BE Computer Engineering Semester 7 (BE Fourth Year)University of Mumbai
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Image Processing Semester 7 (BE Fourth Year) BE Computer Engineering University of Mumbai Topics and Syllabus

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CBCGS [2019 - current]
CBGS [2015 - 2018]
Old [2000 - 2014]

Topics with syllabus and resources

100.00 Digital Image and Video Fundamentals
  • Introduction to Digital Image, Digital Image Processing System, Sampling and Quantization, Representation of Digital Image, Connectivity
  • Image File Formats:- BMP, TIFF and JPEG.
  • Colour Models (RGB, HSI, YUV) Introduction to Digital Video, Chroma Sub-sampling, CCIR standards for Digital Video
200.00 Image Enhancement
  • Gray Level Transformations
  • Zero Memory Point Operations
  • Histogram Processing
  • Neighbourhood Processing
  • Spatial Filtering
  • Smoothing and Sharpening Filters
  • Homomorphic Filtering
300.00 Image Segmentation and Representation
  • Detection of Discontinuities, Edge Linking using Hough Transform, Thresholding, Region based Segmentation, Split and Merge Technique, Image Representation and Description, Chain Code, Polygonal Representation, Shape Number, Moments.
400.00 Image Transform
  • Introduction to Unitary Transform
  • Discrete Fourier Transform(DFT), Properties of DFT
  • Fast Fourier Transform(FFT)
  • Discrete Hadamard Transform(DHT)
  • Fast Hadamard Transform(FHT)
  • Discrete Cosine Transform(DCT)
  • Discrete Wavelet Transform(DWT)
500.00 Image Compression
  • Introduction, Redundancy, Fidelity Criteria
  • Lossless Compression Techniques:- Run Length Coding, Arithmetic Coding, Huffman Coding, Differential PCM
  • Lossy Compression Techniques:- Improved Gray Scale Quantization, Vector Quantization, JPEG, MPEG-1.
600.00 Binary Image Processing
  • Binary Morphological Operators, Hit-or-Miss Transformation, Boundary Extraction, Region Filling, Thinning and Thickening, Connected Component Labeling, Iterative Algorithm and Classical Algorithm.
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