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Module I: Image Processing - Fundamentals (10 hrs)
Introduction to Digital Image, Representation;
Image Processing to Computer Vision: Low Level, Mid Level and High Level Image Processing with examples.
Sensing and Acquisition, Sampling and Quantization, Image Resolution and Storage, Convolution, Basic Relationship between pixels; Monadic Operators
Module II: Image Histogram, Image Enhancement (10 hrs)
Histogram: Formation of Image Histogram; Characteristics Properties of Images derived from Histogram.
Algorithms for Enhancement of Images: Contrast Stretching, Linear, Piecewise; Non-Linear - Logarithmic, Exponential, Gamma Correction.
Histogram Based Enhancement: Histogram Equalization; Histogram Specification.
Module III: Edge Detection Algorithms (10 hrs)
Mathematical Foundation: First Order and Second order Derivative.
Edge Models: Step, Ramp and Roof Edge.
Algorithms: Robert, Sobel, Prewitt, Laplacian.
Color Image Fundamentals: Light and Color, Chromatic and Achromatic.
Color Models: RGB, HSI, CMY, CMYK, YIQ, YUV, Color Conversions.
Module IV: Fundamentals of Video Processing (10 hrs)
Video data, video acquisition, video representation, general mathematical operations for video processing
Sampling in spatial and temporal domains, sampling conversion, video to frames and frames to video
Pre-filter in video cameras, interpolation filter in video displays, Fourier analysis of video sequence, spatial frequency, temporal frequency, temporal frequency caused by motion.
Module V: Video data acquisition and formats (10hrs)
Video data representation, sensors for video acquisition, working of digital camera (block diagram), camera resolution and color conversion, types of video cameras
Visible, IR, thermal and other forms of video data, difference between medical video and generic video
Color perception and specifications, color representation, video formats (NTSC, SECAM, PAL, VGA, QVGA, SVGA, XGA, HD, WUXGA, and QSXGA), video storage requirements, video indexing, video summarization and retrieval
Module I to III:
Display the Output
Vary the values of brightness and contrast and study their effects on the image
Mini project on image and video processing.
Dr. Jharna Majumdar joined as Prof. of Eminence, School of Engineering & Technolog[y [SoET], BBSR Campus on Januare 2021. Prior to this, Dr, Majumdar worked Dean R & D, Prof. Dept of M Tech Comp Sc & Engg. and Head, Centre for Robotics Research an d Centre For Space Research at the Nitte Meenakshi Institute […]