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Gray world based color correction and intensity preservation for image enhancement

机译:基于灰度世界的色彩校正和强度保留,以增强图像

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Images captured by digital cameras are vulnerable to quality degradations due to non-ideal illumination conditions such as dominated lighting source colors, where images so obtained may not faithfully reproduce the scene chromatics accurately. While it is a complicated process to control the scene illumination, color correction used as a post-processing procedure, is becoming an attractive solution. This research has developed an approach for color correction based on a modified implementation of the gray world assumption. The image color is adjusted by employing a gamma correction to satisfy the gray world assumption and avoid color saturation as encountered in the conventional approach. In order to further improve the image visual quality, an intensity preservation criterion is adopted as an additional means to produce the resultant image. With the normalization of intensity in accordance with the original image, an enhanced image both in color and intensity, is finally obtained. A collection of color images are used in an experiment to verify the proposed algorithm. Results have indicated that the proposed method is effective in producing enhanced images in the context of color enhancements.
机译:由于不理想的照明条件(例如主导的光源颜色),数码相机捕获的图像容易受到质量下降的影响,在这种情况下,如此获得的图像可能无法如实地准确地再现场景色。尽管控制场景照明是一个复杂的过程,但是用作后期处理过程的色彩校正正成为一种有吸引力的解决方案。这项研究已经开发出一种基于修正后的灰色世界假设的颜色校正方法。通过采用伽玛校正来调整图像颜色,以满足灰色世界的假设并避免传统方法遇到的颜色饱和。为了进一步改善图像的视觉质量,采用强度保持标准作为产生结果图像的附加手段。通过根据原始图像对强度进行归一化,最终获得色彩和强度都得到增强的图像。在实验中使用了彩色图像的集合来验证所提出的算法。结果表明,所提出的方法在色彩增强的情况下可有效地产生增强的图像。

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