An electronic apparatus according to the present invention, includes at least one memory and at least one processor which function as: an acquisition unit configured to acquire a captured image; and a control unit configured to control so as to extract a partial range of an image acquired by the acquisition unit and record a still image that is not a VR image in a storage, and control so as to record a moving image that is a VR image in the storage based on the acquired image.

An image processing device, an image processing system, an imaging device, an image processing method, and a recording medium storing program code. The image processing device includes a receiver configured to receive a first image and a second image, a memory configured to store a joining position at each one of a plurality of portions between the first image and the second image received by the receiver, and circuitry configured to evaluate, for each of the plurality of portions, validity of the joining position in a past stored in the memory, and generate a composite image based on the first image and the second image received by the receiver and the joining position in the past stored in the memory on a site where the validity meets a criterion. The method includes reading a past joining position at each one of a plurality of portions between a pair of images.

A machine is configured to generate a representation of a rectangular image, which may depict a projection of a spherical image. The machine generates a first triangular array of pixels based on an upper rectangular region of the rectangular image. The machine generates a second triangular array of pixels based on a lower rectangular region of the rectangular image, and the machine generates a rectangular array of pixels based on a middle rectangular region of the rectangular image. The machine then generates an output image that includes the first triangular array of pixels, the second triangular array of pixels, and the rectangular array of pixels. After the output image is generated, the machine may provide the generated output image for use as a representation of rearranged image data of the spherical image.

The disclosed technique facilitates confirmation of a perspective projection image generated from a partial image region corresponding to a predetermined angle of view of a wide-angle image. First, an image obtainment unit obtains an ultrawide-angle image. A region information obtainment unit obtains an optical axis direction and an angle of view of a virtual camera for defining an image for confirmation set for the ultrawide-angle image and obtains predetermined viewing angle information. An image conversion unit converts the obtained ultrawide-angle image into the perspective projection image as the image for confirmation based on the obtained optical axis direction and angle of view of the virtual camera. A region information drawing unit calculates a visual field region based on the viewing angle information on the angle of view of the virtual camera and superimposes and draws a rectangle indicating the calculated visual field region on the perspective projection image.

Disclosed is an image data encoding/decoding method and apparatus. A method for decoding a 360-degree image comprises the steps of: receiving a bitstream obtained by encoding a 360-degree image; generating a prediction image by making reference to syntax information obtained from the received bitstream; combining the generated prediction image with a residual image obtained by dequantizing and inverse-transforming the bitstream, so as to obtain a decoded image; and reconstructing the decoded image into a 360-degree image according to a projection format.

An image processing apparatus for transforming a wide-angle image into a narrow-angle image includes a deblurrer performing deblurring on the wide-angle image to generate a deblurred image; a super-resolution (SR) unit performing SR processing on the deblurred image to generate an upscaled transformed image; and a view transformer performing view transformation to obtain the narrow-angle image based on the wide-angle image and the upscaled transformed image.

An image processing method and apparatus are provided. The image processing apparatus includes an interface configured to output an input frame and metadata including type information and subtype information; and a rendering unit configured to: determine a type of a polyhedron included in an output frame based on the type information, determine attributes of arrangement of a plurality of areas included in the input frame based on the subtype information, and render the output frame by mapping each of the plurality of areas to corresponding faces of the polyhedron, based on the attributes of arrangement of the plurality of areas.

Various examples described herein are directed to systems and methods for stabilizing a panoramic video. The panoramic video may comprise a first frame captured by a panoramic camera. The panoramic camera may be positioned in a three-dimensional camera space described by an x-axis, a y-axis, and a z-axis that are mutually orthogonal. The first frame may comprise a plurality of pixel values arranged in a pixel plane and may be continuous in a first dimension. An image processor may receive from a motion sensor data describing a rotation of the panoramic camera at a time when the panoramic camera captured the first frame. The image processor may determine a planar component of an unintended rotation of the panoramic camera about the z-axis and convert the planar component of the unintended rotation to a first frame shift in the first dimension.

Systems and methods for projecting a multi-faceted image onto a convex polyhedron based on an input image are described. A system can include a controller configured to determine a mapping between pixels within a wide-angle image and a multi-faceted image, and generate the multi-faceted image based on the mapping.

The present disclosure relates to methods and apparatus for globally adjusting luminance and/or chrominance consistency among multiple images. The methods may include sorting a plurality of images in an order, such that: adjacent images at least partially overlap with each other; and the first image and the last image at least partially overlap with each other. The methods may also include determining mean pixel values for overlapping region of the images. The methods may also include determining consistency factors for the images. The methods may also include generating modified mean pixel values by multiplying the mean pixel values by the respective consistency factors. The methods may also include adjusting the consistency factors to reduce differences of the modified mean pixel values in the overlapping regions. The methods may further include adjusting pixel values of the images based on the respective consistency factors.