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    • 57. 发明授权
    • Silicon carbide single crystal, silicon carbide substrate and manufacturing method for silicon carbide single crystal
    • 碳化硅单晶,碳化硅基板和碳化硅单晶的制造方法
    • US08013343B2
    • 2011-09-06
    • US11258998
    • 2005-10-27
    • Hiromu ShiomiHiroyuki Kinoshita
    • Hiromu ShiomiHiroyuki Kinoshita
    • H01L29/36C30B23/02C01B31/36
    • C30B29/36C30B23/00Y10S438/931
    • SiC single crystal that includes a first dopant functioning as an acceptor, and a second dopant functioning as a donor is provided, where the content of the first dopant is no less than 5×1015 atoms/cm3, the content of the second dopant is no less than 5×1015 atoms/cm3, and the content of the first dopant is greater than the content of the second dopant. A manufacturing method for silicon carbide single crystal is provided with the steps of: fabricating a raw material by mixing a metal boride with a material that includes carbon and silicon; vaporizing the raw material; generating a mixed gas that includes carbon, silicon, boron and nitride; and growing silicon carbide single crystal that includes boron and nitrogen on a surface of a seed crystal substrate by re-crystallizing the mixed gas on the surface of the seed crystal substrate.
    • 提供了包含作为受体发挥作用的第一掺杂剂的SiC单晶和作为供体的第二掺杂剂,其中第一掺杂剂的含量不小于5×1015原子/ cm3,第二掺杂剂的含量不为 小于5×1015原子/ cm3,第一掺杂剂的含量大于第二掺杂剂的含量。 提供了一种碳化硅单晶的制造方法,其特征在于:通过将金属硼化物与包含碳和硅的材料混合来制造原料; 蒸发原料; 产生包括碳,硅,硼和氮化物的混合气体; 以及通过使晶种基板的表面上的混合气体再结晶,在晶种基板的表面上生长包含硼和氮的碳化硅单晶。
    • 59. 发明授权
    • Imaging apparatus, noise reduction apparatus, noise reduction method, and noise reduction program
    • 成像装置,降噪装置,降噪方法和降噪程序
    • US07834917B2
    • 2010-11-16
    • US11665037
    • 2006-08-09
    • Hiroyuki KinoshitaJing ZhangMasahiro ItoAkira Matsui
    • Hiroyuki KinoshitaJing ZhangMasahiro ItoAkira Matsui
    • H04N5/217
    • H04N5/21G06T3/4023G06T5/002G06T5/005G06T5/20G06T7/13G06T2207/10024G06T2207/20012G06T2207/20032G06T2207/20192H04N5/213
    • Noise reduction is performed on the basis of characteristics of an image in a detection range. A noise reduction block 4′ performs a second-order differentiation process and a symmetry process to decide adjacent pixels with which noise reduction is preformed for an attention pixel. With the pixel level of the attention pixel in the detection range and the pixel levels of adjacent pixels used for noise reduction, an arithmetic mean processing section 16 calculates a mean value. A median filter 17 selects a median value. With the number of pixels used for noise reduction, it is determined whether the image in the detection range contains a flat portion, a ramp portion, or an edge. The mean value and the median value are weight-added with a weighted coefficient that are changed on the basis of characteristics of the image. The result is substituted for the level of the attention pixel. When the attention pixel is an isolated point, an all-pixel median filter section 31 selects a medium value of the levels of all the pixels in the detection range including the attention pixel and substitutes the median value for the level of the attention pixel.
    • 基于检测范围内的图像的特性进行降噪。 降噪块4'执行二阶微分处理和对称处理,以确定针对注意像素执行降噪的相邻像素。 利用检测范围内的关注像素的像素级和用于降噪的相邻像素的像素级,算术平均处理部16计算平均值。 中值滤波器17选择中值。 利用用于降噪的像素数量,确定检测范围内的图像是否包含平坦部分,斜坡部分或边缘。 平均值和中值是加权系数,加权系数根据图像的特性而改变。 结果代替注意像素的级别。 当注意像素是孤立点时,全像素中值滤波器部分31选择包括关注像素在内的检测范围内的所有像素的电平的中值,并代入关注像素的电平的中值。