Adaptive display partial update methods and apparatus thereof for power saving in pixel processing

    公开(公告)号:US10283078B2

    公开(公告)日:2019-05-07

    申请号:US15407237

    申请日:2017-01-16

    Applicant: MediaTek Inc.

    Abstract: Methods and apparatuses pertaining to adaptive display partial update may involve determining whether partial update for an image frame is allowed and, responsive to a determination that the partial update for the image frame is allowed, determining whether the partial update is applicable to the image frame. Responsive to a determination that the partial update is applicable to the image frame, whether or not at least a difference between one or more properties of the image frame and one or more properties of a previous image frame exceeds a threshold may be determined. A partial-frame processing may be performed to partially update the image frame responsive to a determination that the difference does not exceed the threshold.

    Dynamic Content Adaptive Frame Rate Conversion
    13.
    发明申请
    Dynamic Content Adaptive Frame Rate Conversion 审中-公开
    动态内容自适应帧速率转换

    公开(公告)号:US20160182853A1

    公开(公告)日:2016-06-23

    申请号:US15058120

    申请日:2016-03-01

    Applicant: MediaTek Inc.

    CPC classification number: H04N7/0127 H04N19/44 H04N19/513 H04N19/85

    Abstract: A technique, as well as select implementations thereof, pertaining to dynamic content adaptive frame rate conversion is described. The technique may involve analyzing information associated with two or more video frames of a stream of video frames. The technique may also involve dynamically adjusting a frame rate of the two or more video frames of the stream of video frames based on a result of the analyzing.

    Abstract translation: 描述了与动态内容自适应帧速率转换有关的技术及其选择实现。 该技术可以涉及分析与视频帧流的两个或多个视频帧相关联的信息。 该技术还可以涉及基于分析结果来动态地调整视频帧流的两个或多个视频帧的帧速率。

    IMAGE ADJUSTMENT METHOD AND IMAGE SENSING SYSTEM

    公开(公告)号:US20250113108A1

    公开(公告)日:2025-04-03

    申请号:US18373987

    申请日:2023-09-28

    Applicant: MEDIATEK INC.

    Abstract: An image adjustment method, applied to an image sensing system comprising an image sensor, comprising: (a) sensing a target image by the image sensor; (b) dividing the target image to a plurality of image regions; (c) acquiring location information of at least one first target feature in the image regions; (d) computing brightness information of each of the image regions; (e) generating adjustment curves according to the brightness information and according to required brightness values of each of the image regions; and (f) adjusting brightness values of the image regions according to the adjustment curves. The step (d) adjusts the brightness information according to the location information or the step (e) adjusts the adjustment curves according to the location information.

    IMAGE PROCESSING METHOD AND OPERATION DEVICE

    公开(公告)号:US20240378843A1

    公开(公告)日:2024-11-14

    申请号:US18659014

    申请日:2024-05-09

    Applicant: MEDIATEK INC.

    Abstract: An image processing method is applied to an operation device and includes analyzing an unprocessed image to split the unprocessed image into a first region and a second region, applying a first image processing algorithm to the first region for acquiring a first processed result, applying a second image processing algorithm different from the first image processing algorithm to the second region for acquiring a second processed result, and generating a processed image via the first processed result and the second processed result.

    IMAGE ENHANCEMENT METHOD AND IMAGE ENHANCEMENT APPARATUS

    公开(公告)号:US20220198723A1

    公开(公告)日:2022-06-23

    申请号:US17553704

    申请日:2021-12-16

    Applicant: MEDIATEK INC.

    Abstract: An image enhancement method applied to an image enhancement apparatus and includes acquiring a first edge feature from a first spectral image and a second edge feature from a second spectral image, analyzing similarity between the first edge feature and the second edge feature to align the first spectral image with the second spectral image, acquiring at least one first detail feature from the first spectral image and at least one second detail feature from the second spectral image, comparing the first edge feature and the second edge feature to generate a first weight and a second weight, and fusing the first detail feature weighted by the first weight with the second detail feature weighted by the second weight to generate a fused image. The first spectral image and the second spectral image are captured at the same point of time.

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