Ford Global Technolgoies, LLC

Chitteshwaran Thavamani

Nicolas Cebron

Deva K Ramanan

Mengtian Li

Systems and methods for processing high resolution images are disclosed. The methods include generating a saliency map of a received high-resolution image using a saliency model. The saliency map includes a saliency value associated with each of a plurality of pixels of the high-resolution image. The method then includes using the saliency map for generating an inverse transformation function that is representative of an inverse mapping of one or more first pixel coordinates in a warped image to one or more second pixel coordinates in the high-resolution image, and implementing an image warp for converting the high-resolution image to the warped image using the inverse transformation function. The warped image is a foveated image that includes at least one region having a higher resolution than one or more other regions of the warped image.

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Troy, MI, United States of America

Chitteshwaran Thavamani