A distance image generation device includes a light projection unit for projecting reference light onto a subject, a light reception unit having a plurality of two-dimensionally arrayed pixels, an optical system for guiding light from the subject to the light reception unit, an influence calculation means for calculating, based on an amount of light received by a target pixel and peripheral pixels thereof among the plurality of pixels, an influence of optical phenomena on the target pixel and the peripheral pixels, an impact calculation means for calculating the impact exerted by the peripheral pixels on the target pixel based on the influence, and a distance image generation means for generating a distance image of the subject based on the impact.

The present disclosure provides a method and device for measuring a distortion parameter of a visual reality device and a measuring system. The method includes: obtaining an anti-distortion grid image according to a first distortion coefficient; obtaining a grid image of the anti-distortion grid image at a preset viewpoint after the anti-distortion grid image passes through a to-be-measured optical component of the visual reality device; determining a distortion type of the grid image after passing through the to-be-measured optical component; adjusting the first distortion coefficient according to the distortion type of the grid image, thereby obtaining an adjusted first distortion coefficient and then reducing distortion of the grid image; repeating the above steps until the distortion of the grid image is less than or equal to a distortion threshold. The adjusted first distortion coefficient when the distortion of the grid image is less than or equal to the distortion threshold, is taken as a distortion coefficient of the to-be-measured optical component.

An apparatus includes a reference coordinate selection unit configured to select reference coordinates of two points from a focus frame area set by a setting unit, and determines arrangement intervals of focus frames based on coordinates on image data before correction corresponding to the coordinates selected by the reference coordinate selection unit and a number of focus frames.

A method for geometrically correcting a distorted input frame and generating an undistorted output frame includes capturing and storing an input frame in an external memory, allocating an output frame with an output frame size and dividing the output frame into output blocks, computing a size of the input blocks in the input image corresponding to each output blocks, checking if the size of the input blocks is less than the size of the internal memory and if not dividing until the required input block size of divided sub blocks is less than the size of the internal memory, programming an apparatus with input parameters, fetching the input blocks into an internal memory, processing each of the divided sub blocks sequentially and processing the next output block in step until all the output blocks are processed; and composing the output frame for each of the blocks in the output frame.

One embodiment provides a method, including: capturing, using a camera sensor integrated into an information handling device, image data; identifying, using a processor, an offset between a lens operatively coupled to the camera sensor and a central portion of the camera sensor; and correcting, based on the offset, a distortion of the image data. Other aspects are described and claimed.

A method for correcting an image includes: orthographically correcting an image; removing a curtain artifact by applying a first filter to the orthographically corrected image; correcting brightness of the image, from which the curtain artifact is removed, by applying a second filter to the image, from which the curtain artifact is removed. The first filter includes a first function and a second function for a first domain and a second domain, which are orthogonal to each other in a frequency region, and the first filter is differentiable and continuous in the first domain and the second domain.

An image processing device is configured to: generate a histogram of pixel values of a plurality of pixels contained in an image; set a background pixel value by using a peak value of the generated histogram; set a noise range with respect to the set background pixel value; and replace the pixel values that fall in the set noise range with a single arbitrary pixel value.

There is provided an image processing apparatus in which a part used in predetermined processing is specified with use of a relatively small binarization threshold, from parts that have been converted into black pixels through binarization processing using a relatively large binarization threshold.

Various technologies described herein pertain to rectification of a fisheye image. A computing system receives the fisheye image. Responsive to receiving the fisheye image, the computing system applies a first lookup function to a first portion of the fisheye image to mitigate spatial distortions of the fisheye image. The computing system also applies a second lookup function to a second portion of the fisheye image to mitigate the spatial distortions. The first lookup function maps first pixels in the first portion to a first rectilinear image corresponding to the first portion when viewed from a first perspective of a first virtual camera. The second lookup function maps second pixels in the second portion to a second rectilinear image corresponding to the second portion when viewed from a second perspective of a second virtual camera. The computing system then outputs the first rectilinear image and the second rectilinear image.

Embodiments of the present application provide a method and apparatus for generating a panoramic image. The method includes: determining, according to a pre-established mapping relationship, a pixel point in the two-dimensional planar image to which each of grid points in a preset stereoscopic model is mapped, wherein multiple grid points form one grid plane and accordingly, multiple pixel points to which the multiple grid points are mapped form one pixel region; and rendering each of the grid planes by the pixel region corresponding to this grid plane, to obtain a panoramic image. In the solution of the present application, it is not necessary to generate a distortion-corrected image and an overhead image, thereby saving storage resources.