Interpolant-based demosaicing routines for dual-mode visible/near-infrared imaging systems

Abstract

Dual-mode visible/near-infrared imaging systems, including a bioinspired six-channel design and more conventional four-channel implementations, have transitioned from a niche in surveillance to general use in machine vision. However, the demosaicing routines that transform the raw images from these sensors into processed images that can be consumed by humans or computers rely on assumptions that may not be appropriate when the two portions of the spectrum contribute different information about a scene. A solution can be found in a family of demosaicing routines that utilize interpolating polynomials and splines of different dimensionalities and orders to process images with minimal assumptions.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 06, 2022
Source ID
10.1364/oe.458101

Entities

People

  • Steven Blair
  • Viktor Gruev

Organizations

  • Air Force Office of Scientific Research
  • Congressionally Directed Medical Research Programs
  • National Science Foundation
  • Office of Naval Research
  • University of Illinois Urbana–Champaign

Tags

Readers

  • Approximation Theory.
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Systems Analysis and Design

Technology Areas

  • Biotechnology