GLOBAL TONE MAPPING FOR HDR IMAGES WITH HISTORGRAM GAP

    公开(公告)号:US20240303793A1

    公开(公告)日:2024-09-12

    申请号:US18615667

    申请日:2024-03-25

    Inventor: Dmitry Grilikhes

    CPC classification number: G06T5/92 G06T5/40 G06V10/60

    Abstract: Techniques for improving image quality of a HDR image by increasing the contrast in the dark portion of the image while preserving the bright parts of the image. The methods preserve the input dynamic range. An image with a luminance histogram gap between a main portion with low brightness and a small portion with high brightness. A first tone mapping curve is determined for the low brightness portion of the image. A second tone mapping curve is determined from a selected point on the first tone mapping curve to a maximum brightness level of the input image. A final tone mapping curve is generated including the first tone mapping curve from a minimum brightness input to the selected point and the second tone mapping curve from the selected point to a maximum brightness level. The method can increase overall image quality and contrast.

    COMPRESSING DYNAMIC RANGE IN IMAGES USING DARKNESS GAMMA TRANSFER FUNCTION

    公开(公告)号:US20200020083A1

    公开(公告)日:2020-01-16

    申请号:US16578772

    申请日:2019-09-23

    Inventor: Dmitry Grilikhes

    Abstract: An example apparatus for compressing dynamic range includes an image receiver to receive an input image with a high dynamic range. The apparatus further includes a darkness gamma transfer calculator to calculate gain values for each output pixel via a darkness gamma transfer function. The apparatus also further includes a gain applicator to apply the gain values to color channel values of the input image to generate a compressed image.

    Self-adaptive color based haze removal for video

    公开(公告)号:US10924682B2

    公开(公告)日:2021-02-16

    申请号:US16262737

    申请日:2019-01-30

    Inventor: Dmitry Grilikhes

    Abstract: Techniques related to removing haze from video are discussed. Such techniques include color converting a video frame from an input color space to a haze color space using a haze color detected in a previous frame, estimating pixel-wise haze amounts, de-hazing the video frame in the haze color space using the pixel-wise haze amounts, and color converting the de-hazed frame to the input color space.

    SELF-ADAPTIVE COLOR BASED HAZE REMOVAL FOR VIDEO

    公开(公告)号:US20190166292A1

    公开(公告)日:2019-05-30

    申请号:US16262737

    申请日:2019-01-30

    Inventor: Dmitry Grilikhes

    Abstract: Techniques related to removing haze from video are discussed. Such techniques include color converting a video frame from an input color space to a haze color space using a haze color detected in a previous frame, estimating pixel-wise haze amounts, de-hazing the video frame in the haze color space using the pixel-wise haze amounts, and color converting the de-hazed frame to the input color space.

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