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Hue Preservation using Enhanced Integrated Multi-scale Retinex for Improved Color Correction

机译:使用增强的集成多尺度Retinex进行色相保存以改善色彩校正

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摘要

The images captured by most current digital cameras suffer from a narrow dynamic range that results in poor color fidelity and perceived image quality. Accordingly, this article proposes an enhanced integrated multi-scale Retinex (IMSR) method in a device-independent color space, namely, CIELAB, to preserve the hue and obtain a high contrast and naturalness. To achieve the desired objectives, a captured sRGB image is transformed into CIELAB color space using standard equations, then the IMSR is applied to only the L* values, thereby preserving the balance of the color components, hue, and saturation. However, since this process causes unnatural undersaturation, a saturation adjustment is performed by applying a simple saturation compensation method, which maintains the chromatic ratio with respect to the sRGB gamut boundary according to the variation in the luminance. The adjusted CIELAB values are then transformed into sRGB using an inverse transform function. In experiments, the proposed method showed an improved visibility in both dark and bright regions, while reducing color distortion. Furthermore, in an observation preference test, the images resulting from the proposed method were perceived as having a higher visibility and naturalness.
机译:当前大多数数码相机捕获的图像都具有较窄的动态范围,从而导致较差的色彩保真度和可感知的图像质量。因此,本文提出了一种在与设备无关的色彩空间(即CIELAB)中增强的集成多尺度Retinex(IMSR)方法,以保留色调并获得高对比度和自然度。为了达到期望的目的,使用标准方程式将捕获的sRGB图像转换为CIELAB色彩空间,然后将IMSR仅应用于L *值,从而保持色彩分量,色相和饱和度的平衡。但是,由于该处理导致不自然的欠饱和,因此通过应用简单的饱和度补偿方法来执行饱和度调整,该方法根据亮度的变化维持相对于sRGB色域边界的色度比。然后,使用反变换功能将调整后的CIELAB值变换为sRGB。在实验中,提出的方法在暗和亮区域均显示出改进的可见性,同时减少了颜色失真。此外,在观察偏好测试中,从提出的方法得到的图像被认为具有较高的可见度和自然度。

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  • 来源
    《Journal of Imaging Science and Technology》 |2011年第1期|p.010504.1-010504.10|共10页
  • 作者单位

    School of Electronics Engineering, Kyungpook National University, 1370 Sankyuk-dong, Buk-gu, Daegu 702-701, Korea;

    School of Electronics Engineering, Kyungpook National University, 1370 Sankyuk-dong, Buk-gu, Daegu 702-701, Korea;

    Department of Computer Engineering, Andong National University, 388 Seongcheon-dong, Andong, Gyeongsangbuk-Do 760-749, Korea;

    School of Electronics Engineering, Kyungpook National University, 1370 Sankyuk-dong, Buk-gu, Daegu 702-701, Korea;

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