A method for providing imagery to a user on a display includes receiving eye tracking data and determining a gaze location on the display or a gaze vector using the eye tracking data. The method can also include defining a first tile using the gaze location on the display or the gaze vector. The first tile may have a height and a width, the height and width being determined using the eye tracking data. The method can further include defining multiple additional tiles to fill an entire area of the display. The method can also include providing a portion of an image using the first tile at a first image quality and providing another portion of the image at a second image quality using at least one of the multiple additional tiles.

A method is provided for detecting mura defects in a master panel during fabrication, the master panel containing multiple flat screen displays. The method includes preparing a combined image from image data of the master panel; enhancing the quality of the combined image, including removing artifacts from the combined image; filtering the enhanced quality combined image to detect local mura defects, the local mura defects including at least one structured pattern of defined geometric shapes; applying different candidate patterns to the filtered combined image; selecting one of the candidate patterns as a defect detection pattern, the defect detection pattern being closest to the structured pattern of defined geometric shapes of the detected local mura defects; and displaying at least a portion of the defect detection pattern on a display, together with the quality-enhanced combined image.

A digital model repair method includes: providing a point cloud digital model of a target object as input to a generative network of a trained generative adversarial network GAN, the input point cloud comprising a plurality of points erroneously perturbed by one or more causes, and generating, by the generative network of the GAN, an output point cloud in which the erroneous perturbation of some or all of the plurality of points has been reduced; where the generative network of the GAN was trained using input point clouds comprising a plurality of points erroneously perturbed by said one or more causes, and a discriminator of the GAN was trained to distinguish point clouds comprising a plurality of points erroneously perturbed by said one or more causes and point clouds substantially without such perturbations.

Embodiments herein disclose a method for producing 360 degree image content on a rectangular projection in an electronic device. The method includes obtaining a 360 degree image content represented by packing one or more projection segments arranged in a rectangular projection. The method includes detecting whether at least one discontinuous boundary is present in the 360-degree image content. The at least one discontinuous boundary is detected using the packing of one or more projection segments. The method includes applying at least one padding information on the at least one discontinuous boundary. The method includes producing another 360 degree image content on the rectangular projection in the electronic device based on the padding information.

An image processing device is configured to: acquire a first image photographed from a first position; acquire a second image photographed from a second position; identify an edit target area where a first shadow or a first shielding object is shown in the first image; decrease a resolution of the second image so as to match with a photographed object shown in the first image, and identifying a photographed part area where a second shadowed part or a second shielded part is shown in a low-resolution second image; identify a similar area in at least one of the first image and the second image, the similar area being similar to the photographed part area; and edit the edit target area in the first image, based on the similar area.

Vision sensor systems and methods detect banding and flicker. The method includes receiving camera data and identifying a light source location in a frame of camera data and assigning a luminance measure at the light source as a signal reference. A region of interest (ROI) is then associated with the light source. The frame is incremented, and then a signal to noise ratio (SNR) at the light source is calculated. A number, N of frames may be processed to identify banding when it is present, and to identify flicker when it is present. Responsive to identifying banding or identifying flicker, a response for a display system or for a machine vision system is generated.

The present subject matter refers an image-processing method comprises receiving a first-image of an object captured by a range-imaging device at a first viewing location. The transforming the first-image into a second image of the object, said second image corresponding to an image captured based on range-imaging at a second viewing location with respect to the object. The gaps in the second-image are identified based on comparison with the first image, such that the identified gaps within the second image are complemented to result in a complemented second image.

An image processing method is disclosed, comprising comparing a first image and a modified second image, the modified second image comprising a copy of the first image in which at least one pixel value of one or more pixels have been modified, and based on the result of the comparison, generating first image reconstruction information which can be combined with the modified second image to reconstruct the first image. A corresponding image reconstruction method comprises combining the image reconstruction information with the modified second image to reconstruct the first image. Apparatus for implementing the methods is also disclosed.

The present disclosure relates to an image processing device, an imaging device, an image processing method, and a program to make it possible to superimpose a complementary image in such a manner that an appearance becomes more natural. From an image acquired by imaging of an arbitrary subject, a removal region selecting unit selects a region, in which an intended object to be removed is included, as a removal region with reference to distance information that is acquired when the image is imaged and that indicates a distance to the subject. On the basis of the distance information, a complementary region specifying unit specifies a complementary region to complement the removal region from a region including a background of the object to be removed in the image, and an image superimposition processing unit superimposes a complementary image generated from the complementary region on a place from which the removal region is deleted in the image. The present technology can be applied, for example, to a so-called smartphone.

The embodiments of the present disclosure disclose methods and systems for determining a ring artifact. The method for determining the ring artifact may include: obtaining an original image; mapping a plurality of pixels in the original image to a polar coordinate image; determining a protection region in the polar coordinate image; obtaining a smooth image by smoothing at least one region in the polar coordinate image other than the protection region; generating a residual image based on the polar coordinate image and the smooth image; determining a location of the ring artifact in the original image based on the residual image. In the present disclosure, the original image may be mapped to a trapezoidal region or a triangular region in the polar coordinate image, and the gradient angle image may be used for image processing, which may reduce the influence of noise. An accurate location of the ring artifact may be determined, and information for imaging device detection and air correction may be provided.