Computational sensing-low-power processing publications

We propose a framework for scene-based nonuniformity correction (NUC) and nonuniformity correction and enhancement (NUCE) that is required for focal-plane array-like sensors to obtain clean and enhanced-quality images.

Our method proposes a local-constant statistics that assumes that the temporal signal distribution is not constant at each pixel but is locally true.

We propose here an image mosaicing algorithm that combines state of the art groupwise image registration for alignment with content-based image fusion to prevent degrading of the fused image due…

This paper proposes a new DIS algorithm that reduces the computation time while preserving the accuracy of the algorithm. To reduce the computation time, an image is transformed by a…

This paper suggests an evaluation methodology which would provide us the ability to qualitatively measure the performance of a given stabilized system.

This technical report consists of papers presented at the session wherein the major problems in computer vision are outlined, and the "signals to symbols"and the "monolithic computing" (MC) approaches to…

This note discusses the adequacy of current computer architectures to serve as a base for building machine vision systems.