Digital Image Processing JNTU-H 18 Course (IV - I – (ECE) - Professional Elective – III), (III-I (CSE/IT) Professional Elective – I) (EC713PE/ E1812PE / CS514PE)  (Paperback, Anamitra Nimbalkar-Deshmukh)

Syllabus Digital Image Processing (EC713PE/EI812PE) UNIT - I Digital Image Fundamentals & Image Transforms : Digital Image Fundamentals, Sampling and Quantization, Relationship between Pixels. Image Transforms : 2-D FFT, Properties, Walsh Transform, Hadamard Transform, Discrete Cosine Transform, Haar Transform, Slant Transform, Hotelling Transform. (Chapter - 1) UNIT - II Image Enhancement (Spatial Domain) : Introduction, Image Enhancement in Spatial Domain, Enhancement through Point Processing, Types of Point Processing, Histogram Manipulation, Linear and Non - Linear Gray Level Transformation, Local or Neighborhood criterion, Median Filter, Spatial Domain High-Pass Filtering. Image Enhancement (Frequency Domain) : Filtering in Frequency Domain, Low Pass (Smoothing) and High Pass (Sharpening) Filters in Frequency Domain. (Chapter - 2) UNIT - III Image Restoration : Degradation Model, Algebraic Approach to Restoration, Inverse Filtering, Least Mean Square Filters, Constrained Least Squares Restoration, Interactive Restoration. (Chapter - 3) UNIT - IV Image Segmentation : Detection of Discontinuities, Edge Linking And Boundary Detection, thresholding, Region Oriented Segmentation. Morphological Image Processing : Dilation and Erosion : Dilation, Structuring Element Decomposition, Erosion, Combining Dilation and Erosion, Opening and Closing, Hit or Miss Transformation. (Chapter - 4) UNIT - V Image Compression : Redundancies and their Removal Methods, Fidelity Criteria, Image Compression Models, Huffman and Arithmetic Coding, Error Free Compression, Lossy Compression, Lossy and Lossless Predictive Coding, Transform Based Compression, JPEG 2000 Standards. (Chapter - 5) , Syllabus Image Processing (CS514PE) UNIT - I Digital Image Fundamentals : Digital Image through Scanner, Digital Camera. Concept of Gray Levels. Gray Level to Binary Image Conversion. Sampling and Quantization. Relationship between Pixels. Imaging Geometry. 2D Transformations-DFT, DCT, KLT and SVD. (Chapter - 1) UNIT - II Image Enhancement in Spatial Domain Point Processing, Histogram Processing, Spatial Filtering, Enhancement in Frequency Domain, Image Smoothing, Image Sharpening. (Chapter - 2) UNIT - III Image Restoration Degradation Model, Algebraic Approach to Restoration, Inverse Filtering, Least Mean Square Filters, Constrained Least Squares Restoration, Interactive Restoration. (Chapter - 3) UNIT - IV Image Segmentation Detection of Discontinuities, Edge Linking and Boundary Detection, Thresholding, Region Oriented Segmentation. (Chapter - 4) UNIT - V Image Compression Redundancies and their Removal Methods, Fidelity Criteria, Image Compression Models, Source Encoder and Decoder, Error Free Compression, Lossy Compression. (Chapter - 5)