An image processing apparatus includes a unit (input unit) configured to acquire image data and depth information corresponding to the image data, a unit (layer division image generation unit) configured to generate layer division image data based on the depth information by dividing the image data into a plurality of layers depending on a subject distance, and a unit (output unit) configured to output the layer division image data. The layer division image data includes image data of a first layer including image data corresponding to a subject at a subject distance less than a first distance, and image data of a second layer including image data corresponding to a subject at a subject distance larger than or equal to the first distance. The first distance changes based on the depth information.

There are disclosed various methods, apparatuses and computer program products for volumetric video encoding and decoding. In some embodiments of a method for encoding, obtaining one or more patches formed from a three-dimensional image information are obtained. The one or more patches represent projection data of at least a part of an object to a projection plane. Priority for at least one of the one or more patches is determined and the one or more patches are projected to a projection plane. Indication of the priority is encoded into or along a bitstream. In some embodiments of a method for decoding, one or more encoded patches formed from a three-dimensional image information are received. Also at least one indication of priority determined for at least one of the one or more patches is received and the patches are reconstructed in the order defined by the at least one indication of priority.

One or more stereoscopic images are generated based on a single monoscopic image that may be obtained from a camera sensor. Each stereoscopic image includes a first digital image and a second digital image that, when viewed using any suitable stereoscopic viewing technique, result in a user or software program receiving a three-dimensional effect with respect to the elements included in the stereoscopic images. The monoscopic image may depict a geographic setting of a particular geographic location and the resulting stereoscopic image may provide a three-dimensional (3D) rendering of the geographic setting. Use of the stereoscopic image helps a system obtain more accurate detection and ranging capabilities. The stereoscopic image may be any configuration of the first digital image (monoscopic) and the second digital image (monoscopic) that together may generate a 3D effect as perceived by a viewer or software program.

The present disclosure provides a virtual viewpoint synthesis method, including: pre-processing a depth image with zero parallax corresponding to an original image to obtain a processed depth image; generating virtual viewpoint images corresponding to a plurality of virtual viewpoints respectively according to the processed depth image and the original image; and filling holes in the virtual viewpoint image to generate a plurality of filled virtual viewpoint images. The present disclosure further provides an electronic apparatus and a computer-readable medium.

This application provides a three-dimensionalization method and apparatus for a two-dimensional image, an electronic device, and a computer-readable storage medium. The method includes performing depth perception processing on a two-dimensional image, to obtain a depth value of each pixel in the two-dimensional image; performing migration processing on the two-dimensional image from multiple perspectives, to obtain a migration result of the two-dimensional image corresponding to each perspective; determining a color value of each pixel in a migration image corresponding to each perspective, based on the depth value of each pixel in the two-dimensional image and the migration result of the two-dimensional image corresponding to each perspective; generating, based on the color value of each pixel in the migration image of each perspective, the migration image corresponding to the perspective; and encapsulating the migration images of the multiple perspectives in an order, to obtain a three-dimensional video.

This application provides a three-dimensionalization method and apparatus for a two-dimensional image, an electronic device, and a computer-readable storage medium. The method includes performing depth perception processing on a two-dimensional image, to obtain a depth value of each pixel in the two-dimensional image; performing migration processing on the two-dimensional image from multiple perspectives, to obtain a migration result of the two-dimensional image corresponding to each perspective; determining a color value of each pixel in a migration image corresponding to each perspective, based on the depth value of each pixel in the two-dimensional image and the migration result of the two-dimensional image corresponding to each perspective; generating, based on the color value of each pixel in the migration image of each perspective, the migration image corresponding to the perspective; and encapsulating the migration images of the multiple perspectives in an order, to obtain a three-dimensional video.

The present technology relates to an image processing apparatus and method and a program that enable natural representation of light in an image in accordance with a viewpoint. The image processing apparatus calculates information indicating a change in a light source region between an input image and a viewpoint-converted image that is obtained by performing viewpoint conversion on the input image on the basis of a specified viewpoint, and causes a change in representation of light in the viewpoint-converted image on the basis of the calculated information indicating a change in the light source region. The present technology can be applied to an image display system that generates a pseudo stereoscopic image with motion parallax from one image.

The various embodiments of the invention relates to a method and a technical equipment for video compression. The method comprises processing volumetric image data comprising a plurality of points; defining a hemisphere (601) around a surface (602) normal at each point in the volumetric image; partitioning each of the defined hemispheres spatially into a predefined number of angles (603); determining a representative radiance value for each angle of the predefined number of angles (603) of a defined hemisphere (601); generating a matrix (610) for a point storing the determined representative radiance values; and encoding the generated matrix (610) for the point for video compression.

An example method to render an image includes obtaining two-dimensional image information of the image including a target and a scene and depth information associated with a first set of pixels and a second set of pixels of the image. The first set of pixels correspond to the target and the second set of pixels correspond to the scene. In response to depth information associated with a pixel of the image being in the predetermined range, the example method includes associating a first depth index with the pixel. Otherwise, the example method associates a second depth index with the pixel. The example method further includes calculating a weighted average picture level of the image based on grayscale values of pixels of the image, the first depth index and/or the second depth index and rendering the image based on the weighted average picture level.

An example method to render an image includes obtaining two-dimensional image information of the image including a target and a scene and depth information associated with a first set of pixels and a second set of pixels of the image. The first set of pixels correspond to the target and the second set of pixels correspond to the scene. In response to depth information associated with a pixel of the image being in the predetermined range, the example method includes associating a first depth index with the pixel. Otherwise, the example method associates a second depth index with the pixel. The example method further includes calculating a weighted average picture level of the image based on grayscale values of pixels of the image, the first depth index and/or the second depth index and rendering the image based on the weighted average picture level.