Course Details

Subject {L-T-P / C} : EE6131 : Digital Image Processing { 3-0-0 / 3}

Subject Nature : Theory

Coordinator : Prof. Dipti Patra

Syllabus

Module 1: DIGITAL IMAGE FUNDAMENTALS & TRANSFORMS: Elements of visual perception, image sampling and quantization, basic relationship between pixels, basic geometric transformations, 2D Fourier Transform, DFT, FFT, Separable Image Transforms, Walsh – Hadamard, Discrete Cosine Transform, Haar, Slant – Karhunen – Loeve Transforms. [5 hours]

Module 2: IMAGE ENHANCEMENT IN SPATIAL DOMAIN: Some basic gray level transformations, Histogram processing, Smoothing and Sharpening spatial filters, IMAGE ENHANCEMENT IN FREQUENCY DOMAIN: Smoothing and Sharpening frequency domain filters, Homomorphic filtering. [7 hours]

Module 3: IMAGE RESTORATION: Model of Image Degradation/restoration process, Image deformation and geometric transformations, Noise models, inverse filtering, least mean square filtering, constrained least mean square filtering, Blind image restoration, Pseudo inverse, Singular value decomposition. [6 hours]

Module 4: IMAGE COMPRESSION: Image compression models, Loss-less and Lossy compression, MULTIRESOLUTION PROCESSING: Image pyramids, sub-band coding, Harr transform multi resolution, Wavelet transforms. [ 7 hours]

Module 5: MORPHOLOGICAL IMAGE PROCESSING: Dilation and erosion, Opening and closing, Some basic morphological algorithms, IMAGE SEGMENTATION: Boundary detection based methods, region-based methods, template matching, Hough transform, Mean shift, active contours, Use of motion in segmentation [6 hours]

Module 6: COLOUR IMAGE PROCESSING: Devices for Colour Imaging, Colour Image Storage and Processing, Colour Models, Colour Quantization RECENT DEVELOPMENTS. [4 hours]

Course Objectives

Course Outcomes

On successful completion of this course students will be able to: <br />CO1: Demonstrate on broad range of fundamental image processing techniques and concepts (linear and non-linear filtering, denoising, deblurring etc.) <br />CO2: Utility of image compression techniques for storage and transmission purpose. <br />CO3: Demonstrate on broad range of image analysis techniques and concepts (edge detection, segmentation, morphological operators etc.) <br />CO4: Demonstrate on multiresolution image analysis techniques <br />CO5: Demonstrate on Colour imaging, Colour models, and Colour image processing. <br />CO6: Identify, demonstrate and apply their knowledge by analyzing image processing problems and employing (or proposing) effective solutions.

Essential Reading

Supplementary Reading

Journal and Conferences