EFFECT FROM THE ACADEMIC YEAR 2013 - 2014

 

EC 413

DIGITAL IMAGE PROCESSING

 

                                                                                                                 (Elective-I)                                                            

Instruction                                                                                                                                                                                       4   Periods per week

Duration of University Examination                                                                                                                                                  3   Hours

University Examination                                                                                                                                                                    75 Marks

Sessional                                                                                                                                                                                        25 Marks

 

UNIT-I

 

Elements of Digital Image Processing Systems, Digital image representation, elements of visual perception, Image sampling and Quantization, Basic Relationships between pixels.

 

UNIT-II

 

Fourier transform, FFT, Discrete cosine transform, Hadamard transform, Haar transform, Slant transform and Hotelling transform and their properties.

 

UNIT-III

 

Spatial enhancement techniques: Histogram equalization, direct histogram specification, Local enhancement.

 

Frequency domain techniques: Low pass, High pass and Homomorphic Filtering, Image Zooming Techniques.

 

UNIT-IV

 

Image Degradation model, Algebraic approach to restoration, inverse filtering, Least mean square filter, Constrained least square restoration and interactive restoration. Speckle noise and its removal techniques.

 

UNIT-V

 

Redundancies for image compression, Huffman Coding, Arithmetic coding, Bit-plane coding, loss less and lossy predictive coding.

 

Transform coding techniques: Zonal coding and Threshold coding.

 

Suggested Reading:

 

1.         Gonzalez R.C. and Woods R.E., “Digital Image Processing,” 2/ e, PHI, 2005.


2.         Vipul Singh, "Digital Image Processing with Matlab and Lab view” Elsevier 2013.

 

3.         Madhuri A.Joshi, “Digital Image Processing: An algorithmic Approach,” PHI, 2006.

 

4.         Qidwai, “Digital Image Processing,” First Indian Reprint 2013, (Taylor & Francis), Yesdee Publications.


 

 

 

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