Performance Evaluation of Infrared Image Enhancement Techniques
Infrared (IR) images are widely used in many fields such as medical imaging, object tracking, astronomy and military purposes for securing borders. Infrared images can be captured day or night based on the type of capturing device. The capturing devices use electromagnetic radiation with longer wavelengths. There are several types of IR radiation based on the range of wavelength and corresponding frequency. Due to noising and other artifacts, IR images are not clearly visible. In this paper, we present a complete up-todate survey on IR imaging enhancement techniques. The survey includes IR radiation types and devices and existing IR datasets. The survey covers spatial enhancement techniques, frequency-domain based enhancement techniques and Deep learning-based techniques.
Code (0)
등록된 구현이 없습니다.
Tasks
AstronomyImage EnhancementObject TrackingSurveySimilar Papers 제목 키워드 기반
CM-Bench: A Comprehensive Cross-Modal Feature Matching Benchmark Bridging Visible and Infrared Images
Infrared-visible (IR-VIS) feature matching plays an essential role in cross-modality visual localization, navigation and perception. Along with the rapid development of deep learning techniques, a number of representativ…
Homography EstimationVisual LocalizationPose EstimationImage MatchingVIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement
Images captured in severe low-light circumstances often suffer from significant information absence. Existing singular modality image enhancement methods struggle to restore image regions lacking valid information. By le…
DenoisingImage AugmentationImage EnhancementLow-Light Image EnhancementDoes V-NIR based Image Enhancement Come with Better Features?
Image enhancement using the visible (V) and near-infrared (NIR) usually enhances useful image details. The enhanced images are evaluated by observers perception, instead of quantitative feature evaluation. Thus, can we s…
Image EnhancementDiff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior
Recently, researchers have proposed various deep learning methods to accurately detect infrared targets with the characteristics of indistinct shape and texture. Due to the limited variety of infrared datasets, training …
Data AugmentationDiversityImage EnhancementSpectral Enhancement and Pseudo-Anchor Guidance for Infrared-Visible Person Re-Identification
The development of deep learning has facilitated the application of person re-identification (ReID) technology in intelligent security. Visible-infrared person re-identification (VI-ReID) aims to match pedestrians across…
Person Re-Identification