Krzysztof Okarma

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Head of Department / Associate Professor

Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Poland

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About

Dr. Krzysztof Okarma is the Head of Department and an Associate Professor at Zachodniopomorski Uniwersytet Technologiczny w Szczecinie, Poland. His research areas include image quality assessment, optical character recognition, and advanced image processing techniques. He has contributed to the field with recent publications on the aesthetics of 3D printed surfaces and compression of satellite LiDAR data.

Recent Grants

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Methods of intelligent image and video processing based on visual quality metrics for emerging applications

Open Date: 2020-01-01

Close Date: 2021-12-01

Articles (15)

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2025

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2022

Collaborators (5)

Iñigo Cuiñas

Catedrático (Full Professor)

SPAIN

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Gonzalo Arce

Charles Black Evans Professor

University of Delaware

UNITED STATES

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Adam Tański

prof. ZUT

Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

POLAND

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Mateusz Kopytek

West Pomeranian University of Technology

POLAND

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Karen Egiazarian

FINLAND

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Krzysztof Okarma

Research Interests

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About

Recent Grants

Articles (15)

Generative Diffusion Models for Compressed Sensing of Satellite LiDAR Data: Evaluating Image Quality Metrics in Forest Landscape Reconstruction

A Multi-Feature Automatic Evaluation of the Aesthetics of 3D Printed Surfaces

Application of Binary Image Quality Assessment Methods to Predict the Quality of Optical Character Recognition Results

A method supporting fault-tolerant optical text recognition from video sequences recorded with handheld cameras

Analysis of Image Preprocessing and Binarization Methods for OCR-Based Detection and Classification of Electronic Integrated Circuit Labeling

A Fast and Accurate Prediction of Distortions in DCT-Based Lossy Image Compression

A Hybrid Method for Objective Quality Assessment of Binary Images

Efficiency Increasing of No-reference Image Quality Assessment in UAV Applications

ЕФЕКТИВНІ МЕТОДИ ІНТЕЛЕКТУАЛЬНОЇ ОБРОБКИ ЗОБРАЖЕНЬ ТА ВІДЕО НА ОСНОВІ МЕТРИК ВІЗУАЛЬНОЇ ЯКОСТІ ДЛЯ ПЕРСПЕКТИВНИХ ЗАСТОСУВАНЬ

МЕТОДИ ІНТЕЛЕКТУАЛЬНОЇ ОБРОБКИ ЗОБРАЖЕНЬ ТА ВІДЕО НА ОСНОВІ МЕТРИК ВІЗУАЛЬНОЇ ЯКОСТІ ДЛЯ ПЕРСПЕКТИВНИХ ЗАСТОСУВАНЬ

Erroneous Vehicle Velocity Estimation Correction Using Anisotropic Magnetoresistive (AMR) Sensors

A Visual Feedback for Water-Flow Monitoring in Recirculating Aquaculture Systems

Improved Combined Metric for Automatic Quality Assessment of Stitched Images

Quality Control for the BPG Lossy Compression of Three-Channel Remote Sensing Images

Quality Control for the BPG Lossy Compression of Three-Channel Remote Sensing Images

Collaborators (5)

Iñigo Cuiñas

Gonzalo Arce

Adam Tański

Mateusz Kopytek

Karen Egiazarian

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