III B.E. (Computer Engg.)

VIII SEMESTER

8 CP4.3 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.

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, noise probability density functions. Noise -only spatial filter -Mean filter, order –statistics filter and adaptive filters. Frequency domain filters -Band reject filters, Band pass filters and Notch filters.

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

Recommended Books :

1.      Refael 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 0- Digital Image Processing, PHI