WO2018214900A1 - 存储装置、移动终端及其图像处理方法 - Google Patents

存储装置、移动终端及其图像处理方法 Download PDF

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Publication number
WO2018214900A1
WO2018214900A1 PCT/CN2018/087981 CN2018087981W WO2018214900A1 WO 2018214900 A1 WO2018214900 A1 WO 2018214900A1 CN 2018087981 W CN2018087981 W CN 2018087981W WO 2018214900 A1 WO2018214900 A1 WO 2018214900A1
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Prior art keywords
image
user
parameter
satisfied
mobile terminal
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PCT/CN2018/087981
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English (en)
French (fr)
Inventor
焦涛
周俊东
刘金玲
张海平
谭力
夏金
王旭辉
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捷开通讯(深圳)有限公司
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Priority to US16/615,413 priority Critical patent/US11405545B2/en
Publication of WO2018214900A1 publication Critical patent/WO2018214900A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
    • H04M1/7243—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality with interactive means for internal management of messages
    • H04M1/72439—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality with interactive means for internal management of messages for image or video messaging
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/55—Clustering; Classification
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/64—Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/51—Indexing; Data structures therefor; Storage structures
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/62—Control of parameters via user interfaces

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  • the present invention relates to the field of image processing technologies, and in particular, to a storage device, a mobile terminal, and an image processing method thereof.
  • the technical problem to be solved by the present invention is to provide a storage device, a mobile terminal and an image processing method thereof, which can directly obtain images that are satisfactory to the user, and save the time for user screening, thereby improving the user experience.
  • the present invention adopts a technical solution to provide a storage device, wherein the storage device is configured to store program data, and the program data can be executed to:
  • the program data is executed to further implement the following operations:
  • an image processing method for a mobile terminal comprising the following steps:
  • the shooting parameters of the camera of the mobile terminal are corrected according to the characteristic index parameter of the satisfactory image, so that the captured image is more in line with the requirements of the user.
  • an image processing mobile terminal comprising a camera, a memory and a processor, wherein the memory is used to store program data, and the program data can be processed by the processor. Execute to do the following:
  • the shooting parameters of the camera of the mobile terminal are corrected according to the characteristic index parameter of the satisfactory image, so that the captured image is more in line with the requirements of the user.
  • the invention has the beneficial effects that the storage device, the mobile terminal and the image processing method thereof are different from the prior art.
  • the image processing method includes the following steps: first acquiring feature index parameters of each image, and then acquiring an operation instruction, and classifying the image according to the operation instruction, and further determining whether the user is satisfied with the image according to the classification of the image, and if the user is determined to be an image.
  • the shooting parameters of the camera of the mobile terminal are corrected according to the characteristic index parameters of the satisfactory image, so that the captured image is more in line with the requirements of the user.
  • the learning and correction of the shooting parameters of the camera are completed based on the operation instruction of the image by the user, which can eliminate the operation of screening the unsatisfactory image, saves time, and improves the user experience.
  • FIG. 1 is a schematic flowchart of an image processing method of a mobile terminal according to an embodiment of the present invention
  • FIG. 2 is a schematic structural diagram of a mobile terminal for image processing according to an embodiment of the present invention
  • FIG. 3 is a schematic structural diagram of a storage device according to an embodiment of the present invention.
  • first and second in this application are used for descriptive purposes only, and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, features defining “first” or “second” may include at least one of the features, either explicitly or implicitly.
  • the meaning of "a plurality” is at least two, such as two, three, etc., unless specifically defined otherwise. All directional indications (such as up, down, left, right, front, back, ...) in the embodiments of the present application are only used to explain the relative positional relationship between components in a certain posture (as shown in the drawing).
  • references to "an embodiment” herein mean that a particular feature, structure, or characteristic described in connection with the embodiments can be included in at least one embodiment of the present application.
  • the appearances of the phrases in various places in the specification are not necessarily referring to the same embodiments, and are not exclusive or alternative embodiments that are mutually exclusive. Those skilled in the art will understand and implicitly understand that the embodiments described herein can be combined with other embodiments.
  • FIG. 1 is a schematic flowchart diagram of an image processing method of a mobile terminal according to an embodiment of the present invention. As shown in FIG. 1, the image processing method of the mobile terminal of this embodiment has the following steps:
  • Step S1 Acquire feature index parameters of each image.
  • the image includes a picture and a video format.
  • the image's characteristic index parameters include signal-to-noise ratio parameters (PSNR (dB)), dynamic range parameters (Dynamic range), resolution parameters (Resolution), color accuracy parameters (Color accuracy), and white balance error parameters (AWB error).
  • PSNR signal-to-noise ratio
  • DB dynamic range parameters
  • Resolution Resolution
  • Color accuracy Color accuracy
  • ABB error white balance error parameters
  • the feature index parameters of the image are further saved locally in the mobile terminal and uploaded to the cloud server.
  • Step S2 Acquire an operation instruction, and classify the image according to the operation instruction.
  • the operation instruction includes the user uploading an image to a social network, such as WeChat, qq, Facebook, and Weibo, and also includes deleting the image and marking the image as a satisfactory image or an unsatisfactory image. It should be understood that any operation of the image by the user can be understood as an operation instruction, and the embodiment does not limit the operation instruction.
  • This step specifically refers to classifying an image into an uploaded image, an deleted image, and an image marked as satisfactory or unsatisfactory according to an operation instruction.
  • the access time of the user to the image may be further obtained, and the image is classified according to the access time.
  • the number of times the user accesses the image can be further obtained, and the image is classified according to the number of accesses.
  • the user can further obtain the access time and the number of accesses of the image, and classify the image according to the access time and the number of times.
  • Step S3 Determine whether the user is satisfied with the image according to the classification of the image.
  • the image is an image that has been uploaded or is marked as a satisfactory image, it is judged that the user is satisfied with the image, and if the image is an image that has been deleted or an image that is marked as unsatisfactory, it is determined that the user is not satisfied with the image.
  • the image is accessed by the user within a preset time threshold, or the number of accesses is greater than or equal to a preset number of times threshold, or the image is accessed by the user within a preset time threshold and the number of accesses is greater than or equal to
  • the preset number of thresholds determines that the user is satisfied with the image. Conversely, if the image has not been accessed by the user within a preset time threshold, or the number of accesses is less than a preset number of times threshold, or the image has not been accessed by the user within a preset time threshold and the number of accesses is less than a preset
  • the number of times threshold is judged to be that the user is not satisfied with the image.
  • Step S4 Correcting the shooting parameters of the camera of the mobile terminal according to the characteristic index parameter of the satisfactory image, so that the image captured by the camera is more in line with the requirements of the user.
  • This step specifically sets the shooting parameter of the camera to a characteristic index parameter of a satisfactory image or close to a characteristic index parameter of a satisfactory image.
  • the shooting parameters of the camera of the mobile terminal may be corrected according to the characteristic index parameter of the unsatisfactory image, so that the image captured by the camera is more in line with the requirements of the user.
  • the shooting parameter of the camera is set to be different from the feature index parameter of the unsatisfactory image or the parameter that is far from the feature index parameter of the unsatisfactory image.
  • there is an image whose characteristic indicator parameters are:
  • the user does not upload the above image to the social network, and rarely accesses the image in the gallery, and finally deletes the image. Then, the above-mentioned characteristic index parameter of the image can be considered as not meeting the user's preference range, and it is determined that the user is The image is not satisfactory.
  • the invention needs to strengthen the statistics and calculation of these characteristic index parameters, thereby actively modifying the shooting parameters of the camera.
  • this step also repeatedly corrects the shooting parameters until the ratio of the number of satisfactory images to the number of unsatisfactory images is greater than or equal to the preset proportional threshold. Or until the lifetime of the mobile terminal is greater than a preset time threshold. For example, until the ratio of the number of satisfactory images to the number of unsatisfactory images is greater than or equal to four. Or the life of the mobile terminal is greater than or equal to 12 months.
  • the user will continuously take a new image, and the mobile terminal of the present invention continuously completes the correction learning of the camera parameters, so that the looping and reciprocating, after a long time, the analysis of the large-scale image makes the camera's shooting parameters more in line with the user's needs, thereby Directly capture the image that the user is satisfied with, eliminating the user's operation of filtering the image and improving the user experience.
  • the present invention also provides an image processing mobile terminal, which is suitable for the method described above, and please refer to FIG. 2 for details.
  • the mobile terminal 20 of the present embodiment includes a camera 21, a memory 22, and a processor 22, wherein the memory 22 is used to store program data, and the program data can be executed by the processor 23 to: acquire each of the following: The characteristic index parameter of the image is then obtained, and the image is classified according to the operation instruction, and then the user is judged whether the image is satisfactory according to the classification of the image. If it is determined that the user is satisfied with the image, the characteristic index parameter according to the satisfactory image is determined. The shooting parameters of the camera of the mobile terminal are corrected so that the captured image is more in line with the user's requirements.
  • the image index parameters include a signal to noise ratio parameter, a dynamic range parameter, a sharpness parameter, a color accuracy parameter, and a white balance error parameter.
  • the specific parameters are as described above, and are not described here.
  • the processor 23 further saves the feature indicator parameters of the image locally in the mobile terminal and uploads to the cloud server.
  • the operation instruction includes the user uploading an image to a social network, such as WeChat, qq, Facebook, and Weibo, and the like, and further includes deleting the image and marking the image as a satisfactory image or an unsatisfactory image. It should be understood that any operation of the image by the user can be understood as an operation instruction, and the embodiment does not limit the operation instruction.
  • the processor 23 classifies the image as an already uploaded image, an deleted image, an image marked as satisfactory or unsatisfactory according to an operation instruction. Moreover, if the image is an uploaded image or an image marked as satisfactory, it is determined that the user is satisfied with the image, and if the image is an image that has been deleted or an image that is marked as unsatisfactory, it is determined that the user is not satisfied with the image.
  • the processor 23 may further acquire the access time of the user to the image, and classify the image according to the access time, or further obtain the number of times the user accesses the image, and classify the image according to the number of accesses, or further obtain the image.
  • the user's access time and number of visits to the image, and the images are classified according to the access time and number of times.
  • the image is accessed by the user within a preset time threshold, or the number of accesses is greater than or equal to a preset number of times threshold, or the image is accessed by the user within a preset time threshold and the number of accesses is greater than or equal to a preset
  • the number of times threshold determines that the user is satisfied with the image. Conversely, if the image has not been accessed by the user within a preset time threshold, or the number of accesses is less than a preset number of times threshold, or the image has not been accessed by the user within a preset time threshold and the number of accesses is less than a preset
  • the number of times threshold is judged to be that the user is not satisfied with the image.
  • the shooting parameters of the camera are corrected according to the characteristic index parameters of the satisfactory image or the characteristic index parameters of the unsatisfactory image.
  • the specific correction is as described above, and will not be described herein.
  • the embodiment further corrects the shooting parameters repeatedly until the ratio of the number of satisfactory images to the number of unsatisfactory images is greater than or equal to a preset proportional threshold, or until moving.
  • the lifetime of the terminal is greater than the preset time threshold.
  • the present invention also provides a storage device, as shown in Figure 3, for storing program data, the program data being executable to implement the method described above.
  • the present invention can save the user from the operation of screening images, thereby saving the user's time and improving the user's experience.

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Abstract

本发明公开了一种存储装置、移动终端及其图像处理方法。该图像处理方法包括以下步骤：获取每张图像的特征指标参数；获取操作指令，并根据操作指令对图像进行分类；根据图像的分类判断用户对图像是否满意；若判断为用户对图像为满意，则根据满意的图像的特征指标参数对移动终端的摄像头的拍摄参数进行修正，使得其拍摄的图像更符合用户的要求。因此，本发明可直接得到用户满意的图像，省去用户筛选的时间，从而提高用户的体验。

Description

存储装置、移动终端及其图像处理方法 【技术领域】
本发明涉及图像处理技术领域，尤其是涉及一种存储装置、移动终端及其图像处理方法。
【背景技术】
智能移动终端，如智能手机的普及极大地方便了人们对这个世界的记录，比如可以通过手机将感兴趣的景物拍摄记录下来。有时候用户拍摄了多个图像后想找出满意的图像进行保存或分享，通常此时用户需要从拍摄的多张图像，例如几十张或者上百张图像中选出一些自己满意的，然后再打开相关的编辑软件，例如修图软件美化下这些图像，最后再进行分享图像。此过程耗时太长，特别是在用户急需图像时若要在多张图像中进行筛选则问题更为突出，降低用户体验。
【发明内容】
本发明主要解决的技术问题是提供一种存储装置、移动终端及其图像处理方法，可直接得到用户满意的图像，省去用户筛选的时间，从而提高用户的体验。
为解决上述技术问题，本发明采用的一个技术方案是：提供一种存储装置，其中，所述存储装置用于存储程序数据，所述程序数据能够被执行以实现以下操作：
获取每张所述图像的特征指标参数；
获取操作指令，并根据所述操作指令对所述图像进行分类；
根据所述图像的分类判断用户对所述图像是否满意；
若判断为所述用户对所述图像为满意，则根据满意的所述图像的特征指标参数对移动终端的摄像头的拍摄参数进行修正，使得其拍摄的图像更符合用户的要求；
所述程序数据被执行进一步实现以下操作：
反复对所述拍摄参数进行修正，直到满意的所述图像的数量与所述不满意的所述图像的数量之比大于或等于预设的比例阈值，或者直到所述移动终端的寿命大于或等于预设时间阈值。
为解决上述技术问题，本发明采用的另一个技术方案是：提供一种移动终端的图像处理方法，该图像处理方法包括以下步骤：
获取每张图像的特征指标参数；
获取操作指令，并根据操作指令对图像进行分类；
根据图像的分类判断用户对图像是否满意；
若判断为用户对图像为满意，则根据满意的图像的特征指标参数对移动终端的摄像头的拍摄参数进行修正，使得其拍摄的图像更符合用户的要求。
为解决上述技术问题，本发明采用的又一个技术方案是：提供一种图像处理的移动终端，该移动终端包括摄像头、存储器和处理器，其中存储器用于存储程序数据，程序数据能够被处理器执行以实现以下操作：
获取每张图像的特征指标参数；
获取操作指令，并根据操作指令对图像进行分类；
根据图像的分类判断用户对图像是否满意；
若判断为用户对图像为满意，则根据满意的图像的特征指标参数对移动终端的摄像头的拍摄参数进行修正，使得其拍摄的图像更符合用户的要求。
本发明的有益效果是：区别于现有技术的情况，本发明提供一种存储装置、移动终端及其图像处理方法。该图像处理方法包括以下步骤：首先获取每张图像的特征指标参数，然后获取操作指令，并根据操作指令对图像进行 分类，进而根据图像的分类判断用户对图像是否满意，若判断为用户对图像为满意，则根据满意的图像的特征指标参数对移动终端的摄像头的拍摄参数进行修正，使得其拍摄的图像更符合用户的要求。由此基于用户对图像的操作指令来完成摄像头的拍摄参数的学习及修正，可以免去筛选不满意的图像的操作，节省了时间，从而提高用户的体验。
【附图说明】
图1是本发明实施例提供的一种移动终端的图像处理方法的流程示意图；
图2是本发明实施例提供的一种图像处理的移动终端的结构示意图；
图3是本发明实施例提供的一种存储装置的结构示意图。
【具体实施方式】
下面将对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
本申请中的术语“第一”、“第二”仅用于描述目的，而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量。由此，限定有“第一”、“第二”的特征可以明示或者隐含地包括至少一个该特征。本申请的描述中，“多个”的含义是至少两个，例如两个，三个等，除非另有明确具体的限定。本申请实施例中所有方向性指示(诸如上、下、左、右、前、后……)仅用于解释在某一特定姿态(如附图所示)下各部件之间的相对位置关系、运动情况等，如果该特定姿态发生改变时，则该方向性指示也相应地随之改变。此外，术语“包括”和“具有”以及它们任何变形，意图在于覆盖不排他的包含。例如包含了一系列步骤或部件的过程、方法、系统、产品或设备，没有限定于已列 出的步骤或部件，而是可选地还包括没有列出的步骤或部件，或可选地还包括对于这些过程、方法、产品或设备固有的其它步骤或部件。
在本文中提及“实施例”意味着，结合实施例描述的特定特征、结构或特性可以包含在本申请的至少一个实施例中。在说明书中的各个位置出现该短语并不一定均是指相同的实施例，也不是与其它实施例互斥的独立的或备选的实施例。本领域技术人员显式地和隐式地理解的是，本文所描述的实施例可以与其它实施例相结合。
请参阅图1，图1是本发明实施例提供的一种移动终端的图像处理方法的流程示意图。如图1所示，本实施例的移动终端的图像处理方法以下步骤：
步骤S1：获取每张图像的特征指标参数。其中，图像包括图片和视频格式。
图像的特征指标参数包括信噪比参数(PSNR(dB))、动态范围参数(Dynamic range)、清晰度参数(Resolution)、色彩精准度参数(Color accuracy)以及白平衡误差参数(AWB error)。具体指标参数如下表1。
表1：图像的特征指标参数
Figure PCTCN2018087981-appb-000001
Figure PCTCN2018087981-appb-000002
本步骤进一步将图像的特征指标参数保存在移动终端的本地及上传到云 服务器中。
步骤S2：获取操作指令，并根据操作指令对图像进行分类。其中，操作指令包括用户上传图像到社交网络，如微信、qq、Facebook以及微博等，还包括删除图像以及标记图像为满意图像或不满意图像等操作。应理解，凡是用户对图像的操作动作都可以理解为操作指令，本实施例不对操作指令作限制。
本步骤具体为根据操作指令对图像分类为已被上传的图像、已被删除的图像、标记为满意或不满意的图像。
本步骤还可以进一步获取用户对图像的访问时间，并根据该访问时间来对图像进行分类。
本步骤还可进一步获取用户对图像的访问次数，并根据访问次数来对图像进行分类。
本步骤还可进一步获取用户对图像的访问时间和访问次数，并根据访问时间和次数对图像进行分类。
步骤S3：根据图像的分类判断用户对图像是否满意。
若图像为已被上传的图像或者标记为满意的图像，则判断用户对图像满意，若图像为已被删除的图像或者标记为不满意的图像，则判断用户对图像不满意。
进一步的，若图像在预设的时间阈值内被用户访问过，或者访问的次数大于或等于预设的次数阈值，或者图像在预设的时间阈值内被用户访问过且访问的次数大于或等于预设的次数阈值，则判断为用户对图像满意。相反的，若图像在预设的时间阈值内未被用户访问过，或者访问的次数小于预设的次数阈值，或者图像在预设的时间阈值内未被用户访问过且访问的次数小于预设的次数阈值，则判断为用户对图像不满意。
步骤S4：根据满意的图像的特征指标参数对移动终端的摄像头的拍摄参 数进行修正，使得其拍摄的图像更符合用户的要求。
本步骤具体为将摄像头的拍摄参数设置为满意的图像的特征指标参数或者与满意的图像的特征指标参数靠近。
在其他实施例中，还可为根据不满意的图像的特征指标参数对移动终端的摄像头的拍摄参数进行修正，使得其拍摄的图像更符合用户的要求。具体为将摄像头的拍摄参数设置为不同于不满意的图像的特征指标参数或者与不满意的图像的特征指标参数远离的参数。例如，存在一个图像，其特征指标参数为：
PSNR(dB)(信噪比)＝45；
Dynamic range(动态范围)＝210；
Resolution(清晰度)＝22；
Color accuracy(色彩精准度)＝10；
AWB error(白平衡误差)＝0.5。
用户没有把上述的图像上传社交网络，在图库中也很少访问这个图像，最终删除了这个图像，那么这个图像的上述特征指标参数都可认为不符合该用户的喜好范围，判断为用户对该图像不满意。本发明就是需要加强这些特征指标参数的统计和计算，进而主动修改摄像头的拍摄参数。
为了提高对拍摄参数修正的准确度，本步骤还会反复对拍摄参数进行修正，直到满意的图像的数量与不满意的图像的数量之比大于或等于预设的比例阈值。或者直到移动终端的寿命大于预设时间阈值。例如直到满意的图像与不满意的图像的数量之比大于或等于4。或者移动终端的寿命大于或等于12个月。
用户会不断的拍摄新的图像，本发明的移动终端不断的完成摄像头参数的修正学习，如此循环往复，经过长时间，大批量图像的分析，使得摄像头的拍摄参数更加符合用户的需求，从而可直接拍摄出用户满意的图像，免去 用户筛选图像的操作，提高用户的体验。
本发明还提供了一种图像处理的移动终端，该移动终端适用于前文所述的方法，具体请参阅图2。
如图2所示，本实施例的移动终端20包括摄像头21、存储器22和处理器22，其中存储器22用于存储程序数据，程序数据能够被处理器23执行以实现以下操作：首先获取每张图像的特征指标参数，然后获取操作指令，并根据操作指令对图像进行分类，进而根据图像的分类判断用户对图像是否满意，若判断为用户对图像为满意，则根据满意的图像的特征指标参数对移动终端的摄像头的拍摄参数进行修正，使得其拍摄的图像更符合用户的要求。
其中，图像的特征指标参数包括信噪比参数、动态范围参数、清晰度参数、色彩精准度参数以及白平衡误差参数。具体参数如前文所述，在此不再赘述。
本实施例中，处理器23进一步将图像的特征指标参数保存在移动终端的本地及上传到云服务器中。
本实施例中，操作指令包括用户上传图像到社交网络，如微信、qq、Facebook以及微博等，还包括删除图像以及标记图像为满意图像或不满意图像等操作。应理解，凡是用户对图像的操作动作都可以理解为操作指令，本实施例不对操作指令作限制。
处理器23根据操作指令对图像分类为已被上传的图像、已被删除的图像、标记为满意或不满意的图像。并且，若图像为已被上传的图像或者标记为满意的图像，则判断用户对图像满意，若图像为已被删除的图像或者标记为不满意的图像，则判断用户对图像不满意。
其中，处理器23还可以进一步获取用户对图像的访问时间，并根据该访问时间来对图像进行分类，或者进一步获取用户对图像的访问次数，并根据访问次数来对图像进行分类，或者进一步获取用户对图像的访问时间和访问 次数，并根据访问时间和次数对图像进行分类。
若图像在预设的时间阈值内被用户访问过，或者访问的次数大于或等于预设的次数阈值，或者图像在预设的时间阈值内被用户访问过且访问的次数大于或等于预设的次数阈值，则判断为用户对图像满意。相反的，若图像在预设的时间阈值内未被用户访问过，或者访问的次数小于预设的次数阈值，或者图像在预设的时间阈值内未被用户访问过且访问的次数小于预设的次数阈值，则判断为用户对图像不满意。
在得到满意和不满意的图像后，根据满意的图像的特征指标参数或不满意的图像的特征指标参数对摄像头的拍摄参数进行修正，具体修正如前文所述，在此不再赘述。
为了提高摄像头的拍摄参数修正的准确度，本实施例还进一步反复对拍摄参数进行修正，直到满意的图像的数量与不满意的图像的数量之比大于或等于预设的比例阈值，或者直到移动终端的寿命大于预设时间阈值。具体说明如前文所述，在此不再赘述。
本发明还提供了一种存储装置，如图3所示，存储装置30用于存储程序数据，程序数据能够被执行以实现前文所述的方法。
综上所述，本发明能够使得用户免去筛选图像的操作，从而节省用户的时间，提高用户的体验。
以上所述仅为本申请的实施方式，并非因此限制本申请的专利范围，凡是利用本申请说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本申请的专利保护范围内。

Claims (12)

  1. 一种存储装置，其中，所述存储装置用于存储程序数据，所述程序数据能够被执行以实现以下操作：
    获取每张所述图像的特征指标参数；
    获取操作指令，并根据所述操作指令对所述图像进行分类；
    根据所述图像的分类判断用户对所述图像是否满意；
    若判断为所述用户对所述图像为满意，则根据满意的所述图像的特征指标参数对移动终端的摄像头的拍摄参数进行修正，使得其拍摄的图像更符合用户的要求；
    所述程序数据被执行进一步实现以下操作：
    反复对所述拍摄参数进行修正，直到满意的所述图像的数量与所述不满意的所述图像的数量之比大于或等于预设的比例阈值，或者直到所述移动终端的寿命大于或等于预设时间阈值。
  2. 根据权利要求1所述的存储装置，其中，所述图像的特征指标参数包括信噪比参数、动态范围参数、清晰度参数、色彩精准度参数以及白平衡误差参数；
  3. 根据权利要求1所述的存储装置，其中，所述程序数据被执行进一步实现以下操作：
    根据所述操作指令对所述图像分类为已被上传的图像、已被删除的图像、标记为满意或不满意的图像；
    若所述图像为所述已被上传的图像或者标记为满意的图像，则判断所述用户对所述图像满意；
    若所述图像为已被删除的图像或者标记为不满意的图像，则判断所述用户对所述图像不满意。
  4. 一种移动终端的图像处理方法，其中，所述图像处理方法包括以下步 骤：
    获取每张所述图像的特征指标参数；
    获取操作指令，并根据所述操作指令对所述图像进行分类；
    根据所述图像的分类判断用户对所述图像是否满意；
    若判断为所述用户对所述图像为满意，则根据满意的所述图像的特征指标参数对所述移动终端的摄像头的拍摄参数进行修正，使得其拍摄的图像更符合用户的要求。
  5. 根据权利要求4所述的图像处理方法，其中，所述图像的特征指标参数包括信噪比参数、动态范围参数、清晰度参数、色彩精准度参数以及白平衡误差参数。
  6. 根据权利要求4所述的图像处理方法，其中，所述根据所述操作指令对所述图像进行分类包括：
    根据所述操作指令对所述图像分类为已被上传的图像、已被删除的图像、标记为满意或不满意的图像；
    所述根据所述图像的分类判断用户对所述图像是否满意包括：
    若所述图像为所述已被上传的图像或者标记为满意的图像，则判断所述用户对所述图像满意；
    若所述图像为已被删除的图像或者标记为不满意的图像，则判断所述用户对所述图像不满意。
  7. 根据权利要求4所述的图像处理方法，其中，所述根据所述满意的图像的特征指标参数对所述移动终端的摄像头的拍摄参数进行修正包括：
    反复对所述拍摄参数进行修正，直到满意的所述图像的数量与所述不满意的所述图像的数量之比大于或等于预设的比例阈值。
  8. 根据权利要求4所述的图像处理方法，其中，所述根据所述满意的图像的特征指标参数对所述移动终端的摄像头的拍摄参数进行修正包括：
    反复对所述拍摄参数进行修正，直到所述移动终端的寿命大于或等于预设时间阈值。
  9. 一种图像处理的移动终端，其中，所述移动终端包括摄像头、存储器和处理器，其中存储器用于存储程序数据，所述程序数据能够被处理器执行以实现以下操作：
    获取每张所述图像的特征指标参数；
    获取操作指令，并根据所述操作指令对所述图像进行分类；
    根据所述图像的分类判断用户对所述图像是否满意；若判断为所述用户对所述图像为满意，则根据满意的所述图像的特征指标参数对所述移动终端的摄像头的拍摄参数进行修正，使得其拍摄的图像更符合用户的要求。
  10. 根据权利要求9所述的移动终端，其中，所述图像的特征指标参数包括信噪比参数、动态范围参数、清晰度参数、色彩精准度参数以及白平衡误差参数。
  11. 根据权利要求9所述的移动终端，其中，所述程序数据被所述处理器执行进一步实现以下操作：
    根据所述操作指令对所述图像分类为已被上传的图像、已被删除的图像、标记为满意或不满意的图像；
    若所述图像为所述已被上传的图像或者标记为满意的图像，则判断所述用户对所述图像满意；
    若所述图像为已被删除的图像或者标记为不满意的图像，则判断所述用户对所述图像不满意。
  12. 根据权利要求9所述的移动终端，其中，所述程序数据被所述处理器执行进一步实现以下操作：
    反复对所述拍摄参数进行修正，直到满意的所述图像的数量与所述不满意的所述图像的数量之比大于或等于预设的比例阈值，或者直到所述移动终 端的寿命大于或等于预设时间阈值。
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