A method of adaptive chroma downsampling is presented. The method comprises converting a source image to a converted image in an output color format, applying a plurality of downsample filters to the converted image and estimating a distortion for each filter chose the filter that produces the minimum distortion. The distortion estimation includes applying an upsample filter, and a pixel is output based on the chosen filter. Methods for closed loop conversions are also presented.

Fabrication processing is executed in a chip of an image sensor. An image capturing device includes an image capturing unit (11) mounted on a vehicle and configured to generate image data by performing image capturing of a peripheral region of the vehicle, a scene recognition unit (214) configured to recognize a scene of the peripheral region based on the image data, and a drive control unit (12) configured to control drive of the image capturing unit based on the scene recognized by the scene recognition unit.

An image processor processes an image having color pixels (R, G, B) arranged in a Bayer pattern. The image processor provides a de-correlated image composed of three types of components (Y, Cr, Cb). The image processor provides a component of the first type (Y) as a substitute for a pixel of the first type (G), whereby the component of the first type (Y) is a weighted combination of a cluster of pixels that includes the pixel of the first type (G) and neighboring pixels, wherein neighboring pixels of the second and third type (R, B) have an overall positive weighting factor corresponding to an overall addition of neighboring pixels of the second and third type (R, B) to the pixel of the first type (G). The image processor also provides a component of the second type (Cr) and a component of the third type (Cb) in similar fashion.

An image processor processes an image having color pixels (R, G, B) arranged in a Bayer pattern. The image processor provides a de-correlated image composed of three types of components (Y, Cr, Cb). The image processor provides a component of the first type (Y) as a substitute for a pixel of the first type (G), whereby the component of the first type (Y) is a weighted combination of a cluster of pixels that includes the pixel of the first type (G) and neighboring pixels, wherein neighboring pixels of the second and third type (R, B) have an overall positive weighting factor corresponding to an overall addition of neighboring pixels of the second and third type (R, B) to the pixel of the first type (G). The image processor also provides a component of the second type (Cr) and a component of the third type (Cb) in similar fashion.

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.

The present disclosure relates to systems and methods for transmitting Standard Dynamic Range (SDR) content. The systems and methods may use a modified Electro-Optical Transfer Function (EOTF) curve to convert nonlinear color values of SDR content into optical output values of modified SDR content. The systems and methods may encode the modified SDR content using eight bits while preventing banding. The systems and methods may transmit the encoded data to a client device for presentation on a display.

In an embodiment, a computer-implemented method includes: causing a camera module to capture a plurality of frame portions with an exposure time at a sampling clock period. The frame portions correspondingly reflect a predetermined number of first signal pulses periodically generated by a light source. The exposure time corresponds to a duration of one of the predetermined number of first signal pulses. A first data sequence is encoded into the first signal pulses. The sampling clock period is different from a duration of the first data sequence such that a second data sequence is obtained from cycling through all of the first data sequence.

In an embodiment, a computer-implemented method includes: causing a camera module to capture a plurality of frame portions with an exposure time at a sampling clock period. The frame portions correspondingly reflect a predetermined number of first signal pulses periodically generated by a light source. The exposure time corresponds to a duration of one of the predetermined number of first signal pulses. A first data sequence is encoded into the first signal pulses. The sampling clock period is different from a duration of the first data sequence such that a second data sequence is obtained from cycling through all of the first data sequence.

Dual-aperture digital cameras with auto-focus (AF) and related methods for obtaining a focused and, optionally optically stabilized color image of an object or scene. A dual-aperture camera includes a first sub-camera having a first optics bloc and a color image sensor for providing a color image, a second sub-camera having a second optics bloc and a clear image sensor for providing a luminance image, the first and second sub-cameras having substantially the same field of view, an AF mechanism coupled mechanically at least to the first optics bloc, and a camera controller coupled to the AF mechanism and to the two image sensors and configured to control the AF mechanism, to calculate a scaling difference and a sharpness difference between the color and luminance images, the scaling and sharpness differences being due to the AF mechanism, and to process the color and luminance images into a fused color image using the calculated differences.

Dual-aperture digital cameras with auto-focus (AF) and related methods for obtaining a focused and, optionally optically stabilized color image of an object or scene. A dual-aperture camera includes a first sub-camera having a first optics bloc and a color image sensor for providing a color image, a second sub-camera having a second optics bloc and a clear image sensor for providing a luminance image, the first and second sub-cameras having substantially the same field of view, an AF mechanism coupled mechanically at least to the first optics bloc, and a camera controller coupled to the AF mechanism and to the two image sensors and configured to control the AF mechanism, to calculate a scaling difference and a sharpness difference between the color and luminance images, the scaling and sharpness differences being due to the AF mechanism, and to process the color and luminance images into a fused color image using the calculated differences.