Book Details

Digital Image Processing

Digital Image Processing

Published by uLektz

Course Code:RT41043


University: JNTU Kakinada


Categories:Electronics & Communication

Format : ico_bookePUB3 (DRM Protected)

Type :eBook

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Description :Digital Image Processing of RT41043 covers the latest syllabus prescribed by JNTU Kakinada for regulation 2013. Author: uLektz, Published by uLektz Learning Solutions Private Limited.

Note : No printed book. Only ebook. Access eBook using uLektz apps for Android, iOS and Windows Desktop PC.

Unit-1 Introduction

1.1 Origins of digital image processing, uses digital image processing, fundamental steps in digital image processing, components of an image processing system, digital image fundamentals

1.2 Elements of visual perception, light and electromagnetic spectrum, imaging sensing and acquisition, image sampling and quantization. Some basic relationships between pixels, an introduction to the mathematical tools used in digital image processing

1.3 Image Transforms:Need for image transforms, Spatial Frequencies in image processing

1.4 Introduction to Fourier transform, discrete Fourier transform, fast Fourier transform and its algorithm, properties of Fourier transform.

1.5 Discrete sine transforms. Walsh Transform. Hadamard transform, Haar Transform. Slant transforms, SVD and KL Transforms or Hotelling Transform\

Unit-2 Intensity Transformations and Spatial Filtering

2.1 Background, Some basic intensity transformation functions, histogram processing

2.2 Fundamentals of spatial filtering, smoothing spatial filters, sharpening spatial filters,Combining spatial enhancement methods, using fuzzy techniques for intensity transformations and spatial filtering

2.3 Filtering in the frequency domain:Preliminary concepts, Sampling and the Fourier transform of sampled functions, the discrete Fourier transform (DFT) of one variable, Extension to functions of two variables, some properties of the 2-D Discrete Fourier transform

2.4 The Basic of filtering in the frequency domain, image smoothing using frequency domain filters, Selective filtering, Implementation

Unit-3 Image restoration and Reconstruction

3.1 A model of the image degradation / Restoration process, Noise models, restoration in the presence of noise only-Spatial Filtering

3.2 Periodic Noise Reduction by frequency domain filtering, Linear, Position –Invariant Degradations, Estimation the degradation function

3.3 Inverse filtering, Minimum mean square error(Wiener) filtering ,constrained least squares filtering ,geometric mean filtering ,image reconstruction from projections

Unit-4 Color image processing

4.1 Color fundamentals, color models, pseudo color image processing, basic of full color image processing, color transformations, smoothing and sharpening

4.2 Image segmentation based on color, noise in color images, color image compression.

Unit-5 Wavelets and Multi-resolution Processing

5.1 Image pyramids, sub band coding & Haar transforms multi resolution expressions

5.2 Wavelet transforms in one dimensions. The fast wavelets transform, wavelet transforms in two dimensions, wavelet packets

5.3 Image compression: Fundamentals, various compression methods-coding techniques, digital image water marking

Unit-6 Morphological image processing

6.1 Preliminaries Erosion and dilation, opening and closing, the Hit-or-miss transformation, some Basic Morphological algorithms

6.2 Grey –scale morphology Image segmentation: Fundamentals, point, line, edge detection thresholding,

6.3 Region –based segmentation, segmentation using Morphological watersheds, the use of motion in segmentation