A Modified Retinex Algorithm for Visualization of High Dynamic Range Images

Yongjun Zhuang, Lei Liang, Dongqun Xu
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引用次数: 1

Abstract

To solve the problem of high dynamic range (HDR) image visualization in consumer electronics products, this paper proposes an improved Retinex algorithm. The proposed algorithm has three aspects of improving the traditional center/surround Retinex algorithm: First, fast bilateral filter is used instead of Gaussian filter, which not only avoids the halo artifact, but also improves the computing speed. Second, a semi-automatic gain/offset method independent of color channels is developed, which can automatically calculate the position of the clip off in the histogram based on the image content, and effectively improve the contrast of the final image. Finally, unique user parameters can be obtained based on the integration of a large number of parameters in the traditional Retinex, and this parameter allows the user to achieve a balance between computational speed and image quality. Compared with other types of HDR image visualization algorithms, the proposed algorithm has excellent visibility detail and color fidelity. It can be used in consumer digital cameras, monitors, and image post-rendering software.
用于高动态范围图像可视化的改进Retinex算法
为了解决消费类电子产品的高动态范围(HDR)图像可视化问题,本文提出了一种改进的Retinex算法。该算法对传统的中心/环绕Retinex算法进行了三方面的改进:一是采用快速双边滤波器代替高斯滤波器,既避免了光环伪影,又提高了计算速度;其次,提出了一种独立于颜色通道的半自动增益/偏移方法,可以根据图像内容自动计算出截断点在直方图中的位置,有效地提高了最终图像的对比度。最后,基于传统Retinex中大量参数的整合,可以获得唯一的用户参数,该参数可以让用户在计算速度和图像质量之间达到平衡。与其他类型的HDR图像可视化算法相比,该算法具有良好的可见性细节和色彩保真度。它可用于消费类数码相机、监视器和图像后期渲染软件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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