A correction device separates modulated video signals into luminance and color difference components to enhance color clarity.
A color gamut mapping system converts video signals using segmented processing stages to achieve high-fidelity output.
A media-editing application generates color space transforms from user inputs on graphical representations of image color values.
A display system monitors ambient light to dynamically adjust content colors for optimal viewing.
A three-dimensional look-up table corrects imaging results by applying independent lightness and chroma adjustments to image data.
A dynamic-video-view system interpolates filter parameters from spatial keyframes to generate view-specific settings.
A multi-wavelength LED light source apparatus adjusts emission intensities to maintain spectral balance across varying observation distances.
Lookup tables map pixel brightness and color to specific scale parameters, avoiding artificial results in high luminance regions.
Virtual marker display calculates differential color data to adjust printer settings, eliminating repeated trial prints.
Iterative negative feedback corrects G, B, and R channels sequentially to resolve low accuracy and slow speed in display calibration.
Auto white balance system constrains correlated color temperature using autofocus distance data, preventing undesirable color shifts in mobile device cameras.
Reordering grayscale bits minimizes voltage transitions in pulse width modulation, reducing dynamic power consumption from capacitor charging cycles.
Light source estimation determines standard illuminant for each image, reducing color differences and ghost phenomena in wide-area synthesis.
Detects illuminants via feature points and maps mean chroma to resolve inconsistent color reproduction under dominant chroma objects.
Adjusting chroma parameters before luma correction minimizes bit rate requirements while preserving luminance accuracy and reducing artifacts.
A lighting control system uses video sensor feedback to dynamically adjust illumination levels and color composition in real time.
An image classification apparatus analyzes hue and chroma values to determine monochromaticity before processing.
A projection control system extracts display characteristics from test patterns to calculate correction values for output image data.