Histogram equalization is a technique that enhances the contrast of an image by spreading out its pixel values more evenly. It can be useful for improving the visibility of features or details in ...

ここでは、ヒストグラムの均一化について学習したことをメモします。 画像の明るさやコントラストを改善する基本的な処理のひとつに「ヒストグラムの均一化（Histogram Equalization）」があります。 本記事では、その概要と実際のPythonコードによる実装方法 ...

This repository demonstrates histogram equalization on grayscale images using OpenCV and visualizes the before/after histograms to verify how the intensity distribution changes. Histogram equalization ...

Histogram equalization is a method used in image processing to improve the contrast of the image. The basic principle of Histogram equalization is to spread out the high frequency pixels so that areas ...

In image processing, the goal isn’t always to analyze or classify an image directly—it often begins with enhancing it. Whether you’re trying to improve a medical scan, reveal details in a satellite ...