Abstract: The present disclosure discloses a dual-core focusing image sensor, a focusing control method for the same and an electronic device. The dual-core focusing image sensor includes an array of photosensitive pixels, an array of filter units arranged on the array of photosensitive pixels and an array of micro lenses arranged above the array of filter units. The array of micro lenses includes at least one first micro lens and a plurality of second micro lenses, each second micro lens is corresponding to one photosensitive pixel, each first micro lens is corresponding to one focusing photosensitive unit, each focusing photosensitive unit includes N*N photosensitive pixels, and at least a part of the focusing photosensitive unit is covered by a white filter unit, where N is an even number greater than or equal to 2.

Abstract: An image-processing method, an apparatus and a device are provided. The method includes: controlling a primary camera to capture a plurality of primary images, and simultaneously controlling a secondary camera to capture a plurality of secondary images; obtaining a reference primary image from the primary images, and obtaining a reference secondary image co-captured with the reference primary image from the secondary images; starting a multithread-based parallel processing mechanism, calling a first thread to perform a multiframe-synthesizing noise-reduction process for the primary images so as to generate a target primary image, and simultaneously calling a second thread to obtain depth information according to the reference primary image and the reference primary image; and performing a blurring process for a background region of the target primary image according to the depth information. Thus, it improves the accuracy of calculating the depth information and the image-processing efficiency thereof.

Abstract: A method for image processing includes the following actions. After n frames of first images shot by a main camera are acquired and an auxiliary image shot by an auxiliary camera is acquired, synthetic noise reduction is performed on the n frames of first images to obtain a frame of main image. Depth information of the main image is further calculated according to the main image and the auxiliary image. Therefore, blurring processing is performed on the main image according to the depth information of the main image to obtain a required second image.

Abstract: The present disclosure provides an image processing method, and a device. The method includes controlling a first camera to capture a plurality of first images and controlling a second camera to capture a plurality of second images; acquiring a first reference image from the plurality of first images and acquiring a second reference image from the plurality of second images; performing composition and noise reduction processing on the plurality of primary images by a first thread to generate a composited and noise-reduced image and processing the composited and noise-reduced image according to a preset image processing strategy to generate a target image and acquiring depth of field information based on the first reference image and the second reference image by a second thread; and blurring a background region of the target image according to the depth of field information.

Abstract: A method for image processing and a mobile terminal, and a computer readable medium are disclosed. In one method, n number of first images and m number of second images are acquired. The first images and the second images are captured by a primary camera and a secondary camera respectively, and both the n and the m are integers greater than 2. A synthesizing-denoising process is performed on the n number of first images and the m number of second images respectively to obtain a primary image and a secondary image respectively. Depth information of the primary image is obtained based on the primary image and the secondary image. A blurring process for the primary image is then performed based on the depth information of the primary image to obtain a target image.

Abstract: A method and device for double-camera-based imaging are provided. The method includes the following actions. A first image is acquired by a main camera and a second image is acquired by an auxiliary camera. A main image resolution and an auxiliary image resolution are determined according to a determined shooting mode and resolutions of the main camera and the auxiliary camera respectively. The first image is converted into a main image with the main image resolution. The second image is converted into an auxiliary image with the auxiliary image resolution according to the second image. A required target image is obtained according to the main image and the auxiliary image.

Abstract: The present disclosure discloses a dual-core focusing image sensor, a focusing control method for the same and an electronic device. The dual-core focusing image sensor includes an array of photosensitive pixels, an array of filter units arranged on the array of photosensitive pixels and an array of micro lenses arranged above the array of filter units. The array of micro lenses includes at least one first micro lens and a plurality of second micro lenses, each second micro lens is corresponding to one photosensitive pixel, each first micro lens is corresponding to one focusing photosensitive unit, each focusing photosensitive unit includes N*N photosensitive pixels, and at least a part of the focusing photosensitive unit is covered by a white filter unit, where N is an even number greater than or equal to 2.

Abstract: The present disclosure discloses a dual-core focusing image sensor, a focusing control method for the same and an electronic device. The dual-core focusing image sensor includes an array of photosensitive pixels, an array of filter units arranged on the array of photosensitive pixels and an array of micro lenses arranged above the array of filter units. The array of micro lenses includes at least one first micro lens and a plurality of second micro lenses, each second micro lens is corresponding to one photosensitive pixel, each first micro lens is corresponding to one focusing photosensitive unit, each focusing photosensitive unit includes N*N photosensitive pixels, and at least a part of the focusing photosensitive unit is covered by a white filter unit, where N is an even number greater than or equal to 2.

Abstract: A method and device for dual-camera-based imaging are provided, wherein the method includes that: after ambient luminance is determined, a main camera and auxiliary camera are determined from in dual cameras according to the ambient luminance, the main camera is used to shoot a first image, the auxiliary image is used to shoot a second image, a third image is generated according to the first image, depth information of the third image is calculated according to the first image and the second image, and blurring processing is further performed on the third image according to the depth information of the third image to obtain a fourth image.

Abstract: The present disclosure provides a method and a device for acquiring a 3D face. The method includes: detecting a 2D face image captured from a front side to acquire 2D facial feature points; matching the 2D facial feature points with facial feature points of a pre-stored 3D face model; and in response to that the 2D facial feature points match the facial feature points of the pre-stored 3D face model, acquiring a skin texture map, and rendering the pre-stored 3D face model with the skin texture map to acquire the 3D face.

Abstract: Disclosed are methods for dual-camera-based imaging, a mobile terminal. A first image shot by the wide-angle camera and a second image shot by the telephoto camera are acquired. The first image is cropped according to a target region of the first image to acquire a third image. Depth information of the third image is determined according to the third image and the second image. Blurring processing is performed on the third image according to the depth information, to obtain a fourth image.

Abstract: Disclosed are methods for dual-camera-based imaging, a mobile terminal. A first image shot by the wide-angle camera and a second image shot by the telephoto camera are acquired. The first image is cropped according to a target region of the first image to acquire a third image. Depth information of the third image is determined according to the third image and the second image. Blurring processing is performed on the third image according to the depth information, to obtain a fourth image.

Abstract: A method and device for double-camera-based imaging are provided. The method includes the following actions. A first image is acquired by a main camera and a second image is acquired by an auxiliary camera. A main image resolution and an auxiliary image resolution are determined according to a determined shooting mode and resolutions of the main camera and the auxiliary camera respectively. The first image is converted into a main image with the main image resolution. The second image is converted into an auxiliary image with the auxiliary image resolution according to the second image. A required target image is obtained according to the main image and the auxiliary image.

Abstract: A method and device for dual-camera-based imaging are provided, wherein the method includes that: after ambient luminance is determined, a main camera and auxiliary camera are determined from in dual cameras according to the ambient luminance, the main camera is used to shoot a first image, the auxiliary image is used to shoot a second image, a third image is generated according to the first image, depth information of the third image is calculated according to the first image and the second image, and blurring processing is further performed on the third image according to the depth information of the third image to obtain a fourth image.

Abstract: A method for image processing includes the following actions. After n frames of first images shot by a main camera are acquired and an auxiliary image shot by an auxiliary camera is acquired, synthetic noise reduction is performed on the n frames of first images to obtain a frame of main image. Depth information of the main image is further calculated according to the main image and the auxiliary image. Therefore, blurring processing is performed on the main image according to the depth information of the main image to obtain a required second image.

Abstract: An image-processing method, an apparatus and a device are provided. The method includes: controlling a primary camera to capture a plurality of primary images, and simultaneously controlling a secondary camera to capture a plurality of secondary images; obtaining a reference primary image from the primary images, and obtaining a reference secondary image co-captured with the reference primary image from the secondary images; starting a multithread-based parallel processing mechanism, calling a first thread to perform a multiframe-synthesizing noise-reduction process for the primary images so as to generate a target primary image, and simultaneously calling a second thread to obtain depth information according to the reference primary image and the reference primary image; and performing a blurring process for a background region of the target primary image according to the depth information. Thus, it improves the accuracy of calculating the depth information and the image-processing efficiency thereof.

Abstract: A method for image processing and a mobile terminal, and a computer readable medium are disclosed. In one method, n number of first images and m number of second images are acquired. The first images and the second images are captured by a primary camera and a secondary camera respectively, and both the n and the m are integers greater than 2. A synthesizing-denoising process is performed on the n number of first images and the m number of second images respectively to obtain a primary image and a secondary image respectively. Depth information of the primary image is obtained based on the primary image and the secondary image. A blurring process for the primary image is then performed based on the depth information of the primary image to obtain a target image.

Abstract: The present disclosure provides an image processing method, and a device. The method includes controlling a first camera to capture a plurality of first images and controlling a second camera to capture a plurality of second images; acquiring a first reference image from the plurality of first images and acquiring a second reference image from the plurality of second images; performing composition and noise reduction processing on the plurality of primary images by a first thread to generate a composited and noise-reduced image and processing the composited and noise-reduced image according to a preset image processing strategy to generate a target image and acquiring depth of field information based on the first reference image and the second reference image by a second thread; and blurring a background region of the target image according to the depth of field information.

Abstract: The present disclosure discloses a dual-core focusing image sensor, a focusing control method for the same and an electronic device. The dual-core focusing image sensor includes an array of photosensitive pixels, an array of filter units arranged on the array of photosensitive pixels and an array of micro lenses arranged above the array of filter units. The array of micro lenses includes at least one first micro lens and a plurality of second micro lenses, each second micro lens is corresponding to one photosensitive pixel, each first micro lens is corresponding to one focusing photosensitive unit, each focusing photosensitive unit includes N*N photosensitive pixels, and at least a part of the focusing photosensitive unit is covered by a white filter unit, where N is an even number greater than or equal to 2.