Illumination-invariant image mosaic calculation based on logarithmic search
This technical report describes an improved image mosaicking algorithm. It is based on Jain's logarithmic search algorithm [Jain 1981] which is coupled to the method of Kourogi (1999} for matching images in a video sequence. Logarithmic search has a better invariance against illumination changes than the original optical-flow-based method of Kourogi.
Code (0)
등록된 구현이 없습니다.
Tasks
Optical Flow EstimationSimilar Papers 제목 키워드 기반
NLHD: A Pixel-Level Non-Local Retinex Model for Low-Light Image Enhancement
Retinex model has been applied to low-light image enhancement in many existing methods. More appropriate decomposition of a low-light image can help achieve better image enhancement. In this paper, we propose a new pixel…
Image EnhancementLow-Light Image EnhancementSynthesizing Illumination Mosaics From Internet Photo-Collections
We propose a framework for the automatic creation of time-lapse mosaics of a given scene. We achieve this by leveraging the illumination variations captured in Internet photo-collections. In order to depict and character…
Illumination Normalization via Merging Locally Enhanced Textures for Robust Face Recognition
In order to improve the accuracy of face recognition under varying illumination conditions, a local texture enhanced illumination normalization method based on fusion of differential filtering images (FDFI-LTEIN) is prop…
Face RecognitionRobust Face RecognitionUnsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks
This paper presents a deep learning-based spectral demosaicing technique trained in an unsupervised manner. Many existing deep learning-based techniques relying on supervised learning with synthetic images, often underpe…
BenchmarkingDemosaickingLearning deep illumination-robust features from multispectral filter array images
Multispectral (MS) snapshot cameras equipped with a MS filter array (MSFA), capture multiple spectral bands in a single shot, resulting in a raw mosaic image where each pixel holds only one channel value. The fully-defin…
DemosaickingImage Augmentationimage-classificationImage Classification