Color Signal Processing Circuits TRIZ Cases

Interlaces odd and even frame chrominance data using distinct subsampling patterns to resolve aliasing in high edge areas without increasing bandwidth.

Modular camera processor applies dynamic compensation parameters to correct image signal variations from combined lens and flash effects.

A mobile terminal display calibration method uses a household appliance camera to capture screen colors for automated adjustment.

A color converting system calculates RGBW output values using linearized inputs and gain factors to preserve red, green, and blue sub-pixel levels.

Processor calculates pixel deviation levels to modify saturation values, replacing inefficient table lookups with precise local contrast adjustments.

Hybrid white balance system combines convolutional neural network estimates with non-neural algorithms to reduce color errors by 30-65% in complex illumination.

A color adjustment device generates shift values using saturation-based weights to modify image colors.

A display system scales images via pixel and line replication modules to upscale resolution without altering original data.

A luminance block encoding method applies transfer functions to reduce dynamic range.

Interpolates color transforms via reference parameters to reduce storage and transmission while maintaining image fidelity.

A multi-color display device converts compressed color signals into M types of color signals for image rendering.

A method adjusts red and blue deviation values of a golden set to align device white points with standard targets.

A signal processing method corrects green saturation levels to match lower red or blue signals in digital cameras.

Electronically controllable pixels adapt projection layer appearance to resolve power consumption and display flexibility contradictions.

Global tone mapping preserves saturation levels during color space conversion, balancing bandwidth consumption with high precision bit depth.

A dynamic range compression method brightens dark regions in traffic images using grayscale masks and gain parameters.

A signal processor converts three-color image signals into four-color output using a variable extension coefficient to enhance display brightness.

A color balancing system adjusts image coloration by determining differences between selected reference points in source and target images.

A video processing system applies adaptive reshaping to high dynamic range signals based on operating mode indications.

A signal processing device adjusts parameters to ensure appropriate brightness and white balance across multiple image types.

A chroma converting unit processes input images while a brightness compensating unit adjusts luminance variations.

A scalable compression algorithm adjusts image resolution using color-by-color processing and wavelet transforms.

Segmenting color spaces into lower dimensional lookup tables reduces computational complexity and storage requirements for video conversion.

A multi-pixel memory compositor scales video data using parallel interpolation to maintain image quality.

Dynamic chroma subsampling evaluates reconstructed image quality metrics to adjust color resolution, reducing visual artifacts in text and graphics.

A multi-primary color system uses orthogonal primaries to expand the display gamut and enhance color saturation control.

A color accommodation module substitutes image frame colors with alternative values to adapt visual content.

Server-side transcoding handles complex format conversions, allowing users to upload and share videos without technical expertise.

An image processing apparatus extracts specular reflection components to calculate white balance gains alongside standard pixel extraction.

A dual-image sensor endoscope uses a beam splitter to guide distinct light wavelengths to separate detectors for simultaneous white and fluorescent capture.