Image processing using various video and still flows is described. The resolution and bit depth at each stage of the image processing are described. In some examples, image scalers are used to resize image resolution. In some examples, a warp engine is used to distort per frame images to apply image stabilization, zoom, or a user digital lens. An image processing pipeline includes a double data rate (DDR) memory buffer that supports lossy compression with a constant 50% compression. In some examples, the image processing pipeline includes a DDR memory buffer that is uncompressed.

Embodiments relate to a super-resolution engine that converts a lower resolution input image into a higher resolution output image. The super-resolution engine includes a directional scaler, an enhancement processor, a feature detection processor, a blending logic circuit, and a neural network. The directional scaler generates directionally scaled image data by upscaling the input image. The enhancement processor generates enhanced image data by applying an example-based enhancement, a peaking filter, or some other type of non-neural network image processing scheme to the directionally scaled image data. The feature detection processor determines features indicating properties of portions of the directionally scaled image data. The neural network generates residual values defining differences between a target result of the super-resolution enhancement and the directionally scaled image data. The blending logic circuit blends the enhanced image data with the residual values according to the features.

A method performed by an electronic device, includes: A method for performed by an electronic device, includes: acquiring an image by using a first lens; inputting information about a plurality of candidate regions of the image into a neural network model that is trained to acquire a score indicating whether a face of a person is included, and acquiring scores for the plurality of candidate regions; identifying a candidate region including at least part of a person’s face among the plurality of candidate regions based on the acquired scores; and providing guide information for changing a capturing composition based on information about the location of the identified person region and a score of the identified person region.

An imaging apparatus includes: an imaging sensor; a lens mount to which a lens is attached; and a processor is configured to read out an imaging signal from the imaging sensor and generate a raw image. The processor is configured to determine a length of a second focal length in a second direction which intersects with an extending direction of an optical axis of the lens and a first direction which intersects with the extending direction, relative to a first focal length in the first direction, and make a resolution ratio, which is a ratio of a resolution of the raw image in the first direction to a resolution of the raw image in the second direction, higher than a resolution ratio of the imaging sensor in a case where the second focal length is longer than the first focal length.

An electronic device, method thereof, and digital camera are provided, including an image sensor that generates pixel data based on light received through a lens that permits distortion where a captured image is compressed in a first direction, and an image signal processor that performs re-mosaic processing on the pixel data for correcting distortion occurring in the first direction and to generate re-mosaiced pixel data.

The present technology relates to an imaging apparatus and method, and an image processing apparatus and method that make it possible to control the resolution of a detection image. A resolution is set, and a restoration matrix is set including coefficients used when a restored image is restored from output pixel values of a plurality of pixel output units, of an imaging element including the plurality of pixel output units that receives incident light entering without passing through either an imaging lens or a pinhole, and each outputs one detection signal indicating an output pixel value modulated by an incident angle of the incident light, depending on the resolution set. The present disclosure can be applied to, for example, an imaging apparatus, an image processing apparatus, an information processing apparatus, an electronic device, a computer, a program, a storage medium, a system, and the like.

A method to design miniature wide-angle and ultra-wide-angle lenses by using on-purpose distortion to have shorter focal length than usual for a given image sensor size and a desired image projection. This results in optical systems having miniaturization ratio, defined as the ratio between the total track length and the image footprint diameter, smaller than 0.8. The resulting image from these systems having on-purpose distortion can then be processed with a processor to remove the on-purpose distortion and to output an image with the targeted distortion profile.

An imaging unit includes a plurality of photoelectric conversion elements, a processing unit, and a display unit. The processing unit processes a signal transmitted from the imaging unit. The display unit displays an image based on the signal transmitted from the processing unit. The imaging unit acquires first image information at a first time. The processing unit generates first prediction image information at a second time later than the first time based on the first image information. Moreover, the display unit displays an image based on the first prediction image information.

An image processing apparatus communicates an image capture device having panning, tilting, and zooming function. A code area is detected by performing a matching process on a whole object image area acquired by photographing an area including a whole predetermined object on which codes are attached, by an image capture device. Grouped areas are generated by grouping detected code areas, based on an angle of view to be set when performing photographing with zooming. The image capture device performs panning, tilting, and zooming operations, such that the generated grouped areas are sequentially photographed at a zoom magnification setting value. An image processing area set with respect to a group image obtained by performing the panning, tilting, and zooming operations and photographing each of the generated grouped area. Information on each code area included in the set image processing area is read.

A display system includes a camera, a processor and a display. The camera is configured to shoot a first image and a second image in order. The processor is configured to generate a third image when a difference between the first image and the second image is larger than or equal to a preset difference value. The display is configured to display the first image and the third image in order when the difference is larger than or equal to the preset difference value. A display method and an image capture device are also disclosed herein.