SJTU CS386 Digital Image Processing
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Updated
Jan 16, 2018 - MATLAB
SJTU CS386 Digital Image Processing
Image Processing Algorithms Implemented in Matlab
Histogram equalization is a technique for adjusting image intensities to enhance contrast.
digital-image processing implementations
Digital Signals and Image Processing Programs
Basic Image Processing in C, Matlab and Python
Implementation of paper 'Two Step Approach for Single Underwater Image Enhancement'
Brightness Persevering Bi-Histogram Equalization (BBHE) using Matlab
Digital Image Processing example which is equalizing histogram of the image without using histeq function in matlab.
CS663 - Digital Image Processing Programming Assignments
This repo compiles various blind image quality acessment methods focused on contrast evaluation. Only code that works in Python or Octave.
Image Processing Implementation
Image Reading, writing, histogram, histogram equalization, local histogram equalization, low pass filter, high pass filter, geometrical transformation
Implementation of some functions like resize, rotate, histogram equalisation, adaptive histogram equalisation, histogram matching, bit plane slicing and tie point reconstruction from the image processing toolbox in Matlab.
All codes written by me in my Digital Image Processing & Analysis course.
This Repository demonstrates how can one apply various image pre-processing, image processing & image post-processing techniques in MATLAB environment.
Includes image smoothing, sharpening, and hough transfer.
Digital image processing in Spatial domain
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