III B.E. (Information Technology)

VII SEMESTER

8 IT 04.4 IMAGE PROCESSING AND PATTERN RECOGNITION

  1. Introduction: What is digital image processing? 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 negative, log transformation, power-low transformation, Histogram equalization and matching. Smoothing spatial and sharpening filters.

  4. Image Restoration: Image restoration model, Noise Models – Spatial found frequency properties of noise, noise probability density function. Noise only spatial filters-Mean falter orders – statistics filter and adaptive filters. Frequency domain filters – Band reject filters, Band pass filters and Notch filter.

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

Recommended Books :

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 – Digital Inage Processing – PHI.