Histogram equalization in Rust
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Updated
Jun 10, 2024 - Rust
Histogram equalization in Rust
Coding computer vision related algorithms from "scratch".
This lab explores essential image enhancement techniques using OpenCV in Python. Tasks include Contrast Stretching, Thresholding and Half Toning, Histogram Equalization, and Histogram Matching.
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Image Processing with openCV4 & Python
Perform Histogram Analysis and perform various histogram-based enhancements, including histogram shift, histogram equalization, and contrast stretching. These techniques aim to improve the visual quality and enhance the contrast of digital images.
Image processing employs filters like Histogram Equalization and Gaussian for enhancement, with metrics like PSNR and SSIM evaluating image quality and similarity.
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All Project
This module attempts to enhance contrast of a given image by equalizing its two dimensional histogram.
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Computer Vision and Image Processing examples/implementations
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