Reversible Image Processing for Color Images with Flexible Control
Reversible Image Processing for Color Images with Flexible Control
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DOI：
10.3390/app13042297
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发表时间：
2023-02
期刊：
影响因子：
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通讯作者：
Yuki Sugimoto;Shoko Imaizumi
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文献类型：
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作者：
Yuki Sugimoto;Shoko Imaizumi
在本文中，我们提出了一种彩色图像的图像处理方法，以可逆地实现灵活的功能。以往的研究大多集中在灰度图像的可逆对比度增强(CE)。当我们将这些方法直接应用于彩色图像时，会造成色调失真。对于彩色图像，已经提出了几种以前的方法。然而，这些方法仅具有CE功能。我们以前提出了一种彩色图像的可逆方法，增强了亮度对比度，改善了饱和度。在保持原有方法优点的基础上，提出了一种扩展图像处理能力的新方法。该方法不仅可逆地实现了CE和饱和度的改善，而且还实现了锐化或平滑以及亮度的增加或减少。它确保了完全可逆性，从而在任何情况下都能完美地重建原始图像。实验结果证明了该方法在图像质量和可逆性方面的有效性。
In this paper, we propose an image processing method for color images to reversibly achieve flexible functions. Most previous research has focused on reversible contrast enhancement (CE) for grayscale images. When we directly apply these methods to color images, hue distortion is caused. Several previous methods have been proposed for color images. These methods, however, only have a CE function. We previously proposed a reversible method for color images that enhances the brightness contrast and improves the saturation. Without losing the advantages of our previous method, we propose a new method to expand the ability of image processing. The proposed method reversibly achieves not only CE and saturation improvement but also sharpening or smoothing and brightness increases or decreases. It ensures full reversibility and thus perfectly reconstructs raw images in any case. The experimental results demonstrate the effectiveness of the proposed method in terms of image quality and reversibility.