Implementation of a histogram equalization program using CUDA. Histogram equalization is a technique for adjusting image intensities to enhance contrast.
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Updated
Jan 3, 2021 - C++
Implementation of a histogram equalization program using CUDA. Histogram equalization is a technique for adjusting image intensities to enhance contrast.
A set of various image processing algorithms implemented using OpenCV libraries and MATLAB image processing toolbox
Codes for image pre-processing
lab work and final projects
Histogram specification (Equalization) implementation
Implement digital image processing method by using C++, including histogram equalization, edge detection, lowpass/highpass filter and thresholding.
Image Processing Implementations in c++
This repo includes; Image Negative, Logarithmic Transformation, Power-Law (Gamma) Transformation, Averaging Filter, Median Filter, Laplacian Filter, Sobel Gradiant, Histogram Equalization, DFT, Marr and Hildreth, Otsu Thresholding, Global thresholding
image processing
10/2016: Parallelization of an Image Processing Algorithm For Face Recognition on Multicore Platforms
Basic operations for BMP file writen by cpp.
Image Histogram equalization using OpenCL
This repository contains examples for the OpenCV library in C++. It shows the following features: Color changing; Histogram equalization and image filtering; Edge detection and hough transform; Image stitching
Fundamental Computer Vision using C++ without OpenCV
Fall 2023 NYCU Digital Image Processing (DIP)
included Histogram auto process & manual process
[Probability and Statistics] 광운대학교 심동규 교수님 확률과 통계 수업 과제. Histogram Equalization implemented by c++
Image processing from scratch
a digital image enhancement program that will perform contrast adjustment using the histogram equalisation algorithm. The algorithm uses a cumulative intensity histogram to back-project original image intensities resulting in an image of equalised intensities.
A simple Histogram equalization implementation in c++
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