CN111970501A - Pure color scene AE color processing method and device, electronic equipment and storage medium - Google Patents
Pure color scene AE color processing method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN111970501A CN111970501A CN202010837446.5A CN202010837446A CN111970501A CN 111970501 A CN111970501 A CN 111970501A CN 202010837446 A CN202010837446 A CN 202010837446A CN 111970501 A CN111970501 A CN 111970501A
- Authority
- CN
- China
- Prior art keywords
- image
- pure
- data
- ratio
- color
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 14
- ORFSSYGWXNGVFB-UHFFFAOYSA-N sodium 4-amino-6-[[4-[4-[(8-amino-1-hydroxy-5,7-disulfonaphthalen-2-yl)diazenyl]-3-methoxyphenyl]-2-methoxyphenyl]diazenyl]-5-hydroxynaphthalene-1,3-disulfonic acid Chemical compound COC1=C(C=CC(=C1)C2=CC(=C(C=C2)N=NC3=C(C4=C(C=C3)C(=CC(=C4N)S(=O)(=O)O)S(=O)(=O)O)O)OC)N=NC5=C(C6=C(C=C5)C(=CC(=C6N)S(=O)(=O)O)S(=O)(=O)O)O.[Na+] ORFSSYGWXNGVFB-UHFFFAOYSA-N 0.000 claims abstract description 43
- 239000007787 solid Substances 0.000 claims description 22
- 238000000034 method Methods 0.000 claims description 9
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/64—Circuits for processing colour signals
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Color Image Communication Systems (AREA)
- Facsimile Image Signal Circuits (AREA)
- Color Television Image Signal Generators (AREA)
Abstract
本发明公开了纯色场景AE色彩处理方法,包括如下步骤:获取图像的原始数据,根据原始数据计算得到RGB数据以及亮度值,所述RGB数据包括R数据、G数据以及B数据;根据所述RGB数据判断所述图像是否为纯红图像、纯绿图像、纯蓝图像中的一种,若是则根据与纯红图像对应的R数据或者纯绿图像对应的G数据或者纯蓝图像对应的B数据处理得到自动曝光目标值,否则,根据亮度值处理为自动曝光目标值。本发明通过识别图像是否为纯色图像,并在图像是纯色图像的情况下,调用该纯色场景的彩色量作为处理自动曝光目标值的基础,替代现有技术所运用的亮度值,可以有效改善现有技术中纯色场景的图片亮度偏高、色彩信息丢失、用户体验差的问题。
The invention discloses an AE color processing method for a pure color scene. The data determines whether the image is one of a pure red image, a pure green image, and a pure blue image, and if so, according to the R data corresponding to the pure red image or the G data corresponding to the pure green image or the B data corresponding to the pure blue image The automatic exposure target value is obtained by processing, otherwise, it is processed as the automatic exposure target value according to the brightness value. By identifying whether the image is a solid-color image, and in the case of a solid-color image, the present invention calls the color volume of the solid-color scene as the basis for processing the automatic exposure target value, and replaces the brightness value used in the prior art, thereby effectively improving the image quality. There are technical problems such as high brightness, loss of color information, and poor user experience in pure color scenes.
Description
技术领域technical field
本发明涉及图像处理技术领域,尤其涉及纯色场景AE色彩处理方法、装置、电子设备及存储介质。The present invention relates to the technical field of image processing, and in particular, to a method, device, electronic device and storage medium for AE color processing of solid color scenes.
背景技术Background technique
智能相机是当今智能终端最广泛使用的一种配置。实际上就是感光元件把光信号转换成电信号,供支持其技术的相关处理算法接收并处理。整个信号的处理形成一个流。相同的摄像机传感元件采集的信号输出经过不同的处理算法后会形成不同的图像处理效果。Smart cameras are the most widely used configuration of today's smart terminals. In fact, it is the photosensitive element that converts the optical signal into an electrical signal, which is received and processed by the relevant processing algorithms that support its technology. The processing of the entire signal forms a stream. The signal output collected by the same camera sensor element will form different image processing effects after different processing algorithms.
当前主流手机内都有集成主控芯片,内置有摄像机图像处理算法,具体可大致分为AE(自动曝光),AWB(自动白平衡),AF(自动对焦),sharpness(清晰度)/denoise(去噪)算法等。Currently mainstream mobile phones have integrated main control chips with built-in camera image processing algorithms, which can be roughly divided into AE (auto exposure), AWB (auto white balance), AF (auto focus), sharpness (sharpness)/denoise ( denoising) algorithm, etc.
当前的AE处理流程包括通过摄像机传感元件采集色彩图像,从中获取其亮度参数,从而计算到亮度目标值,AE算法则是根据该亮度目标值进行统计收敛计算。这种做法对于大多数场景都有很好的覆盖性,但是对于大面积的纯色场景就会显示出局限性,往往体现出的亮度不符合人眼主观需求,变得过亮或者过暗。例如图片的亮度值是130,像素值为245,现有的方式是将130的数值用AE算法计算,得到的AE目标值是偏大的,导致这个场景所生成的图片的亮度比实际人眼所见的要高,损失色彩细节,降低了用户体验。The current AE processing flow includes collecting a color image through the camera sensor element, obtaining its brightness parameter from it, and then calculating the brightness target value. The AE algorithm performs statistical convergence calculation based on the brightness target value. This approach has good coverage for most scenes, but it will show limitations for large-area solid-color scenes, and the brightness often reflected does not meet the subjective needs of the human eye, becoming too bright or too dark. For example, the brightness value of the picture is 130 and the pixel value is 245. The existing method is to calculate the value of 130 with the AE algorithm, and the obtained AE target value is too large, resulting in the brightness of the picture generated by this scene than the actual human eye. Seen is higher, loses color detail, and degrades the user experience.
发明内容SUMMARY OF THE INVENTION
为了克服现有技术的不足,本发明的目的之一在于提供纯色场景AE色彩处理方法,其能解决现有技术中图片色彩损失大,用户体验差的问题。In order to overcome the deficiencies of the prior art, one of the objectives of the present invention is to provide a method for processing AE color of a solid color scene, which can solve the problems of large color loss of pictures and poor user experience in the prior art.
本发明的目的之二在于提供纯色场景AE色彩处理装置,其能解决现有技术中图片色彩损失大,用户体验差的问题。The second purpose of the present invention is to provide a pure color scene AE color processing device, which can solve the problems of large color loss of pictures and poor user experience in the prior art.
本发明的目的之三在于提供一种电子设备,其能解决现有技术中图片色彩损失大,用户体验差的问题。The third object of the present invention is to provide an electronic device, which can solve the problems of large color loss of pictures and poor user experience in the prior art.
本发明的目的之四在于提供一种存储介质,其能解决现有技术中图片色彩损失大,用户体验差的问题。The fourth purpose of the present invention is to provide a storage medium, which can solve the problems of large color loss of pictures and poor user experience in the prior art.
本发明的目的之一采用以下技术方案实现:One of the objects of the present invention adopts the following technical solutions to realize:
纯色场景AE色彩处理方法,包括如下步骤:The AE color processing method for solid color scenes includes the following steps:
获取图像的原始数据,根据原始数据计算得到RGB数据以及亮度值,所述RGB数据包括R数据、G数据以及B数据;Obtain the original data of the image, calculate and obtain RGB data and luminance value according to the original data, and described RGB data includes R data, G data and B data;
根据所述RGB数据判断所述图像是否为纯红图像、纯绿图像、纯蓝图像中的一种,若是则根据与纯红图像对应的R数据或者纯绿图像对应的G数据或者纯蓝图像对应的B数据处理得到自动曝光目标值,否则,根据亮度值处理为自动曝光目标值。According to the RGB data, determine whether the image is one of a pure red image, a pure green image, and a pure blue image, and if so, according to the R data corresponding to the pure red image or the G data corresponding to the pure green image or the pure blue image The corresponding B data is processed to obtain the automatic exposure target value, otherwise, it is processed as the automatic exposure target value according to the brightness value.
优选的,“根据所述RGB数据判断所述图像是否为纯红图像、纯绿图像、纯蓝图像中的一种”具体为:Preferably, "judging whether the image is one of a pure red image, a pure green image, and a pure blue image according to the RGB data" is specifically:
计算R数据与G数据的第一比值,以及B数据与G数据的第二比值,根据第一比值和第二比值判断所述图像是否为纯红图像、纯绿图像、纯蓝图像中的一种。Calculate the first ratio of the R data to the G data, and the second ratio of the B data to the G data, and determine whether the image is one of a pure red image, a pure green image, and a pure blue image according to the first ratio and the second ratio. kind.
优选的,当第一比值大于第一阈值,且第二比值小于第二阈值,则定义图像为纯红图像;当第一比值大于第一阈值,且第二比值大于第二阈值,则定于图像为纯蓝图像;当第一比值小于第一阈值,且第二比值小于第二阈值,则定义图像为纯绿图像。Preferably, when the first ratio is greater than the first threshold and the second ratio is less than the second threshold, the image is defined as a pure red image; when the first ratio is greater than the first threshold and the second ratio is greater than the second threshold, the image is defined as The image is a pure blue image; when the first ratio is less than the first threshold and the second ratio is less than the second threshold, the image is defined as a pure green image.
优选的,获取图像的原始数据之后,还执行如下步骤:Preferably, after acquiring the original data of the image, the following steps are also performed:
将图像以预设尺寸分割为若干个目标区域,并获取每一个目标区域对应的RGB数据以及亮度值;Divide the image into several target areas with a preset size, and obtain the RGB data and brightness value corresponding to each target area;
“根据所述RGB数据判断所述图像是否为纯红图像、纯绿图像、纯蓝图像中的一种,若是则根据与纯红图像对应的R数据或者纯绿图像对应的G数据或者纯蓝图像对应的B数据处理得到自动曝光目标值”具体为“根据每一个目标区域对应的所述RGB数据判断所述该目标区域是否为纯红图像、纯绿图像、纯蓝图像中的一种,若是则根据与纯红图像对应的R数据或者纯绿图像对应的G数据或者纯蓝图像对应的B数据处理得到该目标区域的自动曝光目标值”。"According to the RGB data, determine whether the image is one of a pure red image, a pure green image, and a pure blue image, and if so, according to the R data corresponding to the pure red image or the G data corresponding to the pure green image or the pure blue image The B data corresponding to the image is processed to obtain the automatic exposure target value" is specifically "judging whether the target area is one of a pure red image, a pure green image, and a pure blue image according to the RGB data corresponding to each target area, If so, the automatic exposure target value of the target area is obtained by processing according to the R data corresponding to the pure red image or the G data corresponding to the pure green image or the B data corresponding to the pure blue image.
优选的,所述预设尺寸为200*150。Preferably, the preset size is 200*150.
本发明的目的之二采用以下技术方案实现:The second purpose of the present invention adopts the following technical solutions to realize:
一种纯色场景AE色彩处理装置,包括如下单元:An AE color processing device for a solid color scene, comprising the following units:
数据获取单元:被配置于获取图像的原始数据,根据原始数据计算得到RGB数据以及亮度值,所述RGB数据包括R数据、G数据以及B数据;Data acquisition unit: be configured to acquire the original data of the image, and obtain RGB data and brightness value by calculating according to the original data, and the RGB data includes R data, G data and B data;
处理判断单元:被配置于根据所述RGB数据判断所述图像是否为纯红图像、纯绿图像、纯蓝图像中的一种,若是则根据与纯红图像对应的R数据或者纯绿图像对应的G数据或者纯蓝图像对应的B数据处理得到自动曝光目标值,否则,根据亮度值处理为自动曝光目标值。Processing and judgment unit: configured to judge whether the image is one of a pure red image, a pure green image, and a pure blue image according to the RGB data, and if so, according to the R data corresponding to the pure red image or the pure green image. The G data or the B data corresponding to the pure blue image is processed to obtain the automatic exposure target value, otherwise, the automatic exposure target value is processed according to the brightness value.
优选的,处理判断单元中,“根据所述RGB数据判断所述图像是否为纯红图像、纯绿图像、纯蓝图像中的一种”具体为:Preferably, in the processing and judging unit, "judging whether the image is one of a pure red image, a pure green image, and a pure blue image according to the RGB data" is specifically:
计算R数据与G数据的第一比值,以及B数据与G数据的第二比值,根据第一比值和第二比值判断所述图像是否为纯红图像、纯绿图像、纯蓝图像中的一种。Calculate the first ratio of the R data to the G data, and the second ratio of the B data to the G data, and determine whether the image is one of a pure red image, a pure green image, and a pure blue image according to the first ratio and the second ratio. kind.
优选的,当第一比值大于第一阈值,且第二比值小于第二阈值,则定义图像为纯红图像;当第一比值大于第一阈值,且第二比值大于第二阈值,则定于图像为纯蓝图像;当第一比值小于第一阈值,且第二比值小于第二阈值,则定义图像为纯绿图像。Preferably, when the first ratio is greater than the first threshold and the second ratio is less than the second threshold, the image is defined as a pure red image; when the first ratio is greater than the first threshold and the second ratio is greater than the second threshold, the image is defined as The image is a pure blue image; when the first ratio is less than the first threshold and the second ratio is less than the second threshold, the image is defined as a pure green image.
本发明的目的之三采用以下技术方案实现:The third purpose of the present invention adopts the following technical solutions to realize:
一种电子设备,其上设有存储器、处理器以及存储在存储器中并可被处理器执行的计算机可读程序,其特征在于,所述计算机可读程序被处理器执行时,实现如本发明所述的纯色场景AE色彩处理方法。An electronic device provided with a memory, a processor, and a computer-readable program stored in the memory and executed by the processor, characterized in that, when the computer-readable program is executed by the processor, the invention can be implemented as described in the present invention. The AE color processing method for the solid color scene.
本发明的目的之四采用以下技术方案实现:The fourth purpose of the present invention adopts the following technical solutions to realize:
一种存储介质,其上存储有可被处理器执行的计算机可读程序,其特征在于,所述计算机可读程序被处理器执行时,实现如本发明所述的纯色场景AE色彩处理方法。A storage medium on which a computer-readable program executable by a processor is stored, characterized in that when the computer-readable program is executed by the processor, the AE color processing method for a solid color scene according to the present invention is implemented.
相比现有技术,本发明的有益效果在于:Compared with the prior art, the beneficial effects of the present invention are:
本发明通过识别图像是否为纯色图像,并在图像是纯色图像的情况下,调用该纯色场景的彩色量作为处理自动曝光目标值的基础,替代现有技术所运用的亮度值,可以有效改善现有技术中纯色场景的图片亮度偏高、色彩信息丢失、用户体验差的问题。By identifying whether the image is a solid-color image, and in the case of a solid-color image, the present invention calls the color volume of the solid-color scene as the basis for processing the automatic exposure target value, instead of the brightness value used in the prior art, and can effectively improve the image quality. There are technical problems such as high brightness, loss of color information, and poor user experience in pure color scenes.
附图说明Description of drawings
图1为本发明的纯色场景AE色彩处理方法的流程图。FIG. 1 is a flowchart of a method for processing AE color of a solid color scene according to the present invention.
具体实施方式Detailed ways
下面,结合附图以及具体实施方式,对本发明做进一步描述:Below, in conjunction with accompanying drawing and specific embodiment, the present invention is further described:
实施例一Example 1
如图1所示,本发明提供一种纯色场景AE色彩处理方法,具体包括如下步骤:As shown in FIG. 1 , the present invention provides a method for processing AE color of solid color scene, which specifically includes the following steps:
S1:获取图像的原始数据;S1: Get the original data of the image;
S2:根据原始数据计算得到RGB数据以及亮度值,所述RGB数据包括R数据、G数据以及B数据;S2: Calculate and obtain RGB data and a luminance value according to the original data, where the RGB data includes R data, G data and B data;
S3:根据所述RGB数据判断所述图像是否为纯红图像、纯绿图像、纯蓝图像中的一种,若是则根据与纯红图像对应的R数据或者纯绿图像对应的G数据或者纯蓝图像对应的B数据处理得到自动曝光目标值,否则,根据亮度值处理为自动曝光目标值。S3: Determine whether the image is one of a pure red image, a pure green image, and a pure blue image according to the RGB data, and if so, according to the R data corresponding to the pure red image or the G data corresponding to the pure green image or the pure blue image The B data corresponding to the blue image is processed to obtain the automatic exposure target value, otherwise, the automatic exposure target value is processed according to the brightness value.
具体的,在S3步骤中,判断图像是否为纯红图像、纯绿图像、纯蓝图像中的一种的方式是计算R数据与G数据的第一比值,以及B数据与G数据的第二比值,根据第一比值和第二比值判断所述图像是否为纯红图像、纯绿图像、纯蓝图像中的一种。Specifically, in step S3, the way of judging whether the image is one of the pure red image, the pure green image, and the pure blue image is to calculate the first ratio between the R data and the G data, and the second ratio between the B data and the G data. A ratio, according to the first ratio and the second ratio to determine whether the image is one of a pure red image, a pure green image, and a pure blue image.
作为优选的实施方式,当第一比值大于第一阈值,且第二比值小于第二阈值,则定义图像为纯红图像;当第一比值大于第一阈值,且第二比值大于第二阈值,则定于图像为纯蓝图像;当第一比值小于第一阈值,且第二比值小于第二阈值,则定义图像为纯绿图像。第一阈值的数值例如设定为250。As a preferred embodiment, when the first ratio is greater than the first threshold and the second ratio is less than the second threshold, the image is defined as a pure red image; when the first ratio is greater than the first threshold and the second ratio is greater than the second threshold, Then the image is determined as a pure blue image; when the first ratio is less than the first threshold, and the second ratio is less than the second threshold, the image is defined as a pure green image. The numerical value of the first threshold is set to 250, for example.
作为优选的实施方式,在S1与S2之间还包括如下步骤:将图像以预设尺寸分割为若干个目标区域,并获取每一个目标区域对应的RGB数据以及亮度值。其中,所述预设尺寸优选为200*150。所述预设尺寸的单位为pixel(像素)数量,单位为个,As a preferred embodiment, the following steps are further included between S1 and S2: dividing the image into several target areas with a preset size, and acquiring RGB data and luminance values corresponding to each target area. Wherein, the preset size is preferably 200*150. The unit of the preset size is the number of pixels (pixels), and the unit is pieces,
“根据所述RGB数据判断所述图像是否为纯红图像、纯绿图像、纯蓝图像中的一种,若是则根据与纯红图像对应的R数据或者纯绿图像对应的G数据或者纯蓝图像对应的B数据处理得到自动曝光目标值”具体为“根据每一个目标区域对应的所述RGB数据判断所述该目标区域是否为纯红图像、纯绿图像、纯蓝图像中的一种,若是则根据与纯红图像对应的R数据或者纯绿图像对应的G数据或者纯蓝图像对应的B数据处理得到该目标区域的自动曝光目标值”。"According to the RGB data, determine whether the image is one of a pure red image, a pure green image, and a pure blue image, and if so, according to the R data corresponding to the pure red image or the G data corresponding to the pure green image or the pure blue image The B data corresponding to the image is processed to obtain the automatic exposure target value" is specifically "judging whether the target area is one of a pure red image, a pure green image, and a pure blue image according to the RGB data corresponding to each target area, If so, the automatic exposure target value of the target area is obtained by processing according to the R data corresponding to the pure red image or the G data corresponding to the pure green image or the B data corresponding to the pure blue image.
通过识别图像是否为纯色图像,并在图像是纯色图像的情况下,调用该纯色场景的彩色量作为处理自动曝光目标值的基础,替代现有技术所运用的亮度值,可以有效改善现有技术中纯色场景的图片亮度偏高、色彩信息丢失、用户体验差的问题。By identifying whether the image is a solid-color image, and when the image is a solid-color image, calling the color amount of the solid-color scene as the basis for processing the automatic exposure target value, instead of the brightness value used in the prior art, the prior art can be effectively improved. In the solid color scene, the picture brightness is too high, the color information is lost, and the user experience is poor.
实施例二Embodiment 2
本实施例提供一种纯色场景AE色彩处理装置,包括如下单元:This embodiment provides an AE color processing device for a solid color scene, including the following units:
数据获取单元:被配置于获取图像的原始数据,根据原始数据计算得到RGB数据以及亮度值,所述RGB数据包括R数据、G数据以及B数据;Data acquisition unit: be configured to acquire the original data of the image, and obtain RGB data and brightness value by calculating according to the original data, and the RGB data includes R data, G data and B data;
处理判断单元:被配置于根据所述RGB数据判断所述图像是否为纯红图像、纯绿图像、纯蓝图像中的一种,若是则根据与纯红图像对应的R数据或者纯绿图像对应的G数据或者纯蓝图像对应的B数据处理得到自动曝光目标值,否则,根据亮度值处理为自动曝光目标值。Processing and judgment unit: configured to judge whether the image is one of a pure red image, a pure green image, and a pure blue image according to the RGB data, and if so, according to the R data corresponding to the pure red image or the pure green image. The G data or the B data corresponding to the pure blue image is processed to obtain the automatic exposure target value, otherwise, the automatic exposure target value is processed according to the brightness value.
处理判断单元中,“根据所述RGB数据判断所述图像是否为纯红图像、纯绿图像、纯蓝图像中的一种”具体为:In the processing and judging unit, "judging whether the image is one of a pure red image, a pure green image, and a pure blue image according to the RGB data" is specifically:
计算R数据与G数据的第一比值,以及B数据与G数据的第二比值,根据第一比值和第二比值判断所述图像是否为纯红图像、纯绿图像、纯蓝图像中的一种。当第一比值大于第一阈值,且第二比值小于第二阈值,则定义图像为纯红图像;当第一比值大于第一阈值,且第二比值大于第二阈值,则定于图像为纯蓝图像;当第一比值小于第一阈值,且第二比值小于第二阈值,则定义图像为纯绿图像。Calculate the first ratio of the R data to the G data, and the second ratio of the B data to the G data, and determine whether the image is one of a pure red image, a pure green image, and a pure blue image according to the first ratio and the second ratio. kind. When the first ratio is greater than the first threshold and the second ratio is less than the second threshold, the image is defined as a pure red image; when the first ratio is greater than the first threshold and the second ratio is greater than the second threshold, the image is determined to be pure red Blue image; when the first ratio is less than the first threshold, and the second ratio is less than the second threshold, the image is defined as a pure green image.
实施例三Embodiment 3
本实施例提供一种电子设备,其上设有存储器、处理器以及存储在存储器中并可被处理器执行的计算机可读程序,其特征在于,所述计算机可读程序被处理器执行时,实现本发明所述的纯色场景AE色彩处理方法。This embodiment provides an electronic device, which is provided with a memory, a processor, and a computer-readable program stored in the memory and executed by the processor, characterized in that, when the computer-readable program is executed by the processor, The AE color processing method of the solid color scene according to the present invention is realized.
实施例四Embodiment 4
本实施例提供一种存储介质,其上存储有可被处理器执行的计算机可读程序,其特征在于,所述计算机可读程序被处理器执行时,实现如本发明任一项所述的纯色场景AE色彩处理方法。This embodiment provides a storage medium on which a computer-readable program executable by a processor is stored, characterized in that, when the computer-readable program is executed by the processor, the computer-readable program as described in any one of the present invention is implemented. Solid color scene AE color processing method.
对本领域的技术人员来说,可根据以上描述的技术方案以及构思,做出其它各种相应的改变以及形变,而所有的这些改变以及形变都应该属于本发明权利要求的保护范围之内。For those skilled in the art, various other corresponding changes and deformations can be made according to the technical solutions and concepts described above, and all these changes and deformations should fall within the protection scope of the claims of the present invention.
Claims (10)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010837446.5A CN111970501A (en) | 2020-08-19 | 2020-08-19 | Pure color scene AE color processing method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010837446.5A CN111970501A (en) | 2020-08-19 | 2020-08-19 | Pure color scene AE color processing method and device, electronic equipment and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN111970501A true CN111970501A (en) | 2020-11-20 |
Family
ID=73388880
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010837446.5A Pending CN111970501A (en) | 2020-08-19 | 2020-08-19 | Pure color scene AE color processing method and device, electronic equipment and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111970501A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113473035A (en) * | 2021-07-23 | 2021-10-01 | 北京字节跳动网络技术有限公司 | Ambient brightness determination method and device and electronic equipment |
CN114025095A (en) * | 2021-11-10 | 2022-02-08 | 维沃移动通信有限公司 | Brightness adjusting method and device and electronic equipment |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2013048319A (en) * | 2011-08-29 | 2013-03-07 | Ricoh Co Ltd | Imaging apparatus, imaging method and imaging program |
CN107438162A (en) * | 2017-07-31 | 2017-12-05 | 努比亚技术有限公司 | The method of adjustment and device of a kind of acquisition parameters |
-
2020
- 2020-08-19 CN CN202010837446.5A patent/CN111970501A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2013048319A (en) * | 2011-08-29 | 2013-03-07 | Ricoh Co Ltd | Imaging apparatus, imaging method and imaging program |
CN107438162A (en) * | 2017-07-31 | 2017-12-05 | 努比亚技术有限公司 | The method of adjustment and device of a kind of acquisition parameters |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113473035A (en) * | 2021-07-23 | 2021-10-01 | 北京字节跳动网络技术有限公司 | Ambient brightness determination method and device and electronic equipment |
CN114025095A (en) * | 2021-11-10 | 2022-02-08 | 维沃移动通信有限公司 | Brightness adjusting method and device and electronic equipment |
CN114025095B (en) * | 2021-11-10 | 2024-07-02 | 维沃移动通信有限公司 | Brightness adjustment method, device and electronic device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111028189B (en) | Image processing method, device, storage medium and electronic equipment | |
CN107888840B (en) | High dynamic range image acquisition method and device | |
CN108335279B (en) | Image fusion and HDR imaging | |
WO2019148912A1 (en) | Image processing method, apparatus, electronic device and storage medium | |
WO2019183813A1 (en) | Image capture method and device | |
US9934438B2 (en) | Scene recognition method and apparatus | |
CN109829859B (en) | Image processing method and terminal equipment | |
CN100553301C (en) | Brightness Correction Method | |
JP6615917B2 (en) | Real-time video enhancement method, terminal, and non-transitory computer-readable storage medium | |
CN112788251B (en) | Image brightness processing method and device, and image processing method and device | |
WO2018223394A1 (en) | Method and apparatus for photographing image | |
CN105635565A (en) | Shooting method and equipment | |
CN110445986B (en) | Image processing method, image processing device, storage medium and electronic equipment | |
CN103516984A (en) | Method and device for intelligently switching HDR mode of camera | |
US11496694B2 (en) | Dual sensor imaging system and imaging method thereof | |
CN110740266B (en) | Image frame selection method and device, storage medium and electronic equipment | |
CN110047060A (en) | Image processing method, device, storage medium and electronic device | |
CN114374793A (en) | Exposure control method, device, equipment and storage medium | |
WO2022151852A1 (en) | Image processing method, apparatus, and system, electronic device, and storage medium | |
CN114511461A (en) | Image processing method, electronic device, and computer-readable storage medium | |
CN111970501A (en) | Pure color scene AE color processing method and device, electronic equipment and storage medium | |
CN106488080A (en) | Method and apparatus for high dynamic range dynamic noise reduction in digital imaging | |
CN112488933A (en) | Video detail enhancement method and device, mobile terminal and storage medium | |
CN108520036B (en) | Image selection method and device, storage medium and electronic equipment | |
CN111885371A (en) | Image occlusion detection method and device, electronic equipment and computer readable medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |