Syllabus
Fundamental Steps in Digital Image Processing, Elements of Visual Perception, Image Sensing and Acquisition, Components of an Image Processing System, Sampling and Quantization, Representing Digital Images (Data structure) sampling and quantization, Some Basic Relationships between Pixels - Neighbors and Connectivity of pixels in image.
Examples of fields that uses digital Image processing.
Image Enhancement in the Spatial Domain, Correlation and convolution, Some Basic Gray Level Transformations, Intensity transformations, Histogram Processing, Enhancement Using Arithmetic/Logic Operations, Order Statistics, Basics of Spatial Filtering, Smoothing Spatial Filters, Sharpening Spatial Filters, Gradient and Laplacian.
Filtering in the Frequency domain, Fourier Transforms and properties, Convolution, Correlation, Band reject Filters, Band pass Filters, 2-D sampling, Discrete Cosine Transform.
Annotation
The lecture introduces Fundamental Steps in Digital Image Processing.
We assemble most of the procedures needed for basic image data processing in Matlab.
However, advance knowledge of programming is not a prerequisite for participation.