Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to implement global tone mapping of images based on luminance and chrominance are disclosed. Examples disclosed herein determine a chromatic gain to apply to input chrominance components corresponding to an input color of a pixel of the input image, the chromatic gain based on an input luminance component corresponding to the input color of the pixel and a luminance gain to be applied to the input luminance component of the pixel to determine an output luminance component of the pixel. Disclosed examples also apply the chromatic gain to the input chrominance components of the pixel to determine output chrominance components of the pixel. Disclosed examples further combine the output luminance component and the output chrominance components to determine an output color of the pixel.

A chroma key screen (SL; SR) for arrangement along a side of a studio set comprises a plurality of vertically arranged louvres or slats (L), each angled in a direction (D) towards the front of the studio set. The screen (SL, SR) may appear to the studio camera to be a substantially continuous chroma key, but reflections (R) of the chroma key screen (SL; SR) from a window (W) or from objects (O) or people (P) within the studio set are reduced. This allows an improved augmented reality (AR) studio set to be created.

A chroma key screen (SL; SR) for arrangement along a side of a studio set comprises a plurality of vertically arranged louvres or slats (L), each angled in a direction (D) towards the front of the studio set. The screen (SL, SR) may appear to the studio camera to be a substantially continuous chroma key, but reflections (R) of the chroma key screen (SL; SR) from a window (W) or from objects (O) or people (P) within the studio set are reduced. This allows an improved augmented reality (AR) studio set to be created.

Techniques for image processing including receiving input image data, wherein the input image data includes data associated with a clear color channel, receiving a color offset value associated with a color channel, wherein color values for the color channel are not provided in the input image data, based on the color offset value, generating intermediate estimated color values for the color channel, wherein generating the intermediate estimated color values includes: clipping color values that have a magnitude greater than the color offset value, and adjusting color values that have a magnitude less than the color offset value based on the color offset value, applying a color correction function to the intermediate estimated color values based on the color offset value to determine color corrected estimated color values, and outputting the color corrected estimated color values.

An image processing apparatus processes a color filter mosaic, CFM, image of a scene into a final image of the scene. The image processing apparatus includes processing circuitry configured to implement a neural network. The neural network is configured to process the CFM image into an enhanced CFM image. The processing circuitry is further configured to transform the enhanced CFM image into the final image.

An illustrative apparatus may determine a color-skew metric for an image frame captured by an image capture system. The color-skew metric may be indicative of an extent to which the image frame skews to a particular color. Based on the color-skew metric and an adaptive target control function, the apparatus may determine a frame auto-exposure target. Based on the frame auto-exposure target, the apparatus may update one or more auto-exposure parameters for use by the image capture system to capture an additional image frame. Corresponding apparatuses, systems, and methods for managing auto-exposure of image frames are also disclosed.

An illustrative apparatus may determine a color-skew metric for an image frame captured by an image capture system. The color-skew metric may be indicative of an extent to which the image frame skews to a particular color. Based on the color-skew metric and an adaptive target control function, the apparatus may determine a frame auto-exposure target. Based on the frame auto-exposure target, the apparatus may update one or more auto-exposure parameters for use by the image capture system to capture an additional image frame. Corresponding apparatuses, systems, and methods for managing auto-exposure of image frames are also disclosed.

An image processing device and an image processing method are provided. The image processing device includes an image sensor configured to sense and output a raw image and an image signal processor configured to compare pixel values of the raw image with a reference level to classify a saturation color image and a non-saturation color image, calculate a first fixed pattern noise from the saturation color image, calculate a second fixed pattern noise from the non-saturation color image, generate a final fixed pattern noise by combining the first fixed pattern noise with the second fixed pattern noise, and output a revised image by subtracting the final fixed pattern noise from the raw image.

An image processing device and an image processing method are provided. The image processing device includes an image sensor configured to sense and output a raw image and an image signal processor configured to compare pixel values of the raw image with a reference level to classify a saturation color image and a non-saturation color image, calculate a first fixed pattern noise from the saturation color image, calculate a second fixed pattern noise from the non-saturation color image, generate a final fixed pattern noise by combining the first fixed pattern noise with the second fixed pattern noise, and output a revised image by subtracting the final fixed pattern noise from the raw image.

A dual mode camera may have a camera module and a light source. The camera module may include a quasi-bandpass filter for passing visible light and passing an attenuated portion of near-infrared light to an image sensor for detection. A processor may determine an ambient lighting condition corresponding with an amount of ambient visible light detected by a photodetector. In response to a first ambient lighting condition, the processor may send a first control signal to an encoder to encode image data in monochrome, and another signal to activate a light source. In response to a second ambient lighting condition, the processor may send a second control signal to the encoder to encode image data in color. The light source may emit a band of near-infrared light corresponding with an atmospheric absorption band. The quasi-bandpass filter may attenuate a portion of near-infrared light corresponding with the same atmospheric absorption band.