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    • 5. 发明申请
    • Image classification apparatus
    • 图像分类装置
    • US20100074523A1
    • 2010-03-25
    • US12585198
    • 2009-09-08
    • Kenichi Ishiga
    • Kenichi Ishiga
    • G06K9/62G06K9/00
    • G06K9/00684
    • An image classification apparatus that classifies images based upon image data includes: a multiresolution representation unit that sequentially generates high-frequency band images assuming a plurality of resolution levels by filtering an original image; an image synthesis unit that synthesizes a single high-frequency band image by sequentially integrating the high-frequency band images starting with a high-frequency band image at the lowest resolution; a histogram generation unit that generates a histogram of synthesized high-frequency band image signal; and an image classification unit that classifies the original image into one of at least two image categories based upon a distribution pattern of the histogram having been generated.
    • 基于图像数据对图像进行分类的图像分类装置包括:多分辨率表示单元,其通过对原始图像进行滤波而顺序地生成假设多个分辨率级别的高频带图像; 图像合成单元,通过以最低分辨率从高频带图像开始顺序地积分高频带图像来合成单个高频带图像; 直方图生成单元,生成合成高频带图像信号的直方图; 以及图像分类单元,其基于已经生成的直方图的分布模式,将原始图像分类为至少两个图像类别中的一个。
    • 7. 发明申请
    • Image processing method, image processing program and image processor
    • 图像处理方法,图像处理程序和图像处理器
    • US20080247643A1
    • 2008-10-09
    • US12153045
    • 2008-05-13
    • Kenichi Ishiga
    • Kenichi Ishiga
    • G06K9/03
    • H04N9/045H04N2209/046
    • An image processing method for converting a first image, which is expressed in a calorimetric system made up of a plurality of color components and is constituted of a plurality of pixels each holding color information corresponding to a single color component, to a second image constituted with a plurality of pixels all holding color information corresponding to at least one common color component, includes: a color difference information generation step in which color difference information is generated by using color information in the first image; a color gradient analysis step in which a color gradient indicating an extent of color change is determined based upon the color difference information having been generated; and an image conversion step in which the first image is converted to the second image based upon the color gradient having been determined.
    • 一种图像处理方法,用于将由多个颜色分量组成的量热系统表示的第一图像转换成由多个像素构成,每个像素均保持与单一颜色分量相对应的颜色信息, 全部保持与至少一个共同颜色成分相对应的颜色信息的多个像素包括:色差信息生成步骤,其中通过使用第一图像中的颜色信息生成色差信息; 颜色梯度分析步骤,其中基于已经生成的色差信息来确定指示颜色变化程度的颜色渐变; 以及图像转换步骤,其中基于已经确定的颜色梯度将第一图像转换为第二图像。
    • 8. 发明授权
    • Image processing device and image processing program
    • 图像处理装置和图像处理程序
    • US07289665B2
    • 2007-10-30
    • US10469939
    • 2002-02-28
    • Kenichi IshigaZhe-Hong Chen
    • Kenichi IshigaZhe-Hong Chen
    • G06K9/00
    • G06T3/4015H04N9/045
    • An image processing unit of the present invention receives a first image, performs weighted addition on color information in the first image to generate a color component different from that of the color information in the first image, and outputs the generated color component as a second image. The first image is expressed in a plurality of color components and comprises a plurality of pixels each having color information corresponding to one of the color components. At least nine coefficient patterns consisting of values of not less than zero are prepared, and any one of the coefficient patterns is used for weighted addition. This allows an improvement in image quality with high precision.
    • 本发明的图像处理单元接收第一图像,对第一图像中的颜色信息进行加权相加以生成与第一图像中的颜色信息不同的颜色成分,并将生成的颜色成分作为第二图像输出 。 第一图像以多个颜色分量表示,并且包括多个像素,每个像素具有与颜色分量之一对应的颜色信息。 准备由不小于零的值组成的至少九个系数模式,并且将系数模式中的任何一个用于加权相加。 这样可以高精度地提高图像质量。
    • 9. 发明申请
    • Image compression apparatus and image compression program
    • 图像压缩装置和图像压缩程序
    • US20060140476A1
    • 2006-06-29
    • US11360862
    • 2006-02-24
    • Kenichi Ishiga
    • Kenichi Ishiga
    • G06K9/00G06K9/36
    • H04N19/59H04N1/642
    • An image compression apparatus for compressing image data that includes luminance signal and chrominance signals includes an image judgement part that judges characterizing features of the image data on the basis of the luminance signal and/or chrominance signals, a subsampling rate setting part which sets the subsampling rate of the chrominance signals in accordance with the characterizing features thus judged, a subsampling processing part which performs subsampling processing of the image data at the set subsampling rate, and a compression encoding part which subjects the subsampling-processed image data to compression encoding.
    • 用于压缩包括亮度信号和色度信号的图像数据的图像压缩装置包括:图像判断部,其基于亮度信号和/或色度信号来判定图像数据的特征特征;子采样率设定部,其将子采样 根据所判断的特征特征的色度信号的比率,以设定的子采样率对图像数据进行二次抽样处理的子采样处理部分,以及对二进制处理的图像数据进行压缩编码的压缩编码部分。
    • 10. 发明申请
    • IMAGE SORTING METHOD
    • 图像分类方法
    • US20140348423A1
    • 2014-11-27
    • US14130188
    • 2012-06-12
    • Kenichi Ishiga
    • Kenichi Ishiga
    • G06F17/30G06T7/40
    • G06F16/5838G06F16/5862G06K9/00684G06K9/4652G06K9/527G06T7/90
    • An image sorting method includes: inputting a two-dimensional distribution function of a color plane image; sequentially generating a high-frequency subband image from plural resolutions by filtering the color plane image, generating a high-frequency image by sequentially combining the high-frequency subband images from low resolution, preparing a two-dimensional distribution function of an edge plane image that's defined by raising each pixel value of the high-frequency image to a second power; expanding the two-dimensional distribution functions of the color plane image and edge plane image into a two-dimensional Legendre series and two-dimensional Fourier series, respectively, describing the two-dimensional color distributions of the color plane image and edge plane image by a Legendre expansion coefficient and a Fourier expansion coefficient, respectively; evaluating the distribution of the color plane image based on the Legendre and Fourier expansion coefficients; and sorting the color plane image into images of multiple categories based on the evaluation.
    • 一种图像排序方法包括:输入彩色平面图像的二维分布函数; 通过对彩色平面图像进行滤波,从多个分辨率顺序地生成高频子带图像,通过从低分辨率顺序地组合高频子带图像来生成高频图像,准备边缘平面图像的二维分布函数 通过将高频图像的每个像素值提高到第二功率来定义; 将彩色平面图像和边缘平面图像的二维分布函数分别扩展为二维勒雷德系列和二维傅里叶级数,其描述了平面图像和边缘平面图像的二维颜色分布 Legendre膨胀系数和傅立叶膨胀系数分别为 基于勒让德和傅立叶展开系数来评估彩色平面图像的分布; 并根据评估将彩色平面图像分类为多个类别的图像。