Image amplifying method, image amplifying device, and display apparatus

    公开(公告)号:US09824424B2

    公开(公告)日:2017-11-21

    申请号:US14771340

    申请日:2015-01-04

    发明人: Lijie Zhang

    摘要: Embodiments of the disclosure provide an image amplifying method, an image amplifying device, and a display apparatus, and relate to field of image processing technique, the method comprises: obtaining, by an image amplifying device, high-frequency and low-frequency components of a source image; performing, by the image amplifying device, pixel interpolation on the low-frequency components of the source image through a first interpolation algorithm, to obtain a low-frequency sub-image; performing, by the image amplifying device, pixel interpolation on the high-frequency components of the source image through a second interpolation algorithm, to obtain a high-frequency sub-image; and merging, by the image amplifying device, the low-frequency and high-frequency sub-images, to obtain a merged image; wherein the first interpolation algorithm and the second interpolation algorithm adopt different algorithms, so that it can ensure image quality of the amplified image while reducing the operation amount. Embodiments of the disclosure are applied to image amplification.

    Frequency Signal Generating System and Display Device
    34.
    发明申请
    Frequency Signal Generating System and Display Device 有权
    频率信号发生系统和显示设备

    公开(公告)号:US20150236708A1

    公开(公告)日:2015-08-20

    申请号:US14361405

    申请日:2013-12-20

    IPC分类号: H03L7/18 H03L7/099

    摘要: A frequency signal generating system comprises a digital phase-locked loop for receiving a source frequency signal; a loop filter for filtering out high frequency components of a signal output from the digital phase-locked loop; and a voltage controlled oscillator for outputting a target frequency signal according to a signal from the loop filter, wherein an output terminal of the voltage controlled oscillator is connected to a first output terminal of the digital phase-locked loop so that the target frequency signal output from the voltage controlled oscillator is fed back to the digital phase-locked loop, the digital phase-locked loop performs frequency-dividing and phase-detecting on the source frequency signal and the fed back, target frequency signal so that the target frequency signal output from the voltage controlled oscillator and the source frequency signal satisfy a definite mathematical relationship therebetween.

    摘要翻译: 频率信号发生系统包括用于接收源频率信号的数字锁相环; 用于滤除从数字锁相环输出的信号的高频分量的环路滤波器; 以及压控振荡器,用于根据来自环路滤波器的信号输出目标频率信号,其中压控振荡器的输出端连接到数字锁相环的第一输出端,​​使得目标频率信号输出 从压控振荡器反馈到数字锁相环,数字锁相环对源频率信号和反馈目标频率信号进行分频和相位检测,使目标频率信号输出 来自压控振荡器和源极频率信号之间的确定的数学关系。

    Image segmentation apparatus, method and relevant computing device

    公开(公告)号:US11113816B2

    公开(公告)日:2021-09-07

    申请号:US16651946

    申请日:2019-09-19

    IPC分类号: G06K9/46 G06T7/10 G06N3/02

    摘要: The present disclosure provides an image segmentation apparatus, method and relevant computing device. The image segmentation apparatus comprises: a feature extractor configured to extract N image semantic features having different scales from an input image, where N is an integer not less than 3; and a feature processor comprising cascaded dense-refine networks and being configured to perform feature processing on the N image semantic features to obtain a binarized mask image for the input image. A dense-refine network is configured to generate a low-frequency semantic feature from semantic features input thereto by performing densely-connected convolution processing on the semantic features respectively to obtain respective image global features, performing feature fusion on the image global features to obtain a fused image global feature, and performing pooling processing on the fused image global feature to generate and output the low-frequency semantic feature. The semantic features are selected from a group consisting of the N image sematic features and low-frequency semantic features generated by dense-refine networks. The feature processor is configured to obtain the binarized mask image based on low-frequency semantic features generated by the dense-refine networks.