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edit approved Apr 5, 2014 at 19:35
nchpmn
edit approved Apr 5, 2014 at 19:35
nchpmn
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If anyone else is interested, Coursera just started a "Fundamentals of Digital Image and Video Processing" in partnership with Northwestern University. From the syllabus, it looks like many relevant topics will be explored.

https://www.coursera.org/course/digital

The course started on March 31, 2014. Here is the general course outline:

• Introduction, Image and Video Processing vs Image and Video Analysis vs Computer Vision, the electromagnetic spectrum, applications of image and video processing • 2D and 3D signals and systems, linear and shift invariant systems (convolution) • 2D and 3D Fourier transform, 2D and 3D discrete-Fourier transform, uniform sampling (rectangular, arbitrary geometry) • Motion estimation and its applications • Image and video enhancement (e.g., edge detection, noise filtering, histogram equalization, inpainting) • Image recovery (restoration, super-resolution) • Video recovery (restoration, super-resolution) • Lossless compression • Image compression techniques and standards • Video compression techniques and standards • Image and video analysis (e.g., 2D and 3D segmentation, anomaly detection, clustering) • Sparsity-based advances in image and video processing

  • Introduction, Image and Video Processing vs Image and Video Analysis vs Computer Vision, the electromagnetic spectrum, applications of image and video processing

  • 2D and 3D signals and systems, linear and shift invariant systems (convolution) • 2D and 3D Fourier transform, 2D and 3D discrete-Fourier transform, uniform sampling (rectangular, arbitrary geometry)

  • Motion estimation and its applications

  • Image and video enhancement (e.g., edge detection, noise filtering, histogram equalization, inpainting)

  • Image recovery (restoration, super-resolution)

  • Video recovery (restoration, super-resolution)

  • Lossless compression

  • Image compression techniques and standards

  • Video compression techniques and standards

  • Image and video analysis (e.g., 2D and 3D segmentation, anomaly detection, clustering)

  • Sparsity-based advances in image and video processing

If anyone else is interested, Coursera just started a "Fundamentals of Digital Image and Video Processing" in partnership with Northwestern University. From the syllabus, it looks like many relevant topics will be explored.

https://www.coursera.org/course/digital

The course started on March 31, 2014. Here is the general course outline:

• Introduction, Image and Video Processing vs Image and Video Analysis vs Computer Vision, the electromagnetic spectrum, applications of image and video processing • 2D and 3D signals and systems, linear and shift invariant systems (convolution) • 2D and 3D Fourier transform, 2D and 3D discrete-Fourier transform, uniform sampling (rectangular, arbitrary geometry) • Motion estimation and its applications • Image and video enhancement (e.g., edge detection, noise filtering, histogram equalization, inpainting) • Image recovery (restoration, super-resolution) • Video recovery (restoration, super-resolution) • Lossless compression • Image compression techniques and standards • Video compression techniques and standards • Image and video analysis (e.g., 2D and 3D segmentation, anomaly detection, clustering) • Sparsity-based advances in image and video processing

If anyone else is interested, Coursera just started a "Fundamentals of Digital Image and Video Processing" in partnership with Northwestern University. From the syllabus, it looks like many relevant topics will be explored.

https://www.coursera.org/course/digital

The course started on March 31, 2014. Here is the general course outline:

  • Introduction, Image and Video Processing vs Image and Video Analysis vs Computer Vision, the electromagnetic spectrum, applications of image and video processing

  • 2D and 3D signals and systems, linear and shift invariant systems (convolution) • 2D and 3D Fourier transform, 2D and 3D discrete-Fourier transform, uniform sampling (rectangular, arbitrary geometry)

  • Motion estimation and its applications

  • Image and video enhancement (e.g., edge detection, noise filtering, histogram equalization, inpainting)

  • Image recovery (restoration, super-resolution)

  • Video recovery (restoration, super-resolution)

  • Lossless compression

  • Image compression techniques and standards

  • Video compression techniques and standards

  • Image and video analysis (e.g., 2D and 3D segmentation, anomaly detection, clustering)

  • Sparsity-based advances in image and video processing

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ZeroFlux
ZeroFlux
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If anyone else is interested, Coursera just started a "Fundamentals of Digital Image and Video Processing" in partnership with Northwestern University. From the syllabus, it looks like many relevant topics will be explored.

https://www.coursera.org/course/digital

The course started on March 31, 2014. Here is the general course outline:

• Introduction, Image and Video Processing vs Image and Video Analysis vs Computer Vision, the electromagnetic spectrum, applications of image and video processing • 2D and 3D signals and systems, linear and shift invariant systems (convolution) • 2D and 3D Fourier transform, 2D and 3D discrete-Fourier transform, uniform sampling (rectangular, arbitrary geometry) • Motion estimation and its applications • Image and video enhancement (e.g., edge detection, noise filtering, histogram equalization, inpainting) • Image recovery (restoration, super-resolution) • Video recovery (restoration, super-resolution) • Lossless compression • Image compression techniques and standards • Video compression techniques and standards • Image and video analysis (e.g., 2D and 3D segmentation, anomaly detection, clustering) • Sparsity-based advances in image and video processing