Nvidia Corporation

Dolby Laboratories Licensing Corporation

University of British Columbia

Mushfiqur Rouf

Felix Heide

Jan Kautz

Wolfgang Heidrich

Kari Pulli

Orazio Gallo

Dawid Stanislaw Pajak

Nagilla Dikpal Reddy

Matthias Hullin

A computer implemented method of determining a latent image from an observed image is disclosed. The method comprises implementing a plurality of image processing operations within a single optimization framework, wherein the single optimization framework comprises solving a linear minimization expression. The method further comprises mapping the linear minimization expression onto at least one non-linear solver. Further, the method comprises using the non-linear solver, iteratively solving the linear minimization expression in order to extract the latent image from the observed image, wherein the linear minimization expression comprises: a data term, and a regularization term, and wherein the regularization term comprises a plurality of non-linear image priors.

Unified optimization method for end-to-end camera image processing for translating a sensor captured image to a display image

There is provided a computer-implemented method for solving inverse imaging problems to compensate for distortions in an image. The method comprises: minimizing a cost objective function containing a data fitting term and one or more image prior terms to each of the plurality of channels, the one or more image prior terms comprising cross-channel information for a plurality of channels derived from the image.

System and method for solving inverse imaging problems

Methods and apparatus may be applied to reconstruct pixel values in saturated regions of an image. Saturated regions are identified and hues for pixels in the saturated regions are estimated based on hues in boundaries of the saturated regions. Gradients for pixel values in saturated color channels within the saturated region may be estimated based on known gradients for non-saturated color channels. Reconstructed pixel values may be derived from the estimated gradients. The methods and apparatus may be applied in conjunction with dynamic range expansion.

Color highlight reconstruction

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Sunnyvale, CA, United States of America

Mushfiqur Rouf