MANY YEARS OF EXPERIENCE
Digital images are all around us
Manual analysis of biology and medical datasets is difficult and also time-consuming, mainly due to the noise and low contrast of the images as well as high number of data. The possibility of computer-aided diagnostics is thus of great interest.
Wireless capsule endoscopy
Wireless Capsule Endoscopy is a non-invasive diagnostic tool very considerate to the patient. It has enabled, for the first time, a painless diagnosis inside the gastro
OUR TOP HIGHLIGHTS FOR THIS FIELD
Tree Leaf Database MEW2019
This database called MEW (Middle European Woods) was originally with
Advanced Neural Representations for Image Reconstruction
Images captured by sensors are often incomplete or degraded, and we need to reconstruct them into
Deblatting (deblurring and matting) of fast moving objects
From the given input image containing the blurred object in front of a static background and a se
Fast convolutional sparse coding using matrix inversion lemma
This web page describes results published in our paper: Michal Šorel, Filip Šroubek, Fast convo
Super-resolution in Mobile Devices
Super-resolution is a mathematical algorithm that combines multiple low-resolution input images a
Monitoring of Varroa Infestation Rate in Beehives: A Simple AI Approach
2022 IEEE International Conference on Image Processing (ICIP), p. 33
Automatic blood detection in capsule endoscopy video
Journal of Biomedical Optics vol.21, 12 (2016), p. 1-8
We propose two automatic methods f
Videokymogram Analyzer Tool: Human–computer comparison
Biomedical Signal Processing and Control, vol.78, September (2022),
Microscopic samples from material research
Our work is aimed at the processing of image data, collected during material research. We concent
Denoising of underdrawing IR images by means of TPS
Infrared analysis has long been used in the fields of art history an
Book : 2D and 3D Image Analysis by Moments
Jan Flusser, Tomáš Suk, and Barbara Zitová, 2D and 3D Image Analysis by Moments, Wiley
Book : Moments and Moment Invariants in Pattern Recognition
Jan Flusser, Tomáš Suk, and Barbara Zitová, Moments and Moment Invariants in Pattern R
PROVENANCE
PROviding VErificatioN AssistaNCE for New Content
Read More 2200
Software for Monitoring Coverage in Hand-Held Whole-Breast Ultrasound
Supported by (ID): TA04011392
Grantor: Technology Agency ČRRead More 1122
Decomposition of Space-Variant Blur in Image Deconvolution
Standard convolution as a model of radiometric degradation is in majority of cases inaccurate as
Blind Deconvolution in Smartphones
Smartphones are now widely used as photographic devices. Their cheap cameras are prone to many de
Blind deconvolution using alternating maximum a posteriori estimation with heavy-tailed priors
Blind deconvolution aims to estimate the blur PSF from a single blurred image and then deblur the
Algorithm for Fast Image Restoration
Blind deconvolution, which comprises simultaneous blur and image estimation, is a strongly ill-po
Super-resolution imaging (Matlab GUI)
Super-resolution (SR) is the process of combining a sequen
Restoration of images blurred by camera motion
The blur caused by camera motion is a serious problem in many areas of optical imaging such as re
Multichannel Blind Deconvolution (Matlab GUI)
We assume a standard acquisition model. The original image undergoes
