6.344 Digital Image Processing


Class Info

Digital images as two-dimensional signals. Digital signal processing theories used for digital image processing, including one-dimensional and two-dimensional convolution, Fourier transform, discrete Fourier transform, and discrete cosine transform. Image processing basics. Image enhancement. Image restoration. Image coding and compression. Video processing including video coding and compression. Additional topics including digital high-definition television systems.

This class has 6.003, and 6.041 as prerequisites.

6.344 will be offered this semester (Spring 2017). It is instructed by J. S. Lim.

Lecture occurs 11:00 AM to 12:30 PM on Tuesdays and Thursdays in 32-124.

This class counts for a total of 12 credits.

In the Spring 2016 Subject Evaluations, 6.344 was rated 6.1 out of 7.0. You can find more information at the MIT EECS Graduate Study: Area I Information Systems: Beyond the Core Subjects site or on the 6.344 Stellar site.

Required Textbooks
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MIT 6.344 Digital Image Processing Related Textbooks
MIT 6.344 Digital Image Processing On The Web
MIT EECS Graduate Study: Area I Information Systems: Beyond the Core Subjects
Tags
two-dimensional area stochastic students

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