Image Quality

Image Quality is a critical concept in digital imaging that encompasses the accuracy and visual appeal of captured, processed, and displayed images. Coursera's Image Quality catalogue teaches you the fundamental principles of assessing and improving image fidelity, from understanding signal processing in imaging systems to evaluating perceptual attributes that enhance viewer experience. You'll learn to analyze key factors such as sharpness, noise reduction, dynamic range, color accuracy, and contrast, as well as master techniques for objective and subjective quality assessment. This skill empowers professionals in fields like photography, graphic design, and digital media to create, evaluate, and optimize images that meet the highest standards of visual excellence and technical precision.
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Results for "image quality"

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    Skills you'll gain: Unreal Engine, 3D Assets, Virtual Environment, Data Import/Export, Computer Graphics, Image Quality, Performance Tuning

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    Columbia University

    Skills you'll gain: Image Quality, Image Analysis, Computer Vision, Photography, Color Theory, Computer Graphics, Visualization (Computer Graphics), Electronic Components, Semiconductors, Algorithms, Advanced Mathematics, Applied Mathematics

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    Skills you'll gain: Logo Design, Color Theory, Graphic Design, Image Quality, Graphic and Visual Design, Creative Design, Design, Design Elements And Principles, Digital Design, File Management

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    Skills you'll gain: Computer Vision, Image Analysis, Anomaly Detection, Applied Machine Learning, Deep Learning, Image Quality, Artificial Neural Networks, Unsupervised Learning, Matlab, Application Deployment, PyTorch (Machine Learning Library), Machine Learning, Motion Graphics, Supervised Learning, Data Visualization, Automation, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Medical Imaging

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    Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, Automation, Anomaly Detection, Spatial Data Analysis, Data Processing, Engineering Practices, Water Sustainability, Medical Imaging, Spatial Analysis, Data Manipulation, Histogram, Exploratory Data Analysis, Quantitative Research, Data Analysis Software, Analysis, Data Import/Export, Algorithms

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