Sroubek, F.
* 2000: Multichannel Blind Deconvolution of the Short-exposure Astronomical Images
* 2002: Application of image processing for the conservation of the medieval mosaic
* 2003: Multichannel blind iterative image restoration
* 2004: Identification of tuberculosis bacteria based on shape and color
* 2004: Registration and Fusion of Blurred Images
* 2005: Multichannel Blind Deconvolution of Spatially Misaligned Images
* 2006: Resolution enhancement via probabilistic deconvolution of multiple degraded images
* 2007: Object Recognition by Implicit Invariants
* 2007: Self-Invertible 2D Log-Gabor Wavelets
* 2007: Unified Approach to Superresolution and Multichannel Blind Deconvolution, A
* 2008: 2D Wigner Distribution-based multisize windows technique for image fusion, A
* 2008: Superresolution and blind deconvolution of video
* 2009: PET image reconstruction using prior information from CT or MRI
* 2009: Space-variant deblurring using one blurred and one underexposed image
* 2010: Implicit Moment Invariants
* 2011: Superfast superresolution
* 2012: Deconvolving PSFs for a Better Motion Deblurring Using Multiple Images
* 2012: Fine Structure Recognition in Multichannel Observations
* 2012: Robust Multichannel Blind Deconvolution via Fast Alternating Minimization
* 2013: Blind Deconvolution Using Alternating Maximum a Posteriori Estimation with Heavy-Tailed Priors
* 2013: Patch-based blind deconvolution with parametric interpolation of convolution kernels
* 2013: Segmentation of Time-Lapse Images with Focus on Microscopic Images of Cells
* 2014: Understanding image priors in blind deconvolution
* 2015: Convolutional Neural Networks for Direct Text Deblurring
* 2015: Image analysis of videokymographic data
* 2015: PSF accuracy measure for evaluation of blur estimation algorithms
* 2016: Decomposition of Space-Variant Blur in Image Deconvolution
* 2017: Blind Deconvolution With Model Discrepancies
* 2017: World of Fast Moving Objects, The
* 2018: Adaptive Correlated Image Prior for Image Restoration Problems, An
* 2018: Motion Estimation and Deblurring of Fast Moving Objects
* 2019: Blur Invariant Template Matching Using Projection onto Convex Sets
* 2019: Intra-Frame Object Tracking by Deblatting
* 2019: Non-causal Tracking by Deblatting
* 2020: Automated Object Labeling for CNN-Based Image Segmentation
* 2020: Motion Blur Prior
* 2020: Restoration of Fast Moving Objects
* 2020: Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects
* 2021: Blur-Invariant Similarity Measurement of Images
* 2021: Combined Invariants to Gaussian Blur and Affine Transformation
* 2021: D3Net: Joint Demosaicking, Deblurring and Deringing
* 2021: FMODetect: Robust Detection of Fast Moving Objects
* 2021: Improving Neural Blind Deconvolution
* 2021: Tracking by Deblatting
* 2021: Tracking Fast Moving Objects by Segmentation Network
* 2022: Novel Reconstruction With Inter-Frame Motion Compensation For Fast Super-Resolution Live Cell Imaging
* 2022: Spectral Pre-Adaptation for Restoring Real-World Blurred Images using Standard Deconvolution Methods
* 2023: Blur Invariants for Image Recognition
* 2023: NERD: Neural Field-Based Demosaicking
* 2023: Real-Time Wheel Detection and Rim Classification in Automotive Production
Includes: Sroubek, F. Sroubek, F.[Filip] roubek, F.[Filip] roubek, F.
50 for Sroubek, F.
Sroubek, J.[Jan]
* 2009: PET image reconstruction using prior information from CT or MRI