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UET Taxila
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Assignment # 2 has been uploaded
COURSE DESCRIPTION Course Objectives:
• Develop an overview of the field of image processing.
• Understand the fundamental algorithms and how to implement them.
• Prepare to read the current image processing research literature.
• Gain experience in applying image processing algorithms to real problems
Course Description:
• Introduction to Digital Image Processing, Applications Areas of DIP, Modalities for image, formation
• Digital Image Representation, Acquisition, Storage, Processing, Communication, Display, Image Sensing and Acquisition Issues in Sampling and Quantization, Spatial and Gray level Resolution Zooming and shrinking of digital images Connectivity and relations between pixels.
• Image Enhancement (spatial and frequency domain) Enhancement by point processing Log, power-law, Piecewise-linear Transforms Histogram modifications (Equalization, specification, matching) Spatial and Frequency Filtering Two-Dimensional DFT and its Properties, Highpass/Lowpass Filter.
• Image Restoration Degradation models Statistical Noise Models Image restoration (Noise only spatial filtering, periodic noise) Degrading function Estimation (observation, experimentation, modeling) Pseudo inverse image restoration, Inverse filtering, Weiner filtering introduction. Blind Image restoration.
• Color Image Processing Fundamentals of color image processing Color models Pseudocolor Image Processing, Intensity Slicing Color transformations, Smoothing and sharpening of color images.
• Image Segmentation Point, Line, Edge Detection First-order/second order derivative edge detection Edge linking and boundary detection Global and adaptive Thresholding.
• Morphological Image Processing Set Theory Basics Logic Operations for binary images, Dilation, Erosion Hit or Miss transformations Opening and closing.
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