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    • 3. 发明授权
    • 확률적 렌더링에 따른 이미지의 잡음 제거 방법
    • 噪声降低图像的噪声减少方法
    • KR101282700B1
    • 2013-07-05
    • KR1020120024843
    • 2012-03-12
    • 한국과학기술원
    • 윤성의문보창김근호전종윤이종협
    • G06T15/50G06T15/80G06T5/00
    • G06T15/80G06T15/50
    • PURPOSE: A noise removal method of an image according to the probabilistic rendering is provided to preserve the image feature of an input noise image, which is obtained through the probabilistic rendering, and effectively remove the noise; thereby improving the image quality. CONSTITUTION: An input noise image (110) is obtained through the probabilistic rendering (100). As a dispersed ray tracing (200) using the flash shading is performed to an object, which is equal to an object of the input noise image, the support images (210,220) are obtained. After the input noise image and the support images are inputted, a result image (310) is obtained by a joint bidirectional filtering (300) of the input noise image and the support images. The support images are used as an estimate value of the input noise image. [Reference numerals] (100) Probabilistic rendering; (110) Input noise image; (200) Dispersed ray tracing; (210) Virtual flash image; (220) Depth image; (300) Joint bidirectional filtering; (310) Result image
    • 目的:提供根据概率渲染的图像的噪声去除方法,以保留通过概率渲染获得的输入噪声图像的图像特征,并有效地消除噪声; 从而提高图像质量。 构成:通过概率渲染(100)获得输入噪声图像(110)。 对于与输入的噪声图像的对象相等的对象,执行使用闪光遮蔽的分散光线跟踪(200),获得支持图像(210,220)。 在输入输入噪声图像和支持图像之后,通过输入噪声图像和支持图像的联合双向滤波(300)获得结果图像(310)。 支持图像用作输入噪声图像的估计值。 (附图标记)(100)概率渲染; (110)输入噪声图像; (200)分散光线跟踪; (210)虚拟闪存映像; (220)深度图像; (300)联合双向滤波; (310)结果图像