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    • 62. 发明授权
    • Visual characterization using display model
    • 使用显示模型进行视觉表征
    • US5754222A
    • 1998-05-19
    • US612530
    • 1996-03-08
    • Scott J. DalyHsien Che Lee
    • Scott J. DalyHsien Che Lee
    • G09G1/28G09G5/02H04N17/04H04N17/02
    • G09G5/02H04N17/04G09G1/285
    • A method for detecting the characteristics of a display, comprises the steps of: creating a model of the display having multiple parameters relating the physical output of the display to an input signal creating the display; employing a model of the human visual system, generating a set of control signals for producing patterns in the display that enable an observer to employ visual selection criteria to identify specific patterns corresponding to specific values of the parameters; applying the set of control signals to the display to produce the patterns; selecting specific patterns from the display; determining the values of the parameters from the patterns selected; and determining the characteristics of the display by applying the values of the parameters to the model.
    • 一种用于检测显示器特性的方法,包括以下步骤:创建具有将显示器的物理输出与输入信号相关联的多个参数的显示模型,以产生显示; 使用人类视觉系统的模型,生成一组用于在显示器中产生图案的控制信号,使得观察者能够使用视觉选择标准来识别与参数的特定值相对应的特定模式; 将所述一组控制信号施加到所述显示器以产生所述图案; 从显示中选择特定的图案; 根据所选择的图案确定参数的值; 并通过将参数的值应用于模型来确定显示的特征。
    • 63. 发明授权
    • DCT transform compression, transmission and recovery of digital color
using virtual filtering mechanism
    • DCT变换压缩,使用虚拟滤波机制的数字彩色传输和恢复
    • US5079621A
    • 1992-01-07
    • US546593
    • 1990-06-29
    • Scott J. DalyEdward M. Granger
    • Scott J. DalyEdward M. Granger
    • H04N1/41G06T5/00G06T9/00H04N7/26H04N7/30H04N11/04
    • H04N11/044H04N19/126H04N19/60H04N19/124
    • A color imagery compression/decompression mechanism employs a contrast sensitivity function model of the human visual system for color images, to derive normalization values for compressing chromatic components of the color imagery data. The CSF model is defined in terms of an ADT color space transform (15), the chromatic channels of which conform with the band-limited sensitivity of the visual system. The transform for obtaining the ADT components is executable by reduced complexity logic operators. Each of the ADT components is block transform coded using DCT transform coefficients (18) that are normalized (24) in accordance with a `weighted` (46, 45) CSF model (42) of the human visual system, which effectively performs a low pass filtering of the chromatic (DT) channels. This low pass filter-weighting of the normalization values in the compression, transmit end (10) of the system produces a set of normalized coefficients which effectively blur the image and reduce the entropy in the chromatic channels and may be implemented using a Gaussian function. In the decompression process at the receiver (14), a corresponding set of denormalization coefficients (32), which are generated in accordance with the same chromatic CSF model of the human visual system, are not weighted, so that the cascading of the normalization and denormalizing operators in the transmitter and receiver yields a product less than unity, simulating the entropy-reducing effect of subsampling.
    • 彩色图像压缩/解压缩机构采用用于彩色图像的人类视觉系统的对比度敏感度函数模型,以导出用于压缩彩色图像数据的彩色分量的归一化值。 CSF模型根据ADT颜色空间变换(15)定义,其色度通道符合视觉系统的带限灵敏度。 用于获得ADT组件的变换可以由复杂度较低的逻辑运算符执行。 每个ADT分量是使用根据人类视觉系统的“加权”(46,45)CSF模型(42)归一化(24)的DCT变换系数(18)进行块变换编码的,该模型有效地执行低 (DT)通道的通过滤波。 该系统的压缩,发送端(10)中的归一化值的这种低通滤波器加权产生一组归一化的系数,其有效地模糊图像并减少色度信道中的熵,并且可以使用高斯函数来实现。 在接收机(14)的解压缩处理中,根据人类视觉系统的相同彩色CSF模型生成的相应的一组非归一化系数(32)不被加权,使得归一化和 发射机和接收机中的非归一化算子产生小于1的产品,模拟二次采样的熵减小效应。