Apple Inc.

Katharina Buckl

Moinul H Khan

Raffi A Bedikian

Mohamed Selim Ben Himane

Pedro Manuel Da Silva Quelhas

Jim Chen Chou

Julien Monat Rodier

A method includes obtaining an image via an image sensor, and identifying, within the image, a physical object represented by a portion of the image. The method includes determining, based on the image, a visual feature characterizing the physical object. The method includes warping, based on the visual feature satisfying a first feature criterion, the portion of the image according to a first warping function that is based on the first feature criterion and a distance between the electronic device and a reference point. The method includes warping, based on the visual feature satisfying a second feature criterion that is different from the first feature criterion, the portion of the image according to a second warping function that is based on the second feature criterion and the distance between the electronic device and the reference point.

Adaptive image warping based on object and distance information

A method includes obtaining an image via an image sensor. The method includes determining a first perceptual quality value that is associated with a first portion of the image. The method includes determining a first image perceptual quality warping function that is based on the first perceptual quality value and an image warping map. The first image perceptual quality warping function is characterized by a first warping granularity level that is a function of the first perceptual quality value. The method includes warping the first portion of the image according to the first image perceptual quality warping function.

Variable-granularity based image warping

Growing community of inventors

Starnberg, Germany

Katharina Buckl