Course Description
2-D sequences and systems, separable systems, projection slice thm, reconstruction from projections and partial Fourier information, Z transform, different equations, recursive computability, 2D DFT and FFT, 2D FIR filter design; human eye, perception, psychophysical vision properties, photometry and colorimetry, optics and image systems; image enhancement, image restoration, geometrical image modification, morphological image processing, halftoning, edge detection, image compression: scalar quantization, lossless coding, huffman coding, arithmetic coding dictionary techniques, waveform and transform coding DCT, KLT, Hadammard, multiresolution coding pyramid, subband coding, Fractal coding, vector quantization, motion estimation and compensation, standards: JPEG, MPEG, H.xxx, pre- and post-processing, scalable image and video coding, image and video communication over noisy channels.
Textbooks
1. Bovik, Handbook of Image and Video Processing, Academic Press 2000,
2. N. Netravali and Barry G. Haskell, Digital Pictures, Plenum Press, 1988.
3. W. K. Pratt, Digital Image Processing, John Wiley and Sons, 1992.
4. M. Tekalp, Digital Video Processing, Prentice Hall, 1995.
Course Topics
Image reconstruction from partial information
Two-dimensional (2-D) Fourier transform and z-transform;
2-D DFT and FFT, FIR and IIR filter design and implementation.
Basics of Image Processing techniques and perception;
Image and video enhancement
Image and video restoration
Reconstruction from multiple images
Image and video analysis: Image Representation and models; image and video classfication and segmentation; edge and boundary detection in images
Image compression and coding
Video compression
Image and Video Communication, storage and retreival
Image and video rendering and assessment
Image and video Acquisition
Applications of image processing: Synthetic Aperture Radar, computed tomography, cardiac image processing, finger print classfication, human face recognition
首页 课程表 在线聊 报名 讲师 品牌 QQ聊 活动 就业