This course will cover the human visual system, digital image characteristics and the basis for image processing (binary, gray levels), Fourier analysis and distortions, image sampling and reconstruction, image enhancement via gray level histogram design, various image processing and enhancement filters, introduction to information theory, data encoding and compression in image processing, color image representation and processing principles, introduction to video processing, 3D images, and
image processing applications.
Image processing and recognition
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- Data Science
- Image processing and recognition
Image processing and recognition
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