H04N23/84

HIGH-SPEED IMAGING APPARATUS AND IMAGING METHOD
20230232124 · 2023-07-20 · ·

An imaging apparatus (100, 300) comprising: an optical encoder (150, 350) configured to provide an encoded image of an object (110) with at least one mask pattern; a rotating mirror (170) configured to receive and project said encoded image; and an image sensor (180) configured to receive said encoded; wherein, said rotating mirror (170) is operable such that a plurality of encoded images, which are individually projected by said rotating mirror (170) are spatially shifted as a result of rotation of said rotating mirror (170), are swept across said image sensor (180).

HIGH-SPEED IMAGING APPARATUS AND IMAGING METHOD
20230232124 · 2023-07-20 · ·

An imaging apparatus (100, 300) comprising: an optical encoder (150, 350) configured to provide an encoded image of an object (110) with at least one mask pattern; a rotating mirror (170) configured to receive and project said encoded image; and an image sensor (180) configured to receive said encoded; wherein, said rotating mirror (170) is operable such that a plurality of encoded images, which are individually projected by said rotating mirror (170) are spatially shifted as a result of rotation of said rotating mirror (170), are swept across said image sensor (180).

IMAGING DEVICE AND IMAGING METHOD
20230232121 · 2023-07-20 ·

An imaging device, according to one embodiment of the present invention, comprises: an input unit for receiving first Bayer data having a first resolution and a noise level; and a convolutional neural network for outputting second Bayer data having a second resolution by using the noise level and the first Bayer data.

IMAGING DEVICE AND IMAGING METHOD
20230232121 · 2023-07-20 ·

An imaging device, according to one embodiment of the present invention, comprises: an input unit for receiving first Bayer data having a first resolution and a noise level; and a convolutional neural network for outputting second Bayer data having a second resolution by using the noise level and the first Bayer data.

MULTI-MODE DEMOSAICING FOR RAW IMAGE DATA
20230232122 · 2023-07-20 ·

Embodiments relate to a multi-mode demosaicing circuit able to receive and demosaic image data in a different raw image formats, such as Bayer raw image format and Quad Bayer raw image format. The multi-mode demosaicing circuit comprises different circuitry for demosaicing different image formats that access a shared working memory. In addition, the multi-mode demosaicing circuit shares memory with a post-processing and scaling circuit configured to perform subsequent post-processing and/or scaling of the demosaiced image data, in which the operations of the post-processing and scaling circuit are modified based on the original raw image format of the demosaiced image data to use different amounts of the shared memory, to compensate for additional memory utilized by the multi-mode demosaicing circuit when demosaicing certain types of image data.

IMAGING DEVICE AND METHOD

An imaging device is provided. The imaging device may sense light passing through a corresponding imaging lens and a corresponding color filter in sensing elements disposed in a sensing region for each color channel, and generate sensing data based on a grouping of color intensity values sensed by the sensing elements for each sensing region based on a binning size determined based on an illuminance of light.

IMAGING DEVICE AND METHOD

An imaging device is provided. The imaging device may sense light passing through a corresponding imaging lens and a corresponding color filter in sensing elements disposed in a sensing region for each color channel, and generate sensing data based on a grouping of color intensity values sensed by the sensing elements for each sensing region based on a binning size determined based on an illuminance of light.

Imaging device and solid-state image sensor

An imaging device includes a first electrode, a charge accumulating electrode arranged with a space from the first electrode, an isolation electrode arranged with a space from the first electrode and the charge accumulating electrode and surrounding the charge accumulating electrode, a photoelectric conversion layer formed in contact with the first electrode and above the charge accumulating electrode with an insulating layer interposed therebetween, and a second electrode formed on the photoelectric conversion layer. The isolation electrode includes a first isolation electrode and a second isolation electrode arranged with a space from the first isolation electrode, and the first isolation electrode is positioned between the first electrode and the second isolation electrode.

Image processing systems and methods of using the same

A method of generating a color image using a monochromatic image sensor. The method includes sequentially illuminating a surface in a plurality of colors, one color at a time. The monochromatic image sensor captures a plurality of image frames of the surface based on the plurality of colors. The plurality of image frames are identified, and at least one feature in the target of the plurality of image frames is highlighted. Color intensities of the plurality of image frames are normalized. A color intensity map of the target for each of the plurality of image frames is generated. A correlation score is determined by comparing each color intensity map of the plurality of image frames. The color image is generated based on the correlation score.

Image processing systems and methods of using the same

A method of generating a color image using a monochromatic image sensor. The method includes sequentially illuminating a surface in a plurality of colors, one color at a time. The monochromatic image sensor captures a plurality of image frames of the surface based on the plurality of colors. The plurality of image frames are identified, and at least one feature in the target of the plurality of image frames is highlighted. Color intensities of the plurality of image frames are normalized. A color intensity map of the target for each of the plurality of image frames is generated. A correlation score is determined by comparing each color intensity map of the plurality of image frames. The color image is generated based on the correlation score.