JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Pre-requisites

Nil.

UNIT - I

Digital Image Fundamentals: Digital Image Processing System, Applications, Digitization of an image – Spatial and Intensity Quantization, Quality of an Image – Spatial resolution, Brightness Representation, Noise Content, Color Images Image Transforms: Unitary, 1D-DFT, 2D-DFT, Discrete Cosine Transform (DCT) and Discrete Sine Transform (DST)

UNIT - II

Image Enhancement: Spatial domain, frequency domain methods, Histogram equalization, Mask Processing: Image Smoothing, Image sharpening (filters). Image Segmentation – Masks – Point detection – Line Detection – Edge Detection.

UNIT - III

Image Restoration: Model of the image Degradation Process, Restoration in the presence of noise only spatial filtering, periodic Noise reduction by Frequency Domain Filtering, Inverse Filtering, Minimum Mean Square Error (Weiner) Filtering, Least Squares Filtering.

UNIT - IV

Image Compression: Fundamentals, Image compression Models, Error-free Compression, Lossy Compression, Image Compression Standards.

UNIT - V

Processing of Medical Images: Processing and Feature Extraction of CT, MRI, Ultrasound and PET Images.

TEXT BOOKS:

• 1. Geoff Dougherty, Digital Image Processing for medical Applications. Cambridge University Press, 2007.
• 2. Kayvan Nataraian and Robert Splinter, Biomedical Signal and Image Processing, CRC Press, Taylor and Francis, 2006.
• 3. Digital Image Processing – by R.C. Gonzalez & R.E. Woods, Addison Wesley.

REFERENCE BOOKS:

• 1. Pattern Recognition Principles – J.T.TOU.R.C. Gonzalez, Addison Wesley.
• 2. Fundamentals of Digital Image Processing – by A.K. Jain, PHI Pearson Education R16 B.TECH BIOMEDICAL ENGG.