Systems and methods for providing remote approval of an image for printing are provided. One system includes a processing circuit in communication with an image capturing device that is configured to capture an image of a printed product. The processing circuit is configured to process the captured image into a processed image accurate to within a tolerance in a color space to indicate the visual appearance of one or more colors. The color space is a standardized color space, such as sRGB or CIELAB. The processing circuit is further configured to transmit the processed image to a display located remote from the image capturing device and to receive an input signal from a remote input device to allow a user to approve or reject the displayed processed image for printing on a print device.

The color coding approach adopted by the Anchor Point Cloud Compression (PCC) leads to a significant color distortion, even at very low compression ratios. This color distortion is also referred to as color leaking Two approaches are able to mitigate the color leaking Both approaches reduce the color leaking significantly, while one of them (e.g., 1D subsampling) is more robust and preferred in most cases. A more general approach is an adaptive selection between these two approaches.

Devices, systems and methods are disclosed for improving color resolution in YUV subsampled signals. Chrominance data may be subsampled using two different techniques and the two different outputs may be interlaced to improve a resulting color resolution as perceived by a viewer. Luminance data may be adjusted in paired frames to improve the perceived color resolution without affecting the perceived luminance values. High edge areas, including high frequency variations in luminance values, may be adaptively desaturated to improve the perceived color resolution of the resulting output.

Device-independent coordinate values at an adjustment point are converted into second coordinate values in accordance with a B2A table of an output profile, and the second coordinate values are converted into adjustment target PCS values, which are the device-independent coordinate values, in accordance with an A2B table of the output profile. When values obtained by adding relative values of an adjustment target using PCS coordinates as a reference, are assumed as target PCS values, in an optimization step, an optimization process is carried out to obtain an optimal solution of adjustment color values. The optimization process includes an element for bringing provisional PCS values, obtained by converting, in accordance with the A2B table, provisional color values obtained by adding adjustment color values to the adjustment target color values, closer to the target PCS values.

A printing system is disclosed. The printing system includes a color management unit including one or more color caches to store input colors and corresponding output colors and a color engine (CE) to receive the input colors and perform Force-X transformations to map an input color into an output color based on a pre-defined color parameter.

A driving circuit configured to receive metadata and image signals, the driving circuit comprising: a meta-data parsing circuit configured to parse the metadata and output parsed metadata; an image analyzing and data processing circuit configured to analyze the image signals based on the parsed metadata and output a parameter and data signals; a reference voltage selector configured to output a reference voltage selection signal based on the parameter and the parsed metadata; a grayscale voltage generator configured to select a plurality of reference voltages in response to the reference voltage selection signal and generate a plurality of grayscale voltages based on the selected reference voltages; and an output circuit configured to convert the data signals to data voltage signals based on the grayscale voltages.

Systems and methods for analyzing printed images are provided. One system includes a processing circuit configured to: determine a set of one or more locations on the printed image on the substrate to measure color values; determine a set of input tone values for the at least one ink; receive a set of measured color values corresponding to the set of locations on the printed image from a sensor; and determine a tone value increase error based on the set of measured color values and the set of input tone values. The at least one processing circuit is configured to determine the tone value increase error without requiring measured color values from an area having solid ink.

The present invention relates to charts, stacks and methods for evaluating skin color of a mammalian subject. The chart may include a substrate and an indicia visible from a first side of the substrate that includes a plurality of images of mammalian skin tones having varying degrees of yellowness, wherein each indicia is correlated with an index value. Also, the present invention relates to packaged topical cosmetic products that include a skin chart as well as to methods for evaluating anti-aging and skin lightening products.

Efficient image compression for video data characterized by a non-neutral dominant white point is achieved by transforming the input video signal into a de-correlated video signal based on a color difference encoding transform, wherein the color difference encoding transform is adapted based on the dominant white point using an algorithm. The adapting algorithm is designed for optimizing low-entropy output when the white point is other than a neutral or equal-energy value.

The present disclosure discloses a method and an apparatus for processing image signal conversion. In one example method, an input primary color signal is obtained. The primary color signal is a numeric value of an optical signal corresponding to an image. The primary color signal is proportional to light intensity. Conversion processing is performed on the primary color signal to obtain processed image information. The image information is a numeric expression value of the image. The conversion processing includes at least the following processing:

[00001]$L^{}={a?\left(\frac{\mathrm{pL}}{\left(p-1\right).Math.L+1}\right)}^m+b,$

where a, b, m, and p are rational numbers, L is the input primary color signal, and L is the processed image information.