A system and method for calibrating a digital imaging device for color correction is disclosed. The method comprises obtaining an input color value and a reference color value for each of a plurality of color references, as well as a noise evaluation image having a color noise for evaluating noise reduction, the input color values and reference color values being in a non-linear color space. A plurality of color correction parameters are determined as optimized based on evaluating a fitness function in the non-linear color space. The non-linear color space can be a CIE L*a*b* color space. The fitness function can include a color correction error and a noise amplification metric so as to reduce noise amplification during color correction.

Generally, an artificial intelligence model is trained based on input from a user to identify preferences of the user for media content, such as images. Camera settings are automatically applied to media content based on the identified preferences of the user so that the user is automatically presented with media content displayed in accordance with his or her preferences.

Imaging systems may be provided with stacked-chip image sensors. A stacked-chip image sensor may include a vertical chip stack that includes an array of image pixels, control circuitry and storage and processing circuitry. The image pixel array may be coupled to the control circuitry using vertical metal interconnects. The control circuitry may provide digital image data to the storage and processing circuitry over additional vertical conductive. The stacked-chip image sensor may be configured to capture image frames at a capture frame rate and to output processed image frames at an output frame rate that is lower that the capture frame rate. The storage and processing circuitry may be configured to process image frames concurrently with image capture operations. Processing image frames concurrently with image capture operations may include adjusting the positions of moving objects and by adjusting the pixel brightness values of regions of image frames that have changing brightness.

An image processing apparatus includes: a gain calculating portion and a gain multiplication portion that perform signal enhancement with respect to an input image constituted by pixels having a plurality of color signals, with an intensity in accordance with signal values of each pixel, without changing a chroma and a hue; and a gamma correction portion that performs, for each pixel, tone conversion of a plurality of color signals that are subjected to signal enhancement, based on a weak gamma conversion curve in which a degree of gamma enhancement is weaker than in a basic gamma conversion curve which performs conversion such that a signal value of a halftone region at a time of outputting in a case where signal enhancement is not performed becomes a signal value in an appropriate output value range.

An image processing device including: a color correction section that is input with an RGB signal, and performs color correction on the RGB signal; a YC conversion section that converts the color corrected RGB signal to a first brightness signal and a color difference signal; a Y conversion section that is input with the RGB signal, and generates a second brightness signal from the RGB signal; a processor configured to execute a process, the process including computing a ratio at which to combine the first brightness signal and the second brightness signal based on the RGB signal; and a combining section that combines the first brightness signal and the second brightness signal at the computed ratio.

A reproduction device is configured to receive light emitted based on a plurality of signals having a specific amplitude in a specific color space on which information is superimposed, and to reproduce the information based on the received light. The reproduction device includes: a memory; and a processor coupled to the memory and configured to: generate a plurality of signals in the specific color space from the received light, correct the generated plurality of signals based on the specific amplitude, and acquire the information based on the corrected plurality of signals.

A method for performing lens shading compensation is provided. The method includes: receiving at least two series of source images of different exposure settings; performing first lens shading compensation on the at least two series of source images respectively; analyzing luminance distribution of the at least two series of compensated source images; composing a series of HDR images from the at least two series of compensated source images according to the luminance distribution; performing second lens shading compensation on the series of HDR image; and performing tone mapping on the series of compensated HDR images. A system for performing lens shading compensation is also provided.

An image processing circuit for multi-illumination white balance with thumbnail processing. The image processing circuit determines a set of initial weights for a source pixel in a thumbnail image by determining component values for multiple color channels of the source pixel. The image processing circuit determines a set of weights for the source pixel in a weight map for the thumbnail image. Each weight in the set of weights is determined based on corresponding initial weights from the set of initial weights. Each weight in the set of weights represents an intensity level of a respective chrominance class of multiple chrominance classes for the source pixel. The image processing circuit applies the set of weights to values of the color channels of the source pixel to generate color component values of the color channels of a target pixel in a target thumbnail image.

An image processing circuit for multi-illumination white balance with thumbnail processing. The image processing circuit determines a set of initial weights for a source pixel in a thumbnail image by determining component values for multiple color channels of the source pixel. The image processing circuit determines a set of weights for the source pixel in a weight map for the thumbnail image. Each weight in the set of weights is determined based on corresponding initial weights from the set of initial weights. Each weight in the set of weights represents an intensity level of a respective chrominance class of multiple chrominance classes for the source pixel. The image processing circuit applies the set of weights to values of the color channels of the source pixel to generate color component values of the color channels of a target pixel in a target thumbnail image.

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.