WO2016188185A1

WO2016188185A1 - Photo processing method and apparatus

Info

Publication number: WO2016188185A1
Application number: PCT/CN2016/076003
Authority: WO
Inventors: 庞宁; 崔静
Original assignee: 中兴通讯股份有限公司
Priority date: 2015-10-15
Filing date: 2016-03-09
Publication date: 2016-12-01
Also published as: CN106603903A

Abstract

Provided are a photo processing method and apparatus. The method comprises: identifying a predetermined object image in a photo to be processed; erasing the other object images in the photo to be processed, wherein the other object images, apart from the identified predetermined object image, are of the same type as the predetermined object image in the photo to be processed; and performing restoring treatment on the photo to be processed in which the other object images are erased. By means of the present invention, the problem existing in the related art of low user experience due to the fact that unrelated images in a photo cannot be timely erased without the need of manual intervention is solved, thereby achieving the effects of a terminal intelligently identifying and eliminating unrelated images in a photo after completing shooting, increasing the processing efficiency of the photo, and improving the user experience.

Description

Photo processing method and device

Technical field

The present invention relates to the field of communications, and in particular to a photo processing method and apparatus.

Background technique

With the development of technology, more and more functions on the terminal have brought a lot of convenience to people's lives. Taking the camera on the mobile phone as an example, the pixels of the camera on the mobile phone have been significantly improved, thereby making the user Can clearly record the scenery in life.

Among them, the photo taking of the attraction is an important scene for the user to take photos with the mobile phone, and there are many tourists in the scenic spot, and the photos taken on the photos are often accidentally taken into the screen by the stranger, which becomes a major pain point for the user to take photos with the mobile phone. In the related art, after taking a photo with a mobile phone, the mobile phone cannot be used to take pictures of the stranger after the photo is taken, and only through the special software of the later stage, such as Mito Xiuxiu, photoshop, and The image of the stranger that needs to be removed is selected artificially, and the image of the stranger can be removed through the combination of the map and the picture, the processing period is long, and the user experience is low.

In view of the problem that there is a need in the related art that human intervention is required to eliminate irrelevant images in photos, and the user experience is low, an effective solution has not been proposed yet.

Summary of the invention

The present invention provides a photo processing method and apparatus for solving at least the problem of requiring manual intervention in the related art, resulting in an inability to eliminate irrelevant images in a photo in time, and having a low user experience.

According to an aspect of the present invention, a photo processing method includes: identifying a predetermined object image in a photo to be processed; erasing other object images in the to-be-processed photo, wherein the other object image is the An object image of the same type as the predetermined object image other than the identified predetermined object image; and a repair process of the to-be-processed photo from which the other object image is erased.

Optionally, the identifying the predetermined object image in the to-be-processed photo includes: identifying the predetermined object image in the to-be-processed photo according to a pre-saved first photo; or, by scanning the predetermined object image The manner of predetermining the object identifies the predetermined object image in the photo to be processed.

Optionally, identifying the predetermined object image in the to-be-processed photo according to the first photo includes: calling the first photo saved in advance; and displaying an object image in the first photo with the to-be-processed The image of the object in the photo is compared one by one; and the image of the object in the to-be-processed image whose image similarity with the object image in the first photo is greater than or equal to a predetermined value is determined as the predetermined object image.

Optionally, performing a repair process on the to-be-processed photo of the other object image, including at least one of: performing a repair process on the to-be-processed photo of the other object image that is erased according to the pre-saved second photo, Wherein said The second photo includes a background image other than the object image in the to-be-processed photo; and the repairing process is performed on the photo to be processed according to the image around the other object image in the to-be-processed photo.

Optionally, performing a repair process on the to-be-processed photo of the other object image that is erased according to the second photo saved in advance includes: acquiring the other object in the second photo and the photo to be processed a background image corresponding to the position of the image; filling a background image corresponding to the position of the other object image in the second photo to a position in the to-be-processed photo where the other object image is erased.

According to another aspect of the present invention, there is provided a photo processing apparatus comprising: an identification module configured to identify a predetermined object image in a photo to be processed; an erasing module configured to erase other objects in the photo to be processed An image, wherein the other object image is an object image of the same type as the predetermined object image other than the identified predetermined object image; the processing module is configured to erase the other object image The pending photos are repaired.

Optionally, the identification module includes: an identification unit configured to identify the predetermined object image in the to-be-processed photo according to a first photo saved in advance; or by scanning a predetermined object corresponding to the predetermined object image The manner identifies the predetermined object image in the to-be-processed photo.

Optionally, the identifying unit includes: an calling subunit configured to call the first photo saved in advance; and a comparison subunit configured to image the object in the first photo and the photo in the to-be-processed photo The object image is compared one by one; the determining subunit is configured to determine that the object image in the photo to be processed that is similar to the object image in the first photo is greater than or equal to a predetermined value is the predetermined object image.

Optionally, the processing module includes at least one of: a first processing unit configured to perform a repair process on the to-be-processed photo of the other object image that is erased according to the second photo saved in advance, where The second photo includes a background image other than the object image in the to-be-processed photo; the second processing unit is configured to repair the to-be-processed photo according to the image around the other object image in the to-be-processed photo deal with.

Optionally, the first processing unit includes: an acquiring subunit, configured to acquire a background image corresponding to a position of the other object image in the to-be-processed photo in the second photo; filling a subunit, setting Filling a background image corresponding to the position of the other object image in the second photo into the to-be-processed photo to erase the position of the other object image.

By the present invention, identifying a predetermined object image in the photo to be processed; erasing other object images in the to-be-processed photo, wherein the other object image is the predetermined object image in the photo to be processed An object image of the same type as the predetermined object image; and a repair process of the to-be-processed image from which the other object image is erased. The invention solves the problem that the manual technology requires manual intervention, which can not eliminate the irrelevant images in the photo in time, and the user experience is low, thereby realizing that the terminal intelligently recognizes and eliminates irrelevant images in the photos after the photographing is completed, thereby improving the photo processing efficiency. To improve the user experience.

DRAWINGS

The drawings described herein are provided to provide a further understanding of the invention, which form a part of this application, The illustrative embodiments and the description thereof are illustrative of the invention and are not to be construed as limiting the invention. In the drawing:

1 is a flow chart of a photo processing method according to an embodiment of the present invention;

2 is a block diagram showing the structure of a photo processing apparatus according to an embodiment of the present invention;

FIG. 3 is a structural block diagram of an identification module 22 in a photo processing apparatus according to an embodiment of the present invention; FIG.

4 is a block diagram showing the structure of an identification unit 32 in a photo processing apparatus according to an embodiment of the present invention;

FIG. 5 is a structural block diagram of a processing module 26 in a photo processing apparatus according to an embodiment of the present invention; FIG.

FIG. 6 is a structural block diagram of a first processing unit 52 in a photo processing apparatus according to an embodiment of the present invention; FIG.

7 is an overall flow chart of photo restoration according to an embodiment of the present invention;

8 is a flow chart of a preset reference portrait in accordance with an embodiment of the present invention;

9 is a flow chart showing the complete operation of a user taking a photo of a place of interest according to an embodiment of the present invention.

detailed description

The invention will be described in detail below with reference to the drawings in conjunction with the embodiments. It should be noted that the embodiments in the present application and the features in the embodiments may be combined with each other without conflict.

It is to be understood that the terms "first", "second" and the like in the specification and claims of the present invention are used to distinguish similar objects, and are not necessarily used to describe a particular order or order.

In the embodiment, a photo processing method is provided. FIG. 1 is a flowchart of a photo processing method according to an embodiment of the present invention. As shown in FIG. 1, the flow includes the following steps:

Step S102, identifying a predetermined object image in the photo to be processed;

Step S104, erasing other object images in the to-be-processed photo, wherein the other object image is an object image of the same to the predetermined object image except the recognized predetermined object image in the to-be-processed photo;

Step S106, performing repair processing on the to-be-processed photo on which the other object image is erased.

The operation may be a terminal, and the foregoing operation may be an operation performed before the photo is saved after the terminal is photographed. Through the above steps, the object image that needs to be retained is intelligently recognized, and other irrelevant images are erased. No manual intervention is required, so that the image that the user desires to exist is intelligently retained, and the above processing flow can be directly performed in the terminal, so that the photo can be saved without using the special retouching software for rewriting the photo. Time, solves the problem that the related technology needs manual intervention, which can not eliminate the irrelevant images in the photo in time, and the user experience is low, and then realizes that the terminal intelligently recognizes and eliminates irrelevant images in the photos after the photographing is completed, and improves the photos. Process efficiency and improve the user experience.

In an optional embodiment, identifying the predetermined object image in the to-be-processed photo includes: pre-preserving The first photo identifies a predetermined object image in the photo to be processed. In this embodiment, a predetermined number of the predetermined object images that need to be retained may be photographed in advance, so that after the subsequent photographing, the predetermined object image in the photographs of the subsequent photographs may be identified by using the photographs taken in advance to improve the recognition of the image of the predetermined object. Accuracy, of course, the manner of acquiring the first photo saved in advance may be other methods, in addition to being photographed by the terminal itself, or may be a photo transmitted by another terminal received, or may be a downloaded photo, etc. . Alternatively, the predetermined object image in the to-be-processed photo may be identified by scanning a predetermined object corresponding to the predetermined object image. In this embodiment, the scanning function in the terminal may be triggered as needed to determine by scanning a predetermined object. An image of the object is predetermined, thereby identifying a predetermined object image in the photo to be processed based on the image of the predetermined object determined by the scan.

In an optional embodiment, identifying the predetermined object image in the to-be-processed photo according to the first photo includes: calling the pre-saved first photo; and the object image in the first photo and the object image in the to-be-processed photo Performing a one-to-one comparison; determining that the image of the object in the to-be-processed image that is similar to the object image in the first photo above is greater than or equal to a predetermined value is a predetermined object image. Among them, in the comparison, the face recognition algorithm can be used for comparison, and the character appearance feature recognition algorithm can also be used for comparison, or other methods can be used for comparison.

In an optional embodiment, the repairing process of the to-be-processed photo that erases the image of the other object includes at least one of: performing a to-be-processed photo on which the other object image is erased according to the pre-saved second photo. a repair process, wherein the second photo includes a background image other than the object image in the photo to be processed. That is, before the predetermined object image and the background image are photographed, a photograph of a predetermined number of background images may be separately photographed, so that when the photograph is restored, the photograph image may be repaired using the background image photographed in advance, thereby improving the repair accuracy. It is also possible to perform a repair process on the image to be processed according to the image around the image of the other object in the photo to be processed, that is, the background image at the position to be repaired can be estimated from the surrounding image, thereby performing the filling.

In an optional embodiment, the repairing the to-be-processed photo of the other object image that is erased according to the second photo saved in advance includes: acquiring the image of the other object in the second photo and the image to be processed a background image corresponding to the position; filling a background image corresponding to the position of the other object image in the second photo to a position in the image to be processed that erases the image of the other object. This will give you the ideal single-person photo.

Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, by hardware, but in many cases, the former is A better implementation. Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk, The optical disc includes a number of instructions for causing a terminal device (which may be a cell phone, a computer, a server, or a network device, etc.) to perform the methods described in various embodiments of the present invention.

In the embodiment, a photo processing device is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and will not be described again. As used below, the term "module" may implement a combination of software and/or hardware of a predetermined function. Although the apparatus described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware, is also possible and contemplated.

2 is a block diagram showing the structure of a photo processing apparatus according to an embodiment of the present invention. As shown in FIG. 2, the apparatus includes a recognition mode. Block 22, erase module 24, and processing module 26 are described below.

The identification module 22 is configured to identify a predetermined object image in the photo to be processed; the erasing module 24 is connected to the identification module 22, and is configured to erase other object images in the to-be-processed photo, wherein the other object image is An image of the object in the image to be processed that is identical to the image of the predetermined object other than the identified image of the predetermined object; the processing module 26 is coupled to the above-described erasing module 24, and configured to perform a photo to be processed on which the image of the other object is erased. Repair processing.

3 is a block diagram showing the structure of the identification module 22 in the photo processing apparatus according to the embodiment of the present invention. As shown in FIG. 3, the identification module 22 includes an identification unit 32, which will be described below.

The identification unit 32 is configured to identify the predetermined object image in the to-be-processed photo according to the first photo saved in advance; or to identify the predetermined object image in the to-be-processed image by scanning a predetermined object corresponding to the predetermined object image.

4 is a block diagram showing the structure of the recognizing unit 32 in the photo processing apparatus according to the embodiment of the present invention. As shown in FIG. 4, the recognizing unit 32 includes an invoking subunit 42, a comparing subunit 44, and a determining subunit 46. The identification unit 32 will be described.

The calling sub-unit 42 is configured to call the first photo saved in advance; the comparison sub-unit 44 is connected to the calling sub-unit 42 and is configured to perform an object image in the first photo and an object image in the photo to be processed. A comparison sub-unit 46, coupled to the comparison sub-unit 44, is configured to determine that the object image of the image to be processed that is similar to the object image in the first photo is greater than or equal to a predetermined value is the predetermined object image.

FIG. 5 is a structural block diagram of a processing module 26 in a photo processing apparatus according to an embodiment of the present invention. As shown in FIG. 5, the processing module 26 includes a first processing unit 52 and/or a second processing unit 54, which is processed below. Module 26 is described.

The first processing unit 52 is configured to perform a repair process on the to-be-processed photo from which the other object image is erased according to the second photo saved in advance, wherein the second photo includes a background other than the object image in the to-be-processed photo The second processing unit 54 is configured to perform a repair process on the photo to be processed according to the image around the other object images in the to-be-processed photo.

FIG. 6 is a structural block diagram of a first processing unit 52 in a photo processing apparatus according to an embodiment of the present invention. As shown in FIG. 6, the first processing unit 52 includes an acquisition subunit 62 and a filler subunit 64. Unit 52 is described.

The obtaining sub-unit 62 is configured to acquire a background image corresponding to the position of the other object image in the to-be-processed photo in the second photo; the filling sub-unit 64 is connected to the obtaining sub-unit 62, and is configured to be in the second photo The background image corresponding to the position of the image of the other object is filled to the position of the image to be processed in which the image of the other object is erased.

The predetermined object image may be a person image or another animal image. The present invention will be described below by taking the predetermined object image as a person image as an example.

In the embodiment of the present invention, an attraction photographing mode of intelligent character recognition is realized by using integrated character recognition and portrait erasing technology, that is, an attraction photographing mode is added in the current photographing module, and the user does not need to manually check the photo to be removed. The content, just take a normal photo operation, the system can intelligently remove the extra characters in the photo. The whole invention can pass The following four functional modules are implemented: a preset reference portrait, a person recognition (corresponding to the above-mentioned identification module 22), a person erase (corresponding to the above-described erasure module 24), and a picture repair (corresponding to the above-described processing module 26). . The following is a description of the overall operation flow in combination with the four modules, and the process includes the following steps:

The first step: the user enters the photographing mode of the scenic spot, and needs to preset the reference character photo by using the preset reference portrait module before taking the photo;

Step 2: The user starts to take pictures of the person's sights, first manually focusing the screen;

The third step: when the system recognizes that there is focus, automatically takes a photo, uses the person recognition module to perform character recognition, and when the preview window displays a green focus frame, the recognition is completed;

Step 4: After the user sees the green focus frame, click the camera button to take a photo. At this time, the system takes a photo and erases the unrecognized person on the photo by using the person erasing module, and then uses the picture repair module to erase the image. The photo of the portrait is restored, and the modified photo is automatically saved.

The rectification process of the present invention will be described below in conjunction with the above modules. FIG. 7 is an overall flowchart of photo restoration according to an embodiment of the present invention. As shown in FIG. 7, the process includes the following steps:

Step S701: Presetting a reference portrait for searching for a character to be retained in the photo;

Step S702: The character recognition is used to compare the characters in the captured photos with the portraits of the reference portrait library, and identify the characters to be retained on the photos. The realization mechanism is to automatically take a photo in the framing frame, and the reference is made through The portrait photos in the portrait library are compared one by one, mainly to compare the physical features of the characters, and to extract the plurality of similar physical appearances and determine the same person;

Step S703: character erasing, for erasing the unrecognized successful portrait on the photographed photo;

Step S704: Image restoration for performing detail repair on the photo after erasing the portrait.

A complete preset reference portrait operation flow is introduced by taking a reference portrait of a different person (N is a natural number) at the same time as a user, and FIG. 8 is a flow chart of preset reference portrait according to an embodiment of the present invention, as shown in FIG. 8 . As shown, the process includes the following steps:

Step S801: The user starts the photographing module of the scenic spot photographed;

Step S802: The system detects whether the portrait library is empty;

Step S803: detecting that the portrait library is empty, the system defaults to the preset reference portrait function, and the interface is displayed as a person scan;

Step S804: detecting that the portrait library is not empty, the system enters a normal photographing interface;

Step S805: If the image of the character in the portrait library is incorrect or unclear, the character may be re-scanned to obtain a correct and clear image of the character. At this time, the user may initiate a preset function through the setting menu on the interface to perform a scanning operation;

Step S806: the user aligns the whole body (or the upper body) of the person to be preset through the rear (or front) camera, and the system interface automatically displays the top-down scanning process, and automatically saves a person photo in the background, and the interface display scan is completed. . User N people can be continuously scanned in the same operation (N is a natural number);

Step S807: The user clicks the completion button to exit the portrait preset interface.

9 is a complete operational flowchart of a user taking a photo of a scenic spot according to an embodiment of the present invention. As shown in FIG. 9, the flowchart includes the following steps:

Step S901: The user turns on the photo to enter the attraction photographing mode;

Step S902: the user clicks on the finder frame to focus;

Step S903: The system automatically takes ten photos in the background (the first one is used as a reference portrait library comparison, ten photos are all temporarily saved as a reference for subsequent image restoration), and the first photo and the reference portrait library are one by one. Contrast, character recognition by finding similar physical features;

Step S904: The system determines whether the character recognition is successful, and identifies the same person in the photo as the same as the reference portrait library, otherwise it fails;

Step S905: When the recognition is successful, the green focus frame is displayed on the recognized window in the preview window;

Step S906: when the recognition fails, perform a preview window normal autofocus, and display a green focus frame;

Step S907: When the user sees a green focus frame on the screen, click the camera button;

Step S908: The system automatically removes the unrecognized person on the photo, and only retains the same person as the reference portrait library;

Step S909: The system automatically performs scene restoration on the photo of the erased redundant portrait, and the repair method is to repair the details of the scene of the captured part by comparing the ten photos temporarily saved before and the captured photo;

Step S910: After the photo restoration is completed, the system automatically saves the photo and the photographing is completed.

In the above embodiment, after the framing frame is focused, the face recognition algorithm can be used when performing the person recognition, but the face recognition has limitations compared to the human object feature recognition, and the human object feature recognition is the same when the preset reference portrait is used. People only need to have a built-in photo.

The invention mainly integrates character recognition, portrait erasure and picture repair technology, and realizes an attraction photograph mode of intelligent character recognition. This mode can automatically recognize the characters to be photographed, automatically remove other idle people in the photo, and improve the user. It is easy to take pictures of the pain points of the noisy people when taking photos of the spots.

For the related art, the user can only delete the redundant characters in the photo by manually selecting or automatically recognizing the dynamic background, and deleting the content has certain limitations. However, the technical solution in the embodiment of the present invention has a certain improvement effect: the solution to be retained in the photo can be automatically recognized by the solution in the embodiment of the present invention, and other unrecognized characters are deleted as redundant characters while retaining the scene Details, the whole operation is more intelligent. You can erase the dynamic and static extra characters in the photo at the same time, and the deletion effect is more sufficient. The identification reference portrait is identified according to the physical features. When the reference portrait is preset, the same character only needs to preset a photo, and the user does not need to preset the multi-angle photo at one time, and the operation is more convenient.

It should be noted that each of the foregoing modules may be implemented by software or hardware. For the latter, The following manner is implemented, but is not limited thereto: the above modules are all located in the same processor; or, the above modules are respectively located in multiple processors.

Embodiments of the present invention also provide a storage medium. Optionally, in the embodiment, the foregoing storage medium may be configured to store program code for performing the following steps:

S1, identifying a predetermined object image in the photo to be processed;

S2, erasing other object images in the to-be-processed photo, wherein the other object image is an object image of the same as the predetermined object image except the recognized predetermined object image in the to-be-processed photo;

S3, repairing the to-be-processed photo with the image of the other object erased.

Optionally, in the embodiment, the foregoing storage medium may include, but is not limited to, a USB flash drive, a Read-Only Memory (ROM), and a Random Access Memory (RAM). A variety of media that can store program code, such as a hard disk, a disk, or an optical disk.

Optionally, in the embodiment, the processor performs the above steps S1-S3 according to the stored program code in the storage medium.

For example, the specific examples in this embodiment may refer to the examples described in the foregoing embodiments and the optional embodiments, and details are not described herein again.

It will be apparent to those skilled in the art that the various modules or steps of the present invention described above can be implemented by a general-purpose computing device that can be centralized on a single computing device or distributed across a network of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device such that they may be stored in the storage device by the computing device and, in some cases, may be different from the order herein. The steps shown or described are performed, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps thereof are fabricated as a single integrated circuit module. Thus, the invention is not limited to any specific combination of hardware and software.

The above description is only the preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Industrial applicability

As described above, the photo processing method and apparatus provided by the embodiments of the present invention have the following beneficial effects: solving the problem that the related art requires manual intervention, which may result in the inability to eliminate irrelevant images in the photo in time, and the user experience is low. Furthermore, after the photographing is completed, the terminal intelligently recognizes and eliminates irrelevant images in the photo, improves the photo processing efficiency, and improves the user experience.

Claims

A photo processing method comprising:

Identifying a predetermined object image in the photo to be processed;

Erasing other object images in the to-be-processed photo, wherein the other object image is an object image of the same to the predetermined object image except the identified predetermined object image in the to-be-processed photo;

A repair process is performed on the to-be-processed photo from which the other object image is erased.
The method of claim 1, wherein the identifying the predetermined object image in the to-be-processed photo comprises:

Identifying the predetermined object image in the to-be-processed photo according to the first photo saved in advance; or

The predetermined object image in the to-be-processed photo is identified by scanning a predetermined object corresponding to the predetermined object image.
The method according to claim 2, wherein the identifying the predetermined object image in the to-be-processed photo according to the first photo comprises:

Calling the first photo saved in advance;

Comparing the image of the object in the first photo with the image of the object in the photo to be processed;

Determining, in the photo to be processed, an object image having an image similarity with an object image in the first photo that is greater than or equal to a predetermined value is the predetermined object image.
The method of claim 1, wherein the repairing the photo to be processed that erases the image of the other object comprises at least one of the following:

Performing a repair process on the to-be-processed image from which the other object image is erased according to the second photo saved in advance, wherein the second photo includes a background image other than the object image in the to-be-processed photo;

And repairing the to-be-processed photo according to an image around the other object image in the to-be-processed photo.
The method according to claim 4, wherein the repairing the image to be processed from which the other object image is erased according to the second photo saved in advance comprises:

Obtaining, in the second photo, a background image corresponding to a location of the other object image in the to-be-processed photo;

Filling a background image corresponding to the position of the other object image in the second photo to a position in the to-be-processed photo where the other object image is erased.
A photo processing device comprising:

An identification module configured to identify a predetermined object image in the photo to be processed;

An erasing module configured to erase other object images in the to-be-processed photo, wherein the other object image is an image of the predetermined object other than the identified predetermined object image in the to-be-processed photo An image of the same kind of object;

The processing module is configured to perform a repair process on the to-be-processed photo from which the other object image is erased.
The apparatus of claim 6 wherein said identification module comprises:

An identification unit configured to identify the predetermined object image in the to-be-processed photo according to a first photo saved in advance, or to identify the to-be-processed photo in a manner of scanning a predetermined object corresponding to the predetermined object image Predetermine the image of the object.
The apparatus of claim 7, wherein the identification unit comprises:

Calling a subunit, set to call the first photo saved in advance;

a comparison subunit, configured to compare the object image in the first photo with the object image in the to-be-processed photo;

The determining subunit is configured to determine that the object image in the to-be-processed photo that is similar to the object image in the first photo is greater than or equal to a predetermined value is the predetermined object image.
The apparatus of claim 6 wherein said processing module comprises at least one of:

a first processing unit configured to perform a repair process on the to-be-processed photo from which the other object image is erased according to the second photo saved in advance, wherein the second photo includes the image of the object to be processed Background image outside

a second processing unit configured to perform a repair process on the to-be-processed photo according to an image around the other object image in the to-be-processed photo.
The apparatus of claim 9 wherein said first processing unit comprises:

Obtaining a subunit, configured to acquire a background image corresponding to a position of the other object image in the to-be-processed photo in the second photo;

a filling subunit, configured to fill a background image corresponding to a position of the other object image in the second photo to a position in the to-be-processed photo where the other object image is erased.