DELAYED CHROMA PROCESSING IN BLOCK PROCESSING PIPELINES
    121.
    发明申请
    DELAYED CHROMA PROCESSING IN BLOCK PROCESSING PIPELINES 有权
    在块加工管道中延迟色卡处理

    公开(公告)号:US20150085931A1

    公开(公告)日:2015-03-26

    申请号:US14037310

    申请日:2013-09-25

    Applicant: Apple Inc.

    Abstract: A block processing pipeline in which macroblocks are input to and processed according to row groups so that adjacent macroblocks on a row are not concurrently at adjacent stages of the pipeline. The input method may allow chroma processing to be postponed until after luma processing. One or more upstream stages of the pipeline may process luma elements of each macroblock to generate luma results such as a best mode for processing the luma elements. Luma results may be provided to one or more downstream stages of the pipeline that process chroma elements of each macroblock. The luma results may be used to determine processing of the chroma elements. For example, if the best mode for luma is an intra-frame mode, then a chroma processing stage may determine a best intra-frame mode for chroma and reconstruct the chroma elements according to the best chroma intra-frame mode.

    Abstract translation: 块处理流水线,其中宏块被输入到并根据行组进行处理,使得一行上的相邻宏块不是在流水线的相邻阶段同时进行。 输入法可以允许色度处理被推迟直到亮度处理。 流水线的一个或多个上游级可以处理每个宏块的亮度元素以产生亮度结果,例如用于处理亮度元素的最佳模式。 亮度结果可以被提供给处理每个宏块的色度元素的流水线的一个或多个下游阶段。 亮度结果可用于确定色度元素的处理。 例如,如果亮度的最佳模式是帧内模式,则色度处理阶段可以确定用于色度的最佳帧内模式,并且根据最佳色度帧内模式重建色度元素。

    REFERENCE FRAME DATA PREFETCHING IN BLOCK PROCESSING PIPELINES
    122.
    发明申请
    REFERENCE FRAME DATA PREFETCHING IN BLOCK PROCESSING PIPELINES 有权
    块式加工管道中的参考框架数据预制

    公开(公告)号:US20150084970A1

    公开(公告)日:2015-03-26

    申请号:US14037318

    申请日:2013-09-25

    Applicant: Apple Inc.

    CPC classification number: G06T1/20 G06T1/60 H04N19/423 H04N19/436 H04N19/61

    Abstract: Block processing pipeline methods and apparatus in which pixel data from a reference frame is prefetched into a search window memory. The search window may include two or more overlapping regions of pixels from the reference frame corresponding to blocks from the rows in the input frame that are currently being processed in the pipeline. Thus, the pipeline may process blocks from multiple rows of an input frame using one set of pixel data from a reference frame that is stored in a shared search window memory. The search window may be advanced by one column of blocks by initiating a prefetch for a next column of reference data from a memory. The pipeline may also include a reference data cache that may be used to cache a portion of a reference frame and from which at least a portion of a prefetch for the search window may be satisfied.

    Abstract translation: 块处理流水线方法和装置,其中来自参考帧的像素数据被预取到搜索窗口存储器中。 搜索窗口可以包括对应于当前正在流水线处理的输入帧中的行的来自参考帧的两个或更多个重叠区域的像素。 因此,流水线可以使用来自存储在共享搜索窗口存储器中的参考帧的一组像素数据来处理来自输入帧的多行的块。 搜索窗口可以由一列块提前,通过从存储器发起下一列参考数据的预取。 流水线还可以包括可用于缓存参考帧的一部分的参考数据高速缓存,并且可以从该参考数据高速缓冲存储器可以满足搜索窗口的预取的至少一部分。

    CHROMA QUANTIZATION IN VIDEO CODING
    123.
    发明申请
    CHROMA QUANTIZATION IN VIDEO CODING 有权
    视频编码中的色谱定量

    公开(公告)号:US20150071345A1

    公开(公告)日:2015-03-12

    申请号:US14452494

    申请日:2014-08-05

    Applicant: Apple Inc.

    Abstract: A method of signaling additional chroma QP offset values that are specific to quantization groups is provided, in which each quantization group explicitly specifies its own set of chroma QP offset values. Alternatively, a table of possible sets of chroma QP offset values is specified in the header area of the picture, and each quantization group uses an index to select an entry from the table for determining its own set of chroma QP offset values. The quantization group specific chroma QP offset values are then used to determine the chroma QP values for blocks within the quantization group in addition to chroma QP offset values already specified for higher levels of the video coding hierarchy.

    Abstract translation: 提供了一种用于发信号通知量化组特有的附加色度QP偏移值的方法,其中每个量化组明确地指定其自己的色度QP偏移值集合。 或者,在图像的标题区域中指定可能的色度QP偏移值集合的表,并且每个量化组使用索引来从表中选择用于确定其自己的色度QP偏移值集合的条目。 然后,除了已经为视频编码层级的较高级别指定的色度QP偏移值之外,量化组特定色度QP偏移值用于确定量化组内的块的色度QP值。

    Systems and methods for reducing fixed pattern noise in image data

    公开(公告)号:US12177586B2

    公开(公告)日:2024-12-24

    申请号:US18330973

    申请日:2023-06-07

    Applicant: Apple Inc.

    Abstract: The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may be configured to receive a frame of the image data having a plurality of pixels acquired using a digital image sensor. The image processing pipeline may then be configured to determine a first plurality of correction factors that may correct each pixel in the plurality of pixels for fixed pattern noise. The first plurality of correction factors may be determined based at least in part on fixed pattern noise statistics that correspond to the frame of the image data. After determining the first plurality of correction factors, the image processing pipeline may be configured to apply the first plurality of correction factors to the plurality of pixels, thereby reducing the fixed pattern noise present in the plurality of pixels.

    Image blending modes systems and methods

    公开(公告)号:US12067674B2

    公开(公告)日:2024-08-20

    申请号:US17934138

    申请日:2022-09-21

    Applicant: Apple Inc.

    CPC classification number: G06T15/503 G06T3/18

    Abstract: A device may include an electronic display to display an image frame based on blended image data and image processing circuitry to generate the blended image data by combining first image data and second image data via a blend operation. The blend operation may include receiving graphics alpha data indicative of a transparency factor to be applied to the first image data to generate a first layer of the blend operation. The blend operation may also include overlaying the first layer onto a second layer that is based on the second image data. Overlaying the first layer onto the second layer may include adding first pixels values of the first image data that include negative pixel values and are augmented by the transparency factor to second pixel values of the second image data to generate blended pixel values of the blended image data.

    SYSTEMS AND METHODS FOR REDUCING FIXED PATTERN NOISE IN IMAGE DATA

    公开(公告)号:US20230336888A1

    公开(公告)日:2023-10-19

    申请号:US18330973

    申请日:2023-06-07

    Applicant: Apple Inc.

    CPC classification number: H04N25/67

    Abstract: The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may be configured to receive a frame of the image data having a plurality of pixels acquired using a digital image sensor. The image processing pipeline may then be configured to determine a first plurality of correction factors that may correct each pixel in the plurality of pixels for fixed pattern noise. The first plurality of correction factors may be determined based at least in part on fixed pattern noise statistics that correspond to the frame of the image data. After determining the first plurality of correction factors, the image processing pipeline may be configured to configured to apply the first plurality of correction factors to the plurality of pixels, thereby reducing the fixed pattern noise present in the plurality of pixels.

    SYSTEMS AND METHOD FOR REDUCING FIXED PATTERN NOISE IN IMAGE DATA

    公开(公告)号:US20220014697A1

    公开(公告)日:2022-01-13

    申请号:US17377308

    申请日:2021-07-15

    Applicant: Apple Inc.

    Abstract: The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may be configured to receive a frame of the image data having a plurality of pixels acquired using a digital image sensor. The image processing pipeline may then be configured to determine a first plurality of correction factors that may correct each pixel in the plurality of pixels for fixed pattern noise. The first plurality of correction factors may be determined based at least in part on fixed pattern noise statistics that correspond to the frame of the image data. After determining the first plurality of correction factors, the image processing pipeline may be configured to configured to apply the first plurality of correction factors to the plurality of pixels, thereby reducing the fixed pattern noise present in the plurality of pixels.

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