TECHNIQUES FOR IMAGE PROCESSING
    1.
    发明申请

    公开(公告)号:US20200294191A1

    公开(公告)日:2020-09-17

    申请号:US16298793

    申请日:2019-03-11

    Abstract: Methods, systems, and devices for processing color information are described. The method may include receiving a first set of image data collected at an image sensor based on a first color filter array having a first filter pattern, calculating a color saturation gradient based on the first set of image data, and calculating multiple color gradients based on the color saturation gradient. The multiple color gradients may each be associated with a region of the first set of image data, where each color gradient characterizes a color variation along a different direction of the region. The method may include generating a second set of image data including a color value for the region based on comparing a first direction gradient of the multiple color gradients with a second direction gradient of the multiple color gradients. Color values associated with the regions may be mapped to a second color filter array.

    IMAGE CORRECTION USING ONE-DIMENSIONAL CORRECTION FACTORS

    公开(公告)号:US20240163569A1

    公开(公告)日:2024-05-16

    申请号:US18326404

    申请日:2023-05-31

    CPC classification number: H04N23/76 H04N23/84

    Abstract: This disclosure provides systems, methods, and devices for image signal processing that support image correction, including lens shading correction (LSC). In a first aspect, a method of image processing includes receiving first image data comprising a first image frame from a camera module; receiving one-dimensional lens shading correction (LSC) factors; and determining an output image frame based on the first image frame by: interpolating a plurality of correction values corresponding to two-dimensional locations of the first image frame by interpolating the one-dimensional lens shading correction (LSC) factors; and applying the plurality of correction values to corresponding locations of the first image frame, wherein applying the plurality of correction values corrects a lens shading effect of the camera module. Other aspects and features are also claimed and described.

    High dynamic range (HDR) photography with in-sensor zoom

    公开(公告)号:US11924563B2

    公开(公告)日:2024-03-05

    申请号:US17645695

    申请日:2021-12-22

    Abstract: This disclosure provides systems, methods, and devices for image processing that supports high dynamic range (HDR) photography. In some aspects, a method of generating a full-resolution HDR photograph with in-sensor zoom includes receiving first and second image data corresponding to first and second exposure captures of a scene. First and second full-resolution image frames may be generated from the first and second image data, which are subsequently processed with HDR fusion to obtain an output image frame with higher dynamic range than either the first or second image data. The first full-resolution image frame may be determined from both the first and second image data by compensating the second image data for differences between the first and second exposures. Other aspects and features are also claimed and described.

    COMBINED MONOCHROME AND CHROMATIC CAMERA SENSOR

    公开(公告)号:US20200045227A1

    公开(公告)日:2020-02-06

    申请号:US16260976

    申请日:2019-01-29

    Abstract: In general, techniques are described regarding a combined monochrome and chromatic camera sensor. A camera comprising a camera sensor and a processor may be configured to perform the techniques. The camera sensor may include pixel sensors, monochrome filters disposed over a first subset of the pixel sensors, and color filters disposed over a second subset of the pixel sensors. The first subset of the pixel sensors may be configured to capture a monochrome image of a scene. The second subset of the pixel sensors may be configured to capture, concurrently with the capture of the monochrome image, a color image of the scene, where a number of the first subset of the pixel sensors is greater than a number of the second subset of the pixel sensors. The processor may be configured to process the monochrome image and the color image to obtain an enhanced color image of the scene.

    IMAGE DETAIL RECOVERY USING HIGH FREQUENCY AND LOW FREQUENCY IMAGE DATA

    公开(公告)号:US20250078202A1

    公开(公告)日:2025-03-06

    申请号:US18458469

    申请日:2023-08-30

    Abstract: This disclosure provides systems, methods, and devices for image signal processing that support image detail recovery using high frequency and low frequency components of an image frame. In a first aspect, a method of image processing includes receiving image data of an image frame, determining quad phase detection (QPD) image data for the image frame based on the image data for the image frame, and generating a first high frequency component of the image data for a first phase of the image data based on the QPD image data. Other aspects and features are also claimed and described.

    Image sensor and data processing for parallel frame capture in high dynamic range (HDR) photography

    公开(公告)号:US12101563B2

    公开(公告)日:2024-09-24

    申请号:US17456117

    申请日:2021-11-22

    CPC classification number: H04N23/741 H04N23/73 H04N25/585

    Abstract: This disclosure provides systems, methods, and devices for image signal processing that support improved detail keeping in photography through increased dynamic range and/or highlight-keeping. The image signal processing may be performed on data received from a split-pixel image sensor with two sets of sensor elements with different sensitivities. The image signal processing may include receiving image data comprising: first data from a first set of sensor elements and second data from a second set of sensor elements capturing a representation of the scene with a different sensitivity that the first set of sensor elements; determining an output dynamic range for an output image frame; and determining an output image frame based on at least one of the first data and the second data and based on the output dynamic range. Other aspects and features are also claimed and described.

    Multi-sensor imaging color correction

    公开(公告)号:US12015835B2

    公开(公告)日:2024-06-18

    申请号:US17584119

    申请日:2022-01-25

    Abstract: Systems and techniques are provided for processing images. For example, a process can include obtaining a first color image including first one or more pixels from a first image sensor and obtaining a second color image including second one or more pixels from a second sensor, the second color image including infrared (IR) information from a second image sensor. The process can include determining a transformation between colors associated with the first one or more pixels and colors associated with the second one or more pixels based on a comparison associated with the first one or more pixels and the second one or more pixels. The process can include generating a color corrected image at least in part by transforming the second color image including IR information to a color corrected image based on the determined transformation.

    Systems and methods of imaging with multi-domain image sensor

    公开(公告)号:US11982527B2

    公开(公告)日:2024-05-14

    申请号:US17932267

    申请日:2022-09-14

    Abstract: Imaging systems and techniques are described. An imaging system determines, based on image data of a scene received from an image sensor, a first plurality of pixel values corresponding to a first electromagnetic (EM) frequency domain and a second plurality of pixel values corresponding to a second EM frequency domain. The imaging system reduces the first plurality of pixel values using a plurality of cross-domain contamination values (based on the second plurality of pixel values) to generate a third plurality of pixel values. The imaging system determines a reconstructed pixel value based on a combination of at least an overexposed pixel value of the first plurality of pixel values and a corresponding pixel of the third plurality of pixel values. The imaging system outputs a reconstructed image that includes the reconstructed pixel value and a subset of the third plurality of pixel values.

    IMAGE SENSOR AND DATA PROCESSING FOR PARALLEL FRAME CAPTURE IN HIGH DYNAMIC RANGE (HDR) PHOTOGRAPHY

    公开(公告)号:US20230164447A1

    公开(公告)日:2023-05-25

    申请号:US17456117

    申请日:2021-11-22

    CPC classification number: H04N5/2355 H04N5/2353 H04N5/35563

    Abstract: This disclosure provides systems, methods, and devices for image signal processing that support improved detail keeping in photography through increased dynamic range and/or highlight-keeping. The image signal processing may be performed on data received from a split-pixel image sensor with two sets of sensor elements with different sensitivities. The image signal processing may include receiving image data comprising: first data from a first set of sensor elements and second data from a second set of sensor elements capturing a representation of the scene with a different sensitivity that the first set of sensor elements; determining an output dynamic range for an output image frame; and determining an output image frame based on at least one of the first data and the second data and based on the output dynamic range. Other aspects and features are also claimed and described.

    Image data processing using non-integer ratio transforming for color arrays

    公开(公告)号:US11582405B1

    公开(公告)日:2023-02-14

    申请号:US17448654

    申请日:2021-09-23

    Abstract: A transformer may transform image data from a first color pattern to a second color pattern. The transforming of image data may be applied to image data received from a memory storing an array of intensities corresponding to a first color pattern of a first color filter array (CFA) of an image sensor to a second color pattern. The second color pattern may be a color pattern of a size smaller that the first CFA. Remosaicing may be applied to the second color pattern to obtain image data organized in a Bayer color pattern. The transforming may be configured to operate on data from an image sensor to obtain different zoom levels not available without applying a digital zoom algorithm that involve upscaling, which reduces the image quality of the image data.

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