Abstract: Previous studies have shown how to “fingerprint” certain image processing operation. In this paper, we model the gray-level cumulative distribution of histogram-equalized image as discrete ...

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 computer image processing technique used to improve contrast in images. It accomplishes this by effectively spreading out the most frequent intensity values, i.e.

Abstract: This paper presents a simplified implementation of Histogram Equalization by adding offset values to the Histogram bins. The proposed approach helps to simplify the division/multiplication ...

There are many ways in which the human visual system works to reduce the inherent redundancy of the visual information in natural scenes, coding it in an efficient way. The non-linear response curves ...

These days, image processing is crucial, particularly when it comes to enhancing brightness, contrast, and image quality. The goal of this research is to develop three distinct methods for ...

分析屋の堀井です。 今回はTidyverseというRを語るうえで欠かせないパッケージ群の中からggplot2を用いたヒストグラムの書き方を紹介しようと思います。 普段はライフサイエンス部で機械学習・深層学習を用いて人による判断の自動化を行っています。