermediate image may be determined as the second intermediate image according to the storage sequence, and the image processing operation performed on the last stored intermediate image is restored according to the implementation mode a2, so that the target image may be restored and obtained by performing the image processing operation only for the minimum number of times, thereby reducing the operation steps during restoration and realizing rapid restoration.

Before the step S10412 in the method a1, that is, before the target image is obtained by performing the image processing operation on the pre-stored original image according to the operation information included in each log information in the target information, or before the step S10422 in the method a2, that is, before the target image is obtained by performing the image processing operation on the pre-stored second intermediate image according to the operation information included in each log information in the target information, the processing method of the image processing operation provided in the embodiment of the present disclosure may further include the step S1043 and the step S1044.

Step S1043, regarding each piece of log information in the target information, generating a first check code according to the operation information in the log information, and acquiring a second check code corresponding to the log information stored in advance.

In the embodiment of the present disclosure, when each piece of log information is stored, the following two implementation manners are respectively denoted as implementation manner B1 and implementation manner B2.

In the implementation B1, the second check code corresponding to each piece of log information may be generated in real time, and the second check code may be stored in the third storage area, where the third storage area may be at least one of a database, a preset memory area, a preset file, and the like. The third storage area, the first storage area, and the second storage area may be the same storage area, may also be different storage areas, and may also be any two of the same storage area, which is not limited herein.

In the implementation B2, each piece of log information may include the second check code corresponding to the log information, that is, in step S103, the second check code corresponding to the log information may be generated first, and then the log information including the second check code and the operation information may be generated.

For the implementation B1 and the implementation B2, when generating the second Check code corresponding to any log information, a Cyclic Redundancy Check (CRC) mode may be adopted, and the second Check code is generated by using the encoded operation information.

With respect to the implementation B2, please refer to fig. 2, and fig. 2 illustrates a schematic diagram of generating log information applied by the embodiment of the present disclosure, wherein the preset log format includes three parts, namely, an integer information length, a part for storing the second check code, which is denoted as "(CRC)", and a part for storing the encoded operation information, which is denoted as "(input content)". Specifically, the operation information is encoded to obtain encoded operation information, a CRC method is adopted to generate a second check code by using the encoded operation information, the second check code is stored in "(CRC)", and the encoded operation information is stored in "(input content)", and at this time, MMAP log information including light, the second check code, and the encoded operation information is obtained.

Further, regarding each piece of log information in the target information, with regard to the implementation B1, a second check code corresponding to the log information stored in advance may be acquired from the third storage area; for the implementation B2, the second check code in the log information may be extracted as the second check code corresponding to the log information.

Regarding each piece of log information in the target information, operation information may be extracted from the log information, and a first Check code may be generated using the operation information, where the operation information may be encoded operation information, and the first Check code may be generated using the encoded operation information by using a Cyclic Redundancy Check (CRC).

In step S1044, regarding each piece of log information in the target information, if the first check code and the second check code corresponding to the log information are the same, the step S10412 or the step S10422 is executed, that is, the step of "performing an image processing operation on the pre-stored original image according to the operation information included in each piece of log information in the target information to obtain the target image" is executed, or the step of "performing an image processing operation on the pre-stored second intermediate image according to the operation information included in each piece of log information in the target information to obtain the target image" is executed.

In this embodiment of the disclosure, each piece of log information in the target information is checked based on the first check code corresponding to the log information and the second check code corresponding to the log information obtained in step S1043, if the check is successful, that is, the first check code and the second check code corresponding to the log information are the same, step S10412 or step S10422 is executed, and specifically, the steps related to step S10412 and step S10422 are described in detail in the relevant description of the above embodiment, and are not described again here.

As shown in fig. 3, fig. 3 is a schematic diagram illustrating an operation information extraction process from log information, where the extraction process shown in fig. 3 is implemented on the basis of implementation B2, and is applicable to the embodiment of the present disclosure. Specifically, regarding each piece of log information in the target information, the log information includes light, a second check code and encoded operation information, the light is used to identify the log information, the second check code and the encoded operation information are extracted from the log information, the encoded operation information is used to generate a first check code, whether the first check code is consistent with the second check code is checked, and if so, the encoded operation information is decoded to obtain the operation information; if the log information is inconsistent with the operation information, the log information is falsified, and the operation information cannot be obtained by using the log information.

For the embodiment of the disclosure, the first check code and the second check code corresponding to the log information are used for checking, and whether the log information is tampered or not can be judged to determine whether the operation information in the log information is accurate or not when the operation information in the log information is used for reduction, so that the image processing operation of a user is prevented from being reduced by using the wrong operation information, and the accuracy in reduction is improved.

With regard to implementation a2, another possible implementation of the embodiments of the present disclosure, the second intermediate image satisfies any one of storage conditions C1-C3.

The storage condition C1 is that, for each image processing operation to be performed to obtain the target image from the original image, if the operation duration of the image processing operation is greater than the preset duration threshold, the image generated in response to the image processing operation is stored as the second intermediate image.

In the embodiment of the disclosure, each time of image processing operation based on an original image, the operation duration of the currently performed image processing operation may be determined in real time, and if the operation duration is greater than a preset duration threshold, an intermediate image obtained after the currently performed image processing operation is stored in the second storage area.

The storage condition C2 is a condition for storing, as a second intermediate image, an image generated in association with each image processing operation, which is performed to obtain the target image from the original image, if the rank value of the image processing operation satisfies a preset rank value.

In the embodiment of the present disclosure, each time the image processing operation is performed based on the original image, the ranking number of the currently performed image processing operation may be determined in real time, and if the ranking number satisfies the preset ranking number, the intermediate image obtained after the currently performed image processing operation is stored in the second storage area.

It should be noted that the preset ranking number may be at least one, such as 5, 10, 15, etc., the ranking number of the image processing operation is the number of times corresponding to the image processing operation, in a popular way, n is a positive integer in the nth image processing operation performed on the image, and the image processing operation whose ranking number satisfies the preset ranking number is the number of times corresponding to the image processing operation included in the preset ranking number.

The storage condition C3 is a condition for storing an image generated for each image processing operation to obtain a target image from an original image as a second intermediate image when a user operation to store the image is detected.

In the embodiment of the present disclosure, in the intermediate image obtained after each image processing operation performed on the basis of the original image, if a storage operation of the user for the current intermediate image is detected, the current intermediate image is stored in the second storage area.

Since any one of the intermediate images can be used as the second intermediate image, the storage condition of the second intermediate image is the same as that of any one of the intermediate images.

For step S102, in another possible implementation manner of the embodiment of the present disclosure, the operation information corresponding to each image processing operation includes first parameter information and second parameter information, where the first parameter information carries operation type information corresponding to the image processing operation, and the second parameter information carries operation manner information under the operation type corresponding to the image processing operation.

In the embodiment of the present disclosure, the operation type may include at least one of cutting, puzzle making, filter, sticker, beauty, makeup, body beauty, and the like; at least one operation mode can be included under any operation type, for example, the operation mode of the operation type 'cutting' includes certificate photo cutting, equal proportion cutting and the like.

As shown in fig. 4, fig. 4 is a schematic diagram illustrating operation information applicable to the embodiment of the present disclosure. In fig. 4, the operation type of the image processing operation includes beauty, makeup, body beautification, and the like, the operation type "beauty" includes the operation manner "beauty with one key", and the like, the operation type "makeup" includes the operation manner "gas suit", and the like, and the operation type "body beautification" includes the operation manner "slimming", and the like.

The user can select any operation type and execute any operation mode under the selected operation type, and the electronic equipment determines the operation information when receiving the operation type selected by the user and the operation mode under the operation type. For example, the user may select beauty and perform one-touch beauty under the beauty, at this time, the electronic device may determine operation information, the operation information including operation type information, such as scene in fig. 4, and operation manner information under the operation type, the operation manner information including at least one piece of information, such as action and param in fig. 4: value.

The action represents an operation mode executed by the user, for example, the action may represent a one-key beauty, param: value represents a specific adjustment parameter corresponding to an operation mode performed by a user, and in general, any operation mode corresponds to at least one specific adjustment parameter, for example, the specific adjustment parameter in fig. 4 includes param 1: value1, param 2: value2, and the like. param indicates adjusted pixel information, and value indicates an adjustment value corresponding to the pixel information.

The processing method of the image processing operation of the present disclosure is described in detail above from the perspective of method steps, and the processing apparatus of the image processing operation of the embodiment of the present disclosure will be described below from the perspective of virtual modules, specifically:

an embodiment of the present disclosure provides a processing apparatus for an image processing operation, and as shown in fig. 5, the processing apparatus 50 for an image processing operation may include: a detection module 501, an acquisition module 502, and a generation storage module 503, wherein,

a detection module 501, configured to continuously detect each image processing operation performed based on the target image.

The obtaining module 502 is configured to obtain operation information corresponding to the currently detected image processing operation.

A generating and storing module 503, configured to generate log information including the operation information, and store the log information in the first storage area.

In another possible implementation manner of the embodiment of the present disclosure, the target image is an unprocessed original image, or the target image is a first intermediate image obtained by performing a first number of image processing operations on the original image.

In another possible implementation manner of the embodiment of the present disclosure, the processing apparatus 50 for image processing operation further includes an obtaining module, where the obtaining module is configured to:

when the target image is the first intermediate image, the target image is obtained based on the log information on the target image stored in the first storage area before each image processing operation performed on the target image is continuously detected.

In another possible implementation manner of the embodiment of the present disclosure, the obtaining module is specifically configured to:

when the target image is a first intermediate image, acquiring target information from the first storage area, wherein the target information is log information corresponding to each image processing operation performed by converting the original image into the first intermediate image;

and performing image processing operation on the pre-stored original image according to the operation information contained in each log information in the target information to obtain the target image.

when the target image is a first intermediate image, acquiring target information from the first storage area, wherein the target information is log information corresponding to each image processing operation performed by converting a second intermediate image into the first intermediate image, the second intermediate image is an image obtained by performing a second number of image processing operations on the original image, and the second number is smaller than the first number;

and performing image processing operation on the pre-stored second intermediate image according to the operation information contained in each log information in the target information to obtain the target image.

In another possible implementation manner of the embodiment of the present disclosure, the obtaining module is further configured to:

generating a first check code according to operation information in the log information and acquiring a second check code corresponding to the pre-stored log information about each piece of log information in the target information;

regarding each piece of log information in the target information, when the first check code and the second check code corresponding to the log information are the same, the operation corresponding to the operation information contained in each piece of log information in the target information is realized.

In another possible implementation manner of the embodiment of the present disclosure, the second intermediate image satisfies any one of the following storage conditions:

regarding each image processing operation adopted for obtaining the target image from the original image, when the operation duration of the image processing operation is greater than a preset duration threshold, storing an image generated corresponding to the image processing operation as the second intermediate image;

regarding each image processing operation adopted for obtaining the target image from the original image, when the ranking number value of the image processing operation meets a preset ranking number value, storing an image generated corresponding to the image processing operation as a second intermediate image;

and regarding the image which is generated corresponding to each image processing operation adopted for obtaining the target image from the original image, when the storage operation of the image by the user is detected, the image is stored as a second intermediate image.

In another possible implementation manner of the embodiment of the present disclosure, the operation information corresponding to each image processing operation includes first parameter information and second parameter information, where the first parameter information carries operation type information corresponding to the image processing operation, and the second parameter information carries operation mode information corresponding to the operation type of the image processing operation.

The processing device 50 for image processing operation of this embodiment can execute a processing method for image processing operation provided by the method of this disclosure, which is similar to the original implementation and will not be described herein again.

The disclosed embodiment provides a processing device for image processing operation, compared with the prior art, the disclosed embodiment continuously monitors each image processing operation based on a target image, obtains operation information corresponding to the image processing operation aiming at the currently detected image processing operation, achieves the purpose of obtaining the operation information in real time, then generates log information containing the operation information in real time, and stores the log information into a first storage area, because the log information containing the operation information is stored, the log information is text information, compared with the image, the storage speed of the text information is faster, the fluency of image processing application programs can be improved, and because the operation information is obtained in real time, the log information containing the operation information is generated and stored in real time, the operation information of each image processing operation can be ensured not to be lost, the image obtained by each image processing operation is not lost, and the user experience is improved.

The processing device of the image processing operation of the present disclosure is described above from the perspective of a virtual module, and the electronic apparatus of the present disclosure is described below from the perspective of a physical device.

An embodiment of the present disclosure provides an electronic device, which includes:

one or more processors;

a memory;

one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: a processing method according to the image processing operation shown in the method embodiment is performed.

Referring now to fig. 6, a schematic diagram of an electronic device (e.g., the terminal device of fig. 1) 600 suitable for implementing embodiments of the present disclosure is shown. The terminal device in the embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

The electronic device includes: a memory and a processor, wherein the processor may be referred to as a processing device 601 described below, and the memory may include at least one of a Read Only Memory (ROM)602, a Random Access Memory (RAM)603, and a storage device 608, which are described below:

as shown in fig. 6, electronic device 600 may include a processing means (e.g., central processing unit, graphics processor, etc.) 601 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage means 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the electronic apparatus 600 are also stored. The processing device 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.

Generally, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 607 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 608 including, for example, tape, hard disk, etc.; and a communication device 609. The communication means 609 may allow the electronic device 600 to communicate with other devices wirelessly or by wire to exchange data. While fig. 6 illustrates an electronic device 600 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 609, or may be installed from the storage means 608, or may be installed from the ROM 602. The computer program, when executed by the processing device 601, performs the above-described functions defined in the methods of the embodiments of the present disclosure.

It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.

The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: continuously detecting each image processing operation performed based on the target image; acquiring operation information corresponding to the currently detected image processing operation; generating log information containing the operation information, and storing the log information into the first storage area.

Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The modules or units described in the embodiments of the present disclosure may be implemented by software or hardware. Here, the name of a module or a unit does not constitute a limitation of the unit itself in some cases, and for example, the acquisition module may also be described as a "module that acquires operation information corresponding to a currently detected image processing operation".

The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The disclosed embodiment provides an electronic device, and the electronic device in the disclosed embodiment includes: a memory and a processor; at least one program stored in the memory for execution by the processor, which when executed by the processor, implements: the method comprises the steps of continuously monitoring each image processing operation based on a target image, aiming at the currently detected image processing operation, obtaining operation information corresponding to the image processing operation, achieving the purpose of obtaining the operation information in real time, then generating log information containing the operation information in real time, and storing the log information into a first storage area.

The electronic device of the present disclosure is described above from the perspective of a physical apparatus, and the computer-readable medium of the present disclosure is described below from the perspective of a medium.

The disclosed embodiments provide a computer-readable storage medium having stored thereon a computer program, which, when run on a computer, enables the computer to perform the corresponding content in the aforementioned method embodiments. Compared with the prior art, the method continuously monitors each image processing operation based on the target image, acquires the operation information corresponding to the image processing operation aiming at the currently detected image processing operation, achieves the aim of acquiring the operation information in real time, then generating log information containing the operation information in real time, storing the log information into a first storage area, because the log information containing the operation information is stored, the log information is text information, compared with images, the storage speed of the text information is higher, can improve the fluency of image processing application programs, and because the operation information is acquired in real time, the log information containing the operation information is generated and stored in real time, the method and the device can ensure that the operation information of each image processing operation is not lost, namely, the image obtained by each image processing operation is not lost, and the user experience is improved.

According to one or more embodiments of the present disclosure, there is provided a method of processing an image processing operation, including:

generating log information containing the operation information, and storing the log information into a first storage area.

According to one or more embodiments of the present disclosure, the target image is an unprocessed original image, or the target image is a first intermediate image after a first number of image processing operations are performed on the original image.

According to one or more embodiments of the present disclosure, if the target image is the first intermediate image, before each image processing operation performed on the target image by the continuous detection, the method further includes:

and obtaining the target image according to the log information about the target image stored in the first storage area.

According to one or more embodiments of the present disclosure, the obtaining the target image according to the log information about the target image stored in the first storage area includes:

if the target image is the first intermediate image, acquiring target information from the first storage area, wherein the target information is log information corresponding to each image processing operation performed by converting the original image into the first intermediate image;

and performing image processing operation on the pre-stored original image according to operation information contained in each log information in the target information to obtain the target image.

if the target image is the first intermediate image, acquiring target information from the first storage area, wherein the target information is log information corresponding to each image processing operation performed by converting a second intermediate image into the first intermediate image, the second intermediate image is an image obtained by performing a second number of image processing operations on the original image, and the second number is smaller than the first number;

and performing image processing operation on the pre-stored second intermediate image according to operation information contained in each log information in the target information to obtain the target image.

According to one or more embodiments of the present disclosure, before the operation information included in each log information according to the target information, the method further includes:

and regarding each piece of log information in the target information, if the first check code and the second check code corresponding to the log information are the same, executing the step of operating the information contained in each piece of log information in the target information.

According to one or more embodiments of the present disclosure, the second intermediate image satisfies any one of the following storage conditions:

regarding each image processing operation adopted for obtaining the target image from the original image, if the operation duration of the image processing operation is greater than a preset duration threshold, storing an image generated corresponding to the image processing operation as the second intermediate image;

regarding each image processing operation adopted for obtaining the target image from the original image, if the ranking value of the image processing operation meets a preset ranking value, storing an image generated corresponding to the image processing operation as the second intermediate image;

and storing the image as the second intermediate image when a user's storage operation for the image is detected with respect to the image generated for each image processing operation for obtaining the target image from the original image.

According to one or more embodiments of the present disclosure, the operation information corresponding to each image processing operation includes first parameter information and second parameter information, where the first parameter information carries operation type information corresponding to the image processing operation, and the second parameter information carries operation mode information under the operation type corresponding to the image processing operation.

According to one or more embodiments of the present disclosure, there is provided a processing apparatus of an image processing operation, including:

and the generating and storing module is used for generating log information containing the operation information and storing the log information into a first storage area.

According to one or more embodiments of the present disclosure, the apparatus further comprises an obtaining module configured to:

when the target image is the first intermediate image, the target image is obtained from the log information on the target image stored in the first storage area before each image processing operation performed on the target image is continuously detected.

According to one or more embodiments of the present disclosure, the obtaining module is specifically configured to:

when the target image is the first intermediate image, acquiring target information from the first storage area, wherein the target information is log information corresponding to each image processing operation performed by converting the original image into the first intermediate image;

when the target image is the first intermediate image, acquiring target information from the first storage area, wherein the target information is log information corresponding to each image processing operation performed by converting a second intermediate image into the first intermediate image, the second intermediate image is an image obtained by performing a second number of image processing operations on the original image, and the second number is smaller than the first number;

According to one or more embodiments of the present disclosure, the obtaining module is further configured to:

and regarding each piece of log information in the target information, when the first check code and the second check code corresponding to the log information are the same, implementing the operation corresponding to the operation information contained in each piece of log information in the target information.

regarding each image processing operation adopted for obtaining the target image from the original image, when the ranking value of the image processing operation meets a preset ranking value, storing an image generated corresponding to the image processing operation as the second intermediate image;

and regarding the image which is generated correspondingly to each image processing operation adopted for obtaining the target image from the original image, when the storage operation of the image by the user is detected, the image is stored as the second intermediate image.

According to one or more embodiments of the present disclosure, there is provided an electronic apparatus, characterized in that it includes:

one or more processors;

a memory;

one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: a processing method of performing an image processing operation according to any one of the implementations of the method embodiment.

According to one or more embodiments of the present disclosure, there is provided a computer-readable medium having stored thereon a computer program which, when executed by a processor, implements a method of processing image processing operations shown in any of the implementations of the method embodiments.

The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.

Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims

1. A method of processing an image processing operation, comprising:

2. The method according to claim 1, wherein if the target image is a first intermediate image, the first intermediate image is an image obtained by performing a first number of image processing operations on an original image, and the original image is an unprocessed image;

before each image processing operation performed on the target image by the continuous detection, the method further comprises:

3. The method according to claim 2, wherein the obtaining the target image from the log information about the target image stored in the first storage area comprises:

4. The method according to claim 2, wherein the obtaining the target image from the log information about the target image stored in the first storage area comprises:

5. The method according to claim 3 or 4, wherein before the operation information included according to each log information in the target information, further comprising:

6. The method according to claim 4, wherein the second intermediate image satisfies any one of the following storage conditions:

7. The method according to any one of claims 1 to 4, wherein the operation information corresponding to each image processing operation includes first parameter information and second parameter information, the first parameter information carries operation type information corresponding to the image processing operation, and the second parameter information carries operation mode information under the operation type corresponding to the image processing operation.

8. A processing apparatus for image processing operations, comprising:

9. An electronic device, comprising:

one or more processors;

a memory;

one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: a processing method of performing an image processing operation according to any one of claims 1 to 7.

10. A computer-readable medium, on which a computer program is stored, which, when executed by a processor, implements a processing method of the image processing operation of any one of claims 1 to 7.