Aptina Imaging Corporation

Meta Platforms Technologies, LLC

Pravin Rao

Edward Buckley

Kartik Venkataraman

Dan C Lelescu

Dmitry Vasily Bakin

Shane C Hu

Bennett S Wilburn

Kavitha Ratnam

Shuang Wang

Robert Mullis

Cheng Lu

Junqing Chen

A display device and a calibration method for the display device are provided. The calibration method includes obtaining calibration coefficients, from which a compressed approximation is determined. The display device obtains the compressed approximation data including basis vectors and reconstruction coefficients, and determines calibration data to at least partially offset a dependence of an optical throughput of the display device on a beam angle and a beam coordinate at the eyebox.

Display with compressed calibration data

In one embodiment, a computing system may determine, determine an estimated distance of an eye of a user to a display plane of a display. The system may access correction maps corresponding to a number of reference distances to the display plane of the display. The system may select a first reference distance and a second reference distance based on the estimated distance. The system may generate a custom correction map for the user based on an interpolation of a first correction map corresponding to the first reference distance and a second correction map corresponding to the second reference distance. The system may adjust an image to be displayed on the display using the custom correction map. The custom correction map may correct non-uniformity of the display as viewed from the eye of the user. The system may display the image adjusted using the custom correction map on the display.

Display non-uniformity correction

A method and apparatus are disclosed for restoring an image captured through an extended depth-of-field lens. Preprocessed data relating to image degradation is stored and used during an image restoration process.

Method and apparatus for extended depth-of-field image restoration

Methods and systems for determining shading correction coefficients of an imaging device. An inversion surface is determined based on an image captured by the imaging device. The inversion surface is approximated using the captured image and eigenvectors associated with singular values of the inversion surface, to form multiple reconstruction weights. A polynomial fit is applied to: i) the multiple reconstruction weights to determine a first set of polynomial coefficients and ii) the eigenvectors to determine a second set of polynomial coefficients. The first and second sets of polynomial coefficients are used to form the shading correction coefficients.

Multi illuminant shading correction using singular value decomposition

Methods, systems and apparatuses for modeling high resolution images which significantly shortens computation time and reduces image artifacts, as compared to known methods. Embodiments implement a look-up table, to compute once and store the point spread functions for various points of an image. During modeling of the optical system, previously stored point spread functions may be used to determine the point spread function for a specified point using a weighted interpolation of the point spread functions that have been stored for nearby points.

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San Jose, CA, United States of America

Pravin Rao