Abstract:
A method includes: after a panorama shooting instruction triggered by a user is acquired, shooting a first image, and acquiring a shooting parameter of the first image; determining move guiding information according to a preset move guiding policy, and displaying the move guiding information on a terminal, so as to instruct the user to move the terminal according to the move guiding information; shooting a preset quantity of images according to the shooting parameter of the first image after it is detected that the terminal moves, where the preset quantity of images are background images on both the left and right sides of a background corresponding to the first image; and performing, by using the first image as a center and by using a preset splicing scheme, seamless splicing on the first image and the preset quantity of images, to obtain a panoramic image.
Abstract:
A method includes: after a panorama shooting instruction triggered by a user is acquired, shooting a first image, and acquiring a shooting parameter of the first image; determining move guiding information according to a preset move guiding policy, and displaying the move guiding information on a terminal, so as to instruct the user to move the terminal according to the move guiding information; shooting a preset quantity of images according to the shooting parameter of the first image after it is detected that the terminal moves, where the preset quantity of images are background images on both the left and right sides of a background corresponding to the first image; and performing, by using the first image as a center and by using a preset splicing scheme, seamless splicing on the first image and the preset quantity of images, to obtain a panoramic image.
Abstract:
A scene recognition method includes acquiring an image and sensor data corresponding to the image and determining, in accordance with the sensor data, whether a scene of the image is a non-high-dynamic range (HDR) scene. The method also includes extracting an image feature of the image when it is not determined whether the scene of the image is the non-HDR scene and determining, in accordance with the image feature, whether the scene of the image is an HDR scene.
Abstract:
The present invention provides a photographing method for a dual-lens device. The dual-lens device includes a first lens and a second lens that are arranged on a same plane. The photographing method includes acquiring a first image collected by a first image sensor; identifying a scenario of the first image to determine a photographing environment, determining a second image signal processor (ISP) parameter corresponding to the second lens; acquiring a second image that is collected, according to the second ISP parameter, and generating a preview image. According to the present invention, a photographing environment is determined by using an image collected by one lens of the dual-lens device, and then a preview image is generated by using an image collected by the other lens.
Abstract:
An image processing method and apparatus, and a shooting terminal, where the method includes acquiring a to-be-processed image that is shot but is not image-processed; extracting shooting characteristic information of the to-be-processed image; performing image processing on the to-be-processed image according to the shooting characteristic information. In this way, after acquiring a to-be-processed image that is shot, a shooting terminal uses shooting characteristic information of the to-be-processed image as a basis of adaptive processing of the image, and performs processing on each to-be-processed image according to shooting characteristic information of each to-be-processed image, so that the quality of an image that is obtained after being processed by the shooting terminal can be adaptively improved.
Abstract:
A backlight detection method and device, and the method includes acquiring a brightness value of each image block in a to-be-checked image, determining a brightness relationship between the adjacent image blocks according to the brightness value of each image block; and determining a dark region and a bright region in the to-be-checked image according to the brightness relationship between the adjacent image blocks, and determining whether the to-be-checked image is a backlight scenario according to the dark region and the bright region. The backlight detection method and device provided by the embodiments of the present invention can improve accuracy of backlight detection.
Abstract:
An image processing method and apparatus, and a shooting terminal, where the method includes acquiring a to-be-processed image that is shot but is not image-processed; extracting shooting characteristic information of the to-be-processed image; performing image processing on the to-be-processed image according to the shooting characteristic information. In this way, after acquiring a to-be-processed image that is shot, a shooting terminal uses shooting characteristic information of the to-be-processed image as a basis of adaptive processing of the image, and performs processing on each to-be-processed image according to shooting characteristic information of each to-be-processed image, so that the quality of an image that is obtained after being processed by the shooting terminal can be adaptively improved.
Abstract:
A backlight detection method and device, and the method includes acquiring a brightness value of each image block in a to-be-checked image, determining a brightness relationship between the adjacent image blocks according to the brightness value of each image block; and determining a dark region and a bright region in the to-be-checked image according to the brightness relationship between the adjacent image blocks, and determining whether the to-be-checked image is a backlight scenario according to the dark region and the bright region. The backlight detection method and device provided by the embodiments of the present invention can improve accuracy of backlight detection.