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    • 48. 发明授权
    • Systems and methods for luma sharpening
    • 亮度锐化的系统和方法
    • US09031319B2
    • 2015-05-12
    • US13485341
    • 2012-05-31
    • Guy CoteSuk Hwan LimMunehiro MoriSheng Lin
    • Guy CoteSuk Hwan LimMunehiro MoriSheng Lin
    • G06K9/00G06T7/40H04N5/213
    • G06T7/408H04N5/213
    • Systems, methods, and devices for sharpening image data are provided. One example of an image signal processing system includes a YCC processing pipeline that includes luma sharpening logic. The luma sharpening logic may sharpen the luma component while avoiding sharpening some noise. Specifically, a multi-scale unsharp mask filter may obtain unsharp signals by filtering an input luma component, and sharp component determination logic may determine sharp signals representing differences between the unsharp signals and the luma component. Sharp lookup tables may “core” the sharp signals, which may prevent some noise from being sharpened. Output logic may determine a sharpened output luma signal by combining the sharp signals with, for example, luma component or one of the unsharp signals.
    • 提供了用于锐化图像数据的系统,方法和设备。 图像信号处理系统的一个示例包括包括亮度锐化逻辑的YCC处理流水线。 亮度锐化逻辑可以锐化亮度分量,同时避免锐化某些噪声。 具体地说,多尺度钝化掩模滤波器可以通过对输入亮度分量进行滤波来获得钝化信号,并且尖锐分量确定逻辑可以确定表示不清晰信号和亮度分量之间差异的尖锐信号。 锐度查找表可能会“清除”尖锐的信号,这可能会阻止某些噪点的锐化。 输出逻辑可以通过将尖锐信号与例如亮度分量或钝化信号之一组合来确定锐化的输出亮度信号。
    • 50. 发明授权
    • Techniques for collection of auto-focus statistics
    • 收集自动对焦统计数据的技术
    • US08922704B2
    • 2014-12-30
    • US12873989
    • 2010-09-01
    • Guy CoteJeffrey E. Frederiksen
    • Guy CoteJeffrey E. Frederiksen
    • H04N5/232H04N9/73H04N5/367H04N9/04H04N5/347
    • H04N9/735H04N5/23212H04N5/347H04N5/367H04N9/045
    • Various techniques are disclosed for collecting and processing auto-focus statistics data in an image signal processor (ISP). In one embodiment, a statistics collection engine in an ISP front-end processing unit may be configured to collect coarse (based on decimated raw data) and fine auto-focus statistics. Coarse auto-focus statistics may be collected on decimated Bayer RGB data and/or on linear camera luma values. Fine auto-focus statistics may be collected on raw Bayer RGB using a combination of a horizontal filter and edge detector, or may be collected on BayerY data (by applying a 3×1 transform to the raw Bayer RGB data). Edge sums may be accumulated using the filter outputs to determine auto-focus statistics.
    • 公开了用于在图像信号处理器(ISP)中收集和处理自动对焦统计数据的各种技术。 在一个实施例中,ISP前端处理单元中的统计收集引擎可以被配置为收集粗略(基于抽取的原始数据)和精细的自动对焦统计。 可以在抽取的拜耳RGB数据和/或线性相机亮度值上收集粗略的自动对焦统计数据。 可以使用水平滤波器和边缘检测器的组合在原始拜耳RGB上收集精细的自动对焦统计信息,或者可以在拜耳数据上收集(通过对原始拜耳RGB数据应用3×1变换)。 可以使用滤波器输出积累边沿和,以确定自动对焦统计。