A color gamut conversion device synthesizes multiple coordinate movement directions to determine final pixel mapping.
Image processing method adjusts white dot coordinates and selects grayscale lookup tables to optimize chromatic visible angles.
A color matrix section detects pixel brightness to perform targeted color adjustment on signal processing units.
A sub-pixel mapping method assigns input signal components to specific display sub-pixels.
A frequency demodulator generates chrominance signals using phase difference components and arctangent approximation.
Segmenting video streams into independent and dependent layers reduces power consumption while maintaining quality under challenging channel conditions.
An image processing device calculates block variances to select patches within a gray zone for accurate auto white balancing.
Map-setting units select light-source boxes with maximum white pixels to calculate red and blue gains, resolving unstable color changes from varying locations.
A focus moving unit scans preset ranges to expose an image sensor and obtain fluorescent images of biological samples.
Distinct sampling schemes generate separate feature maps to boost recognition rates without increasing device complexity.
A method maps a given color space to a candidate color space encompassing all primaries for accurate image reconstruction.
A display control portion superimposes past images on input images for flexible visual comparison.
Dynamic color correction matrices adjust display output for varying backlight levels.
Pre-processing corrects luminance values before chroma subsampling to resolve color accuracy and compression efficiency trade-offs.
A hue rotation processing apparatus transforms color difference signals to simplify color identification for dichromats.