UNIT – I
DIGITAL IMAGE FUNDAMENTALS & IMAGE TRANSFORMS
DIGITAL IMAGE FUNDAMENTALS & IMAGE TRANSFORMS
Part-A--Two
Mark Questions:
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Define Image.How do you represent the digital images?
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Define Pixel or picture elements.
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Steps in DIP.
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Elements of DIP.
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Brightness adaptation and discrimination.
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Difference between rods and cones.
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Weber ratio
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Mach band effect
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Simultaneous contrast
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List the hardware-oriented color models.
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Sampling and quantization
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Zooming and shrinking.
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Moiré pattern
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False contouring
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Dither
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Checker board effect
Part--B-Big
Questions:
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List the steps involved in digital image processing
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Elements or components of DIP
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Elements of Visual perception
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Digital camera & Vidicon camera
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Image sampling and quantization (How an analog image can be converted to digital?)
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Image Sensing and acquisition devices
UNIT
– 2
Two
Mark Questions:
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Define image enhancement.
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Gray level transformation
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Contrast stretching & gray level slicing.
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Thresholding
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Histogram
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Histogram equalization & specification
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Smoothing filter
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Sharpening filter
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Spatial filter
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Derivative filter types
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Robert cross, Prewitt & Sobel operators
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Unsharp masking
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High boost filtering
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Frequency domain filtering
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Homomorphic filtering
Big
Questions:
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Histogram equalization
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Histogram specialization
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Spatial smoothing filter: Linear & Non-Linear
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Spatial sharpening filter
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Homomorphic filter
UNIT
-3
Two
Mark Questions:
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Draw image degradation model.
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Median filter
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Order statistics filter
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Inverse filtering
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Wiener filtering/ LMS filtering
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Blind image restoration
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How edges are detected in an image?
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Zero crossing property
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LoG/Mexican hat function
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Thresholding
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Region growing, splitting and merging
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Watershed segmentation
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Catchment Basin (or) Watershed
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Markers
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How dams are constructed in watershed?
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Drawbacks of Watershed
Big
Questions:
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Image restoration/degradation models
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Spatial restoration filters: Mean, Order statistics and Adaptive
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Frequency restoration filters: Band reject, Band pass, Notch and Optimum Notch
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Restoration filter: Inverse and Wiener/LMS filters
UNIT-4
Two
Mark Questions:
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What is the need of Wavelet Transform?
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What is MRA?
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Difference between Lossless and Lossy compression.
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Types of redundancy& its definition
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Define compression ratio
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Define block and instantaneous code
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Huffman coding
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Arithmetic coding
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JPEG
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MPEG
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I – frame, P- frame and B-frame definition
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Zig-Zag sequence
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Vector quantization
Big
Questions:
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Lossless predictive coding
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Lossy predictive coding: Vector quantization and transform coding
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JPEG: Encoder& Decoder
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JPEG 2000
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MPEG
UNIT-5
Two
Mark Questions:
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Define chain codes
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Define polygonal approximation
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Define boundary segment
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Name few boundary descriptors
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Define shape numbers
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Define texture
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Define pattern and pattern class
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Define regional descriptors
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Topological descriptors
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Fourier descriptors
Big
Questions:
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Chain codes
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Polygonal approximation and MPP algorithm
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Signature and boundary segments
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Regional descriptors & topological descriptors
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How the tree approach is used to describe different regions of an image?
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