2D Linear Convolution, Circular Convolution between two 2D matrices

Back to: Image Processing

SUBMITTED BY: MR.CHIRAG SHETTY & MS.TEVAR DURGADEVI MURUGAN

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Image Preprocessing Techniques

(A) Roberts FilterPrewitt Filter (B)Sobel Filter (C)Laplacian Filter (D)Median Filter

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Circular Convolution expressed as linear convolution plus alias

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Theory
- Fundamentals of Digital Image
- Digital Image Processing Systems
- Image Enhancement in The Spatial Domain
- Image Filtering in the Spatial Domain
- Fourier Series And Transform In Digital Image Processing
- Digital Image Transforms
- Image Enhancement in the Frequency Domain
- Wavelets and Multiresolution Processing
- Image Compression: Fundamentals
- Image Compression : Error Free And Lossy Compression
- Image Compression Standards
- Morphological Image Processing
- Image Registration & Segmentation
- Image Representation and Description
- Image Processing Using Matlab
Practical’s
- Geometric Transformations
- Image Enhancement
- Basic Image Transformations
- MATLAB Program to plot a Histogram
- Morphological Operations on Image
- Histogram Equalization on image
- Boundary Detection
- Applying DFT on image matrix & Performing the IDFT
- Image Enhancement in Frequency Domain
- Morphological Operation
- Plot the Image details using histogram
- BIT PLANE SLICING
- Region Filling Morphological Operation
- Wavelet Analysis
- HOMOMORPHIC FILTERING
- HISTOGRAM STRETCHING
- Lossy Image Compression
- Lossless Image Compression , Error Free Compression
- Image Enhancement Statistical Filters
- High Boost Filtering
- HUFFMAN Coding
- Discrete Cosine Transform and Inverse Discrete Cosine Transform
- Image Preprocessing Techniques
BSc Computer Science PRACTICALS University of Mumbai
- 2D Linear Convolution, Circular Convolution between two 2D matrices
- Circular Convolution expressed as linear convolution plus alias
- Linear Cross correlation of a 2D matrix, Circular correlation between two signals and Linear auto correlation of a 2D matrix, Linear Cross correlation of a 2D matrix
- DFT of 4×4 gray scale image
- Compute discrete cosine transform, Program to perform KL transform for the given 2D matrix
- Brightness enhancement of an image, Contrast Manipulation, image negative
- Perform threshold operation, perform gray level slicing without background
- Image Segmentation
- Image Compression
- Binary Image Processing
- Colour Image processing