ADAPTIVE SHARPENING FOR BLOCKS OF PIXELS
    61.
    发明公开

    公开(公告)号:US20240135505A1

    公开(公告)日:2024-04-25

    申请号:US18373710

    申请日:2023-09-27

    CPC classification number: G06T5/73 G06T3/4053

    Abstract: Methods and processing modules apply adaptive sharpening, for a block of input pixels, to determine a block of output pixels. A block of sharp pixels is obtained based on the block of input pixels, the block of sharp pixels being for representing a sharp version of the block of output pixels. One or more indications of contrast for the block of input pixels is determined. Each of the output pixels of the block of output pixels is determined by performing a respective weighted sum of: (i) a corresponding input pixel in the block of input pixels and (ii) a corresponding sharp pixel in the block of sharp pixels. The weights of the weighted sums are based on the determined one or more indications of contrast for the block of input pixels.

    Self-supervised deblurring
    64.
    发明授权

    公开(公告)号:US12131446B2

    公开(公告)日:2024-10-29

    申请号:US17368534

    申请日:2021-07-06

    Abstract: Systems/techniques that facilitate self-supervised deblurring are provided. In various embodiments, a system can access an input image generated by an imaging device. In various aspects, the system can train, in a self-supervised manner based on a point spread function of the imaging device, a machine learning model to deblur the input image. More specifically, the system can append to the model one or more non-trainable convolution layers having a blur kernel that is based on the point spread function of the imaging device. In various aspects, the system can feed the input image to the model, the model can generate a first output image based on the input image, the one or more non-trainable convolution layers can generate a second output image by convolving the first output image with the blur kernel, and the system can update parameters of the model based on a difference between the input image and the second output image.

    IMAGE PROCESSING APPARATUS AND METHOD, AND IMAGE CAPTURING APPARATUS

    公开(公告)号:US20240354900A1

    公开(公告)日:2024-10-24

    申请号:US18630036

    申请日:2024-04-09

    Inventor: KAZUKI SATO

    CPC classification number: G06T5/50 G06T5/70 G06T5/73 G06T2207/20221

    Abstract: An image processing apparatus includes a first acquisition unit configured to acquire a plurality of RAW images obtained by continuously capturing a subject, a combining unit configured to combine the plurality of RAW images to generate a combined RAW image, a second acquisition unit configured to acquire first information regarding a noise signal level in any of the plurality of RAW images not combined by the combining unit, a third acquisition unit configured to acquire second information regarding a noise signal level in the combined RAW image after the combine by the combining unit, and a determination unit configured to determine a development parameter for developing the combined RAW image based on capturing sensitivity of a capturing element when the plurality of RAW images are captured and the first information and the second information.

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