Sugimoto Yuki, Imaizumi Shoko
Graduate School of Science and Engineering, Chiba University, 1-33 Yayoicho, Inage-ku, Chiba 263-8522, Japan.
Graduate School of Engineering, Chiba University, 1-33 Yayoicho, Inage-ku, Chiba 263-8522, Japan.
J Imaging. 2022 Jan 28;8(2):27. doi: 10.3390/jimaging8020027.
This paper proposes a reversible image processing method for color images that can independently improve saturation and enhance brightness contrast. Image processing techniques have been popularly used to obtain desired images. The existing techniques generally do not consider reversibility. Recently, many reversible image processing methods have been widely researched. Most of the previous studies have investigated reversible contrast enhancement for grayscale images based on data hiding techniques. When these techniques are simply applied to color images, hue distortion occurs. Several efficient methods have been studied for color images, but they could not guarantee complete reversibility. We previously proposed a new method that reversibly controls not only the brightness contrast, but also saturation. However, this method cannot fully control them independently. To tackle this issue, we extend our previous work without losing its advantages. The proposed method uses the HSV cone model, while our previous method uses the HSV cylinder model. The experimental results demonstrate that our method flexibly controls saturation and brightness contrast reversibly and independently.
本文提出了一种用于彩色图像的可逆图像处理方法，该方法可以独立提高饱和度并增强亮度对比度。图像处理技术已被广泛用于获取所需图像。现有技术通常不考虑可逆性。最近，许多可逆图像处理方法得到了广泛研究。以前的大多数研究都基于数据隐藏技术研究了灰度图像的可逆对比度增强。当这些技术简单地应用于彩色图像时，会出现色调失真。已经针对彩色图像研究了几种有效的方法，但它们不能保证完全可逆性。我们之前提出了一种新方法，该方法不仅可以可逆地控制亮度对比度，还可以控制饱和度。然而，这种方法不能完全独立地控制它们。为了解决这个问题，我们在不失去其优点的情况下扩展了我们之前的工作。所提出的方法使用HSV圆锥模型，而我们之前的方法使用HSV圆柱模型。实验结果表明，我们的方法可以灵活地可逆且独立地控制饱和度和亮度对比度。
