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Enhanced HDR Image Rendering Method using Visual Acuity Based Edge Separation

机译:使用基于视敏度的边缘分离的增强型HDR图像渲染方法

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iCAM06 is a high dynamic range (HDR) imaging technology. However, the base-detail separation, chromatic adaptation, and tone compression algorithms included in iCAM06 cause problems in image quality. This study focuses on the desaturation, poor contrast, and noise problems found in the dark regions. First, we discuss desaturation compensation using the visual acuity characteristics for various illuminant levels. The edge stop function of the bilateral filter in the iCAM06 method is adoptively modified according to the illuminant information. Second, in order to reduce the magnified noise in the dark regions due to tone compression, the shadow regions are detected by an object's intensity and illuminant level, and the noise of the detected regions is then reduced using a luminance-adaptive coring function. Finally, we confirmed that the color saturation and image contrast are enhanced and the noise reduced for dark objects through the use of the proposed methods.
机译:ICAM06是一种高动态范围(HDR)成像技术。但是,ICAM06中包含的基本细节分离,色度自适应和音调压缩算法导致图像质量问题。本研究侧重于黑暗地区的去饱和,对比度和噪音问题。首先,我们讨论使用视锐度特性进行各种发光水平的去饱和补偿。根据发光体信息,采用ICAM06方法中双侧滤波器的边缘停止功能。其次,为了降低由于色调压缩引起的暗区中的放大噪声,通过对象的强度和发光水平检测影区域,然后使用亮度自适应取芯功能减少检测区域的噪声。最后,我们确认通过使用所提出的方法,提高了颜色饱和度和图像对比度,并且通过使用该方法减少了暗对象的噪声。

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