The paper presents a novel method for suppression of the orthotropic stripe artifacts typical for sensitive optical detector arrays. The algorithm is based on the guided filtering technique where the guidance image is constructed from the input frame in a way that removes artifacts from local contrast structures while disregarding the low-frequency distortions. The artifact suppression procedure was applied to the images of human faces taken with the IR -- THz camera in the diagnosis of psycho-emotional states. In this case, the presence of orthotropic artifacts prevents digital image stabilization. We also demonstrated that adaptation of the alg
The classic way of aerial photographs geolocation is to bind their local coordinates to a geographic coordinate system using GPS and IMU data. At the same time the possibility of geolocation in a jammed navigation field is also of interest for practical purposes. In this paper we consider one approach to visual localization relatively to a vector road map without GPS. We suggest a geolocalization algorithm which detects image line segments and looks for a geometrical transformation which provides the best mapping between the obtained segments set and line segments in the road map. We consider IMU and altimeter data still known which allows to work with orthorectified images. The problem is hence reduced to a search for a transformation which contains an arbitrary shift and bounded rotation and scaling relatively to the vector map. These parameters are estimated using RANSAC by matching straight line segments from the image to vector map segments. We also investigate how the proposed algorithm’s stability is influenced by segment coordinates (two spatial and one angular).