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Optical coherence tomography (OCT) is the current very fast and accurate modality for noninvasive assessment of 3D retinal structure. Due to large amount of data acquired with this technique the resolution of 3D scans is limited. In this paper we present a new method for improving resolution of 3D macula scans while maintaining short acquisition time and robustness with respect to motion artifacts...
This paper presents a test of pedestrian detection in low resolution night vision infrared images. An image feature extractor based on histograms of oriented gradients followed by a Support Vector Machine (SVM) classifier are evaluated, optimized and used. Tests performed on three different night vision infrared datasets show that the classification quality of the proposed method is very high even...
This paper presents analysis of impact of the image resolution on the efficacy of the automatic face recognition. During experimental studies three databases were tested, where the head in the photos is set at different angles. The effectiveness of face location detection was examined with the use of the skin color and geometric models. Next, we tested the influence of the head position and the image...
In the paper the possibility of efficient application of the Discrete Cosine Transform (DCT-IIIe), type III, even, to generate halfband filters windowed in time domain and used in the 2-dimensional (2D) wavelet-like decomposition-reconstruction scheme is investigated. The study is based on 6 test images. Comparative computations for varying length of the Hamming window and several image resolution...
In this paper a stereovision impression based optional tool for operators of monitoring systems is proposed and the method based on control of perception of the object depth in 2D and 3D video streams is described. Two variants of the object depth control were considered: a method implemented in the 2D to 3D conversion scheme and a method applied to the original 3D video. Therefore, the experiments...
A new nonlinear iterative average filtering technique for removing random impulse noise from images is presented. It can be used for both grayscale and color images. Filtering results of the standard test images and comparisons with results of other denoising methods are presented. The authors' approach offers especially good results for strongly corrupted images (corruption pixel ratio above 40%).
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