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    • 41. 发明授权
    • Image capturing device, image capturing method, program, and integrated circuit
    • 图像捕获装置,图像捕获方法,程序和集成电路
    • US09076204B2
    • 2015-07-07
    • US13520257
    • 2011-11-07
    • Yasunobu OguraPongsak LasangSheng Mei Shen
    • Yasunobu OguraPongsak LasangSheng Mei Shen
    • G06T5/00H04N5/232G06T5/50
    • G06T5/003G06T5/50G06T2207/10148G06T2207/20221H04N5/23212
    • An image capturing device includes: a pre-capturing module which captures an imaging target at each of different focus positions in a predetermined focus range and outputs, as a capturing result, a plurality of pre-captured images lower in resolution than the output image; an object sharpness evaluating module which computes a sharpness level of each of the pre-captured images captured by the pre-capturing module; a focus varying range determining module which determines a focus position varying range within the predetermined focus range based on sharpness levels computed by the object sharpness evaluating module, such that a signal-to-noise ratio of the output image is greater than or equal to a predetermined threshold; and an image capturing module which captures the imaging target while varying the focus position according to the focus position varying range determined by the focus varying range determining module, and outputs the output image as a capturing result.
    • 一种图像捕获装置包括:预捕获模块,其在预定的聚焦范围中的每个不同聚焦位置处捕获成像目标,并作为捕获结果输出分辨率低于输出图像的多个预先拍摄的图像; 对象清晰度评估模块,其计算由所述预捕获模块捕获的每个所述预捕获图像的清晰度水平; 焦点变化范围确定模块,其基于由对象锐度评估模块计算的清晰度水平确定预定焦距范围内的焦点位置变化范围,使得输出图像的信噪比大于或等于 预定阈值; 以及图像拍摄模块,其根据由焦点变化范围确定模块确定的焦点位置变化范围来改变焦点位置时捕获成像目标,并将输出图像输出为捕获结果。
    • 48. 发明授权
    • Video signal decoding apparatus
    • 视频信号解码装置
    • US5844614A
    • 1998-12-01
    • US584180
    • 1996-01-11
    • Siew Tan ChongSheng Mei ShenChee Siong Khor
    • Siew Tan ChongSheng Mei ShenChee Siong Khor
    • G06T9/00H04N7/26H04N7/30H04N7/50H04N7/12
    • H04N19/86
    • A video signal decoding apparatus according to the present invention includes a decoding unit for applying a variable length and run-length decoding to a compressed video signal to reconstruct blocks of quantized coefficients. An inverse quantizer is provided for inverse quantizing blocks of reconstructed quantized coefficients. An inverse DCT transforms the inverse quantized blocks of reconstructed quantized coefficients to produce a decoded block. An edge block detector determines whether decoded blocks are classified as an edge block. An adaptive edge enhancement filter removes the distortion in the decoded blocks when the edge block detector classifies decoded blocks as edge blocks. Thus, the video signal is decoded from the encoded video signal.
    • 根据本发明的视频信号解码装置包括:解码单元,用于对压缩视频信号应用可变长度和游程长度解码以重构量化系数块。 提供反量化器用于反量化重构量化系数的块。 逆DCT对重构的量化系数的逆量化块进行变换以产生解码块。 边缘块检测器确定解码块是否被分类为边缘块。 当边缘块检测器将解码的块分类为边缘块时,自适应边缘增强滤波器去除解码块中的失真。 因此,视频信号从编码视频信号解码。
    • 49. 发明授权
    • Generic object-based image recognition apparatus with exclusive classifier, and method for the same
    • 具有专属分类器的通用对象图像识别装置及其方法
    • US08687851B2
    • 2014-04-01
    • US13508850
    • 2011-09-09
    • Yang HuaShuicheng YanZhongyang HuangSheng Mei ShenRyouichi Kawanishi
    • Yang HuaShuicheng YanZhongyang HuangSheng Mei ShenRyouichi Kawanishi
    • G06K9/00
    • G06K9/00677
    • The present invention provides an image recognition apparatus with enhanced performance and robustness.In an image recognition apparatus 1, an image classification information accumulating unit 20 stores therein feature information defining visual features of various objects obtained through a learning process. For classification of input images, an image feature obtaining unit 18 extracts descriptors indicating features from each input image, image vocabularies corresponding to the descriptors are voted, and a classifying unit 19 calculates existence probabilities of one or more candidate objects, based on the result of the voting. According to the existence probabilities, objects contained in the image is identified. Through the calculation, the existence probabilities are adjusted by an exclusive classifier, based on exclusive relationship information defining exclusive object sets each containing different objects (object labels) predicted not to coexist in a same image.
    • 本发明提供了具有增强的性能和鲁棒性的图像识别装置。 在图像识别装置1中,图像分类信息存储单元20存储定义通过学习处理获得的各种对象的视觉特征的特征信息。 为了输入图像的分类,图像特征获取单元18从每个输入图像中提取指示特征的描述符,并且对与描述符相对应的图像词汇进行表示,并且分类单元19基于以下结果计算一个或多个候选对象的存在概率 投票。 根据存在概率,识别图像中包含的对象。 通过计算,存在概率由排他分类器基于排除关系信息进行调整,该专属关系信息定义了包含不同于同一图像中不共存的不同对象(对象标签)的排他对象集合。
    • 50. 发明授权
    • Method and apparatus for motion blur and ghosting prevention in imaging system
    • 成像系统中运动模糊和重影防止的方法和装置
    • US08547442B2
    • 2013-10-01
    • US12991208
    • 2008-06-19
    • Pongsak LasangChinPhek OngSheng Mei ShenKenji TamuraYusuke Monobe
    • Pongsak LasangChinPhek OngSheng Mei ShenKenji TamuraYusuke Monobe
    • H04N5/228
    • H04N5/235H04N5/144H04N5/217H04N5/2355
    • A method and apparatus for motion blur and ghosting prevention in imaging system is presented. A residue image is computed by performing spatial-temporal filter with a set of absolute image difference of image pairs from input images. A noise adaptive pixel threshold is computed for every pixel based on noise statistics of image sensor. The residue image and the noise adaptive pixel threshold are used to create a motion masking map. The motion masking map is used to represent motion and non-motion pixels in pixels merging. The pixels merging step is performed to generate an output image by considering the motion pixels where the motion pixels are performed separately. The resulting output image having no or less motion blur and ghosting artifacts can be obtained, even the input images having different degree of motion blur between each of the image, while the complexity is low. It is preferred that the current invention is applied in the Bayer raw domain. The benefit is reduced computation and memory because only 1 color component is processed for each pixel. Another benefit is higher signal fidelity because processing in the Bayer raw domain is unaffected by demosaicing artifacts, especially along edges. However, the current invention can also be applied in RGB domain.
    • 提出了一种成像系统中运动模糊和重影防止的方法和装置。 通过执行具有来自输入图像的图像对的一组绝对图像差异的空间 - 时间滤波来计算残差图像。 基于图像传感器的噪声统计,为每个像素计算噪声自适应像素阈值。 残差图像和噪声自适应像素阈值用于创建运动掩蔽图。 运动屏蔽图用于表示像素合并中的运动和非运动像素。 执行像素合并步骤,通过考虑分别执行运动像素的运动像素来生成输出图像。 即使在复杂度低的情况下,甚至在每个图像之间具有不同的运动模糊度的输入图像也可以获得没有或更少的运动模糊和重影假象的结果输出图像。 本发明优选应用于拜耳原始领域。 该优点是减少了计算和存储器,因为每个像素只处理1个颜色分量。 另一个好处是更高的信号保真度,因为拜耳原始域中的处理不受去马赛克伪像的影响,特别是沿着边缘。 然而,本发明也可以应用于RGB域。