A genetic algorithm approach to color image enhancement

In this paper, we propose a novel method to enhance images with both over- and under-exposures by learning to estimate and correct such color shifts.

We propose NamedCurves, a learning-based image enhancement technique that separates the image into a small set of named colors.

This paper reviews some image enhancement techniques developed specifically for gray- images and presents an extension and application to color images of a ...

This paper presents a new color image enhancement method. In color image processing, hue preserving is required. The proposed method is performed into the ...

The paper proposes CCM, a method using a channel-aware residual network and a differentiable intensity histogram to learn color representations for low-light  ...

在做影像處理或電腦視覺特效前，影像增強是不可或缺的步驟之一，經由增強影像的步驟能更有效地在後續的彩色影像轉灰階影像的處理中保留更多的對比，我運用兩個新的色彩空間 ...

This paper proposes a color image enhancement method that can select hues to be enhanced arbitrarily. The current chroma is considered such that near ...

This paper presents a literature review on some of the image Enhancement techniques for color image enhancement like, Contrast Stretching, Histogram ...

In this study, a genetic algorithm (GA) approach to color image enhancement is proposed, in which color image enhancement is formulated as an optimization ...

在電腦視覺領域中，圖像增強（Image Enhancement）是一個基礎且重要的技術。它可以改善圖像的質量，增加其對象的可見度、清晰度和對比度，從而使圖像更容易被人 ...