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Course Detail

Course Name Image Processing
Course Code 15ECE330
Program B. Tech. in Electronics and Communication Engineering
Year Taught 2019


Unit 1

Review of matrices – Vector spaces – Probability and random variables – Origin of digital image processing: Examples of fields that use digital image processing – Elements of visual perception brightness and contrast – Image sensing and acquisition – Image sampling and quantization – Some basic relationships between pixels. Image Enhancement in spatial domain: Some basic gray level transformations – Histogram processing – Enhancement using arithmetic/logic operations – Basics of spatial filtering – Smoothing and sharpening spatial filters

Unit 2

Image enhancement in frequency domain: Review of sampling and discrete fourier transform – Image enhancement in the frequency domain. Frequency domain filtering: Smoothing – Sharpening – Homomorphic filtering. Color image processing fundamentals: Pseudo color image processing- Basics of full color image processing.

Unit 3

Image Compression: Image compression models – Error free compression- Lossy compression – Applications of image compression. Image transforms: Introduction to transformation used for image processing applications -Cosine – Hadamard – Haar – Sine – KL Transforms and their properties.

Text Books

  1. Rafael C. Gonzalez and Richard E. Woods, “Digital Image Processing”, Third Edition, Pearson Education India, 2009.


  1. Anil K. Jain, “Fundamentals of digital image processing” Prentice Hall of India Private Limited, 1996.

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