II B.E. (Electronics & Communication)

VIII SEMESTER

8 EC4.1-IMAGE PROCESSING AND PATTERN RECOGNITION

1. INTRODUCTION: Imaging in ultraviolet and visible band, Fundamental steps in image processing. Components in image processing.

2. DIGITAL IMAGE FUNDAMENTS: Image perception in eye, light and electromagnetic spectrum. Image sensing and acquisition using sensor array. Image Sampling and quantization –Representing digital images, Spatial and gray-level resolution, Aliasing and Moire patterns, Zooming and Shrinking digital images. Relationship between pixels. Camera Model.

3. IMAGE ENHANCEMENT IN SPATIAL DOMAIN: Gray-level transformation -image negatives, log transformation, power-low transformation, Histogram equalization and matching. Smoothing spatial and sharpening filters.

4. IMAGE RESTORATION: Image restoration model, Noise Models - Spatial and frequency properties of noise, probability density functions. Noise -only spatial tiller -Mean filter, order – statistics filter and adaptive filters. Frequency domain filters -Band reject filters, Band pass filters and Notch filters.

5. IMAGE COMPRESSION: Compression Fundamental –Coding Redundancy, Intesrpixel redundancy. Psycho visual redundancy and Fidelity criteria. Image Compression models -Source encoder and decoder, Channel encoder and decoder, Lossy compression and compression standards,

 Recommended Book.. :

1. Rafael C. Gonzalez -Digital  Image  Processing, Pearson Education  Asia.

2. Kenneth R. Castleman -Digital Image Processing, Pearson Education Asia.

3. Nick Effard -Digital Image Processing, Pearson Education Asia.

4. Jain A.K. -Digital Image Processing. Prentice Hall of India.

5. Sonka, Hlavac & Boyle -Image Processing. analysis and Machine Vision. Thomas Learning.