King Abdulaziz City for Science and Technology

Andrew Emil Yagle

Faisal Muhammed Al-Salem

Super-resolution of dynamic scenes using sampling rate diversity, processes and systems thereof are provided. The method implementing the processes includes: in a first stage, super-resolving secondary low-resolution (LR) images using a set of primary LR images to create LR dictionaries to represent polyphase components (PPCs) of high resolution (HR) patches of images; and, in a second stage, reverting to a single frame super-resolution (SR) applied to each frame which comprises an entire image, using the HR dictionaries extracted from the super-resolved sequence obtain in the first stage.

Super-resolution of dynamic scenes using sampling rate diversity

A method, an apparatus and/or a system of model-independent generation of an enhanced resolution of image from a number of low resolution images is disclosed. A method includes capturing a number of low resolution images through a first sensor (e.g., first plurality of low resolution images) and a number of low resolution images through a second sensor (e.g., second plurality of low resolution images). The first sensor has a higher resolution than the second sensor. The method also includes estimating expansion coefficients of polyphase components of an enhanced resolution image based on the number of low resolution images through a second sensor (e.g., second plurality of low resolution images) through a processor. The expansion coefficients are expressed in terms of the number of low resolution images through a first sensor (e.g., first plurality of low resolution images).

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Ann Arbor, MI, United States of America

Andrew Emil Yagle