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Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". We introduce a deep neural network (DNN) architecture that uses the dual-pixel (DP) sub-aperture views to reduce defocus blur.
Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Lev…
Reference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single …
In this study, a method has been developed and demonstrated for industrial cameras to determine the optimum camera position during the image acquisition phase.
Integrated hardware control, computer vision and automation for 2D-material transfer and stacking benches: camera, XYR sample stage, transfer stage, focus axis and hot stage in one application, with a hardware abstraction layer for adapting it to various instruments.
Physics-based synthetic data and defocus-regression models for fluorescence microscope autofocus: Richards-Wolf vectorial PSF simulation, 14 sample geometries, a full sCMOS/EMCCD sensor model, geometry-invariant focus features, and the classical z-scan baselines to beat.
Stateful Python library for real-time no-reference focus evaluation: six focus-measure families with adaptive weighting, heuristic confidence and an optional spatial sharpness map. Does not control cameras or lenses.
Domain generalization for single-shot autofocus in digital pathology: input representation and photometric augmentation are substitutes, not separate mechanisms. Code and results for COMPAYL 2026 (MICCAI workshop).
Camera autofocus on Raspberry Pi 4 driving an FS90R servo - Python focus algorithms, 3D-printed mounts, and a step-by-step build guide (TU Clausthal ETCE seminar project).
SAR image formation from raw phase history: pulse compression, backprojection, phase gradient autofocus — validated against analytic resolution and sidelobe theory to 0.5%