Course Description :
Introduction, Image Digitization, Pixel Relationships, Transformations, Pixel Relationships, Image Interpolation, Image Transformation, Fourier Transformation, Discrete Cosine Transform, K-L Transform, Image Enhancement, Image Restoration, Image Registration, Color Image Processing, Image Segmentation, Mathematical Morphology, Object Representation and Object Recognition.
Other Resources :
Other Signals Systems Courses
please provide lecture notes.on digital image processing.
Digital image processing course is very popular within the students. Digital image processing currently use for various applications. This application involves image preprocessing, image corrections, image restoration, as well as applying various classification algorithms. This topic is very helpful for any student, It gives us the full curriculum.
Excellent Description of the image processing concepts through their mathematical background.
I need Digital Image Processing video lectures