title: Multisensor Super Resolution Using Directionally-Adaptive Regularization for UAV Images.
abstract: In various unmanned aerial vehicle (UAV) imaging applications, the multisensor super-resolution (SR) technique has become a chronic problem and attracted increasing attention. Multisensor SR algorithms utilize multispectral low-resolution (LR) images to make a higher resolution (HR) image to improve the performance of the UAV imaging system. The primary objective of the paper is to develop a multisensor SR method based on the existing multispectral imaging framework instead of using additional sensors. In order to restore image details without noise amplification or unnatural post-processing artifacts, this paper presents an improved regularized SR algorithm by combining the directionally-adaptive constraints and multiscale non-local means (NLM) filter. As a result, the proposed method can overcome the physical limitation of multispectral sensors by estimating the color HR image from a set of multispectral LR images using intensity-hue-saturation (IHS) image fusion. Experimental results show that the proposed method provides better SR results than existing state-of-the-art SR methods in the sense of objective measures.
authors.affiliation: Department of Image, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 156-756, Korea. kandws12@cau.ac.kr.
authors.forename: Wonseok
authors.initials: W
authors.lastname: Kang
authors.affiliation: Department of Image, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 156-756, Korea. shyu@cau.ac.kr.
authors.forename: Soohwan
authors.initials: S
authors.lastname: Yu
authors.affiliation: Department of Image, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 156-756, Korea. fantaaltanix@cau.ac.kr.
authors.forename: Seungyong
authors.initials: S
authors.lastname: Ko
authors.affiliation: Department of Image, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 156-756, Korea. paikj@cau.ac.kr.
authors.forename: Joonki
authors.initials: J
authors.lastname: Paik
keywords: UAV image enhancement; image fusion; multisensor super-resolution (SR); regularized image restoration