IT6005 Digital Image Processing  

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Subject Informations : 

University        :  Anna University
Department     :  B.TECH INFORMATION TECHNOLOGY
Semester          : 07 th sem / ELECTIVE II
Year                  : 04 th year ( Fiaal year )
Regulation       : R2013
Subject Code   : IT6005
Subject Name  : Digital Image Processing

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IT6005 DIGITAL IMAGE PROCESSING – SYLLABUS – R- 2013 

OBJECTIVES:

The student should be made to:

 Learn digital image fundamentals
 Be exposed to simple image processing techniques
 Be familiar with image compression and segmentation techniques
 Learn to represent image in form of features

UNIT I DIGITAL IMAGE FUNDAMENTALS

Introduction – Origin – Steps in Digital Image Processing – Components – Elements of Visual
Perception – Image Sensing and Acquisition – Image Sampling and Quantization – Relationships
between pixels – color models

UNIT II IMAGE ENHANCEMENT 

Spatial Domain: Gray level transformations – Histogram processing – Basics of Spatial Filtering–
Smoothing and Sharpening Spatial Filtering – Frequency Domain: Introduction to Fourier Transform
– Smoothing and Sharpening frequency domain filters – Ideal, Butterworth and Gaussian filters

UNIT III IMAGE RESTORATION AND SEGMENTATION 
Noise models – Mean Filters – Order Statistics – Adaptive filters – Band reject Filters – Band pass
Filters – Notch Filters – Optimum Notch Filtering – Inverse Filtering – Wiener filtering Segmentation:
Detection of Discontinuities–Edge Linking and Boundary detection – Region based segmentationMorphological
processing- erosion and dilation

UNIT IV WAVELETS AND IMAGE COMPRESSION 

Wavelets – Subband coding – Multiresolution expansions – Compression: Fundamentals – Image
Compression models – Error Free Compression – Variable Length Coding – Bit-Plane Coding –
Lossless Predictive Coding – Lossy Compression – Lossy Predictive Coding – Compression
Standards

UNIT V IMAGE REPRESENTATION AND RECOGNITION

Boundary representation – Chain Code – Polygonal approximation, signature, boundary segments –
Boundary description – Shape number – Fourier Descriptor, moments- Regional Descriptors –
Topological feature, Texture – Patterns and Pattern classes – Recognition based on matching.

Also check :

IT6005 Digital Image Processing v Notes – Click here to Download 

IT6005 Digital Image Processing  Questions Papers – Click here to Download 

IT6005 Digital Image Processing  2 marks with answers – Click here to Download 

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